{
  "schema": "borg-catalog/v1",
  "version": "2026-09-16.1",
  "reviewed": "2026-09-16",
  "profiles": [
    {
      "id": "full",
      "name": "Full BORG node",
      "description": "Local semantic memory, temporal graph, small extraction models and native connector; add your orchestration choices."
    },
    {
      "id": "tools",
      "name": "Tools and worker node",
      "description": "Native connector and selected work services. Full runtime package is installed, but local memory models and graph services stay off."
    }
  ],
  "platforms": [
    {
      "id": "macos-arm64",
      "name": "Apple Silicon Mac",
      "status": "verified",
      "note": "The existing complete installation has native acceptance. Provider login and selected optional services still need your checks."
    },
    {
      "id": "macos-x64",
      "name": "Intel Mac",
      "status": "unverified",
      "note": "Artifacts are pinned; complete native installation acceptance is pending."
    },
    {
      "id": "linux-x64",
      "name": "Linux x86-64",
      "status": "unverified",
      "note": "Artifacts are pinned; complete native installation acceptance is pending. A user systemd session is required."
    },
    {
      "id": "linux-arm64",
      "name": "Linux ARM64",
      "status": "unverified",
      "note": "Artifacts are pinned; complete native installation acceptance is pending. A user systemd session is required."
    },
    {
      "id": "windows",
      "name": "Windows",
      "status": "unsupported",
      "note": "This native installer does not support Windows. Choose a supported target; this selection produces a planning warning only."
    }
  ],
  "goals": [
    {
      "id": "coding",
      "name": "Build software",
      "description": "Coding agents, browser checks and durable project work.",
      "profile": "full",
      "components": [
        "codex",
        "router",
        "inbox",
        "beads",
        "fleet",
        "browser"
      ],
      "integrations": [
        "github"
      ],
      "workload": {
        "agents": 2,
        "browsers": 1,
        "builds": 1,
        "memory_millions": 0.1,
        "project_gb": 50,
        "context_tokens": 16384,
        "training": false
      }
    },
    {
      "id": "research",
      "name": "Research and recall",
      "description": "Knowledge gathering, retained context and source-based review.",
      "profile": "full",
      "components": [
        "codex",
        "inbox",
        "beads",
        "browser"
      ],
      "integrations": [
        "google-workspace",
        "notion"
      ],
      "workload": {
        "agents": 2,
        "browsers": 2,
        "builds": 0,
        "memory_millions": 0.5,
        "project_gb": 50,
        "context_tokens": 16384,
        "training": false
      }
    },
    {
      "id": "automation",
      "name": "Run operations",
      "description": "Coordinate agents with your existing workflows and business tools.",
      "profile": "full",
      "components": [
        "codex",
        "router",
        "launch-bus",
        "inbox",
        "beads",
        "fleet"
      ],
      "integrations": [
        "n8n",
        "grafana"
      ],
      "workload": {
        "agents": 2,
        "browsers": 1,
        "builds": 0,
        "memory_millions": 0.1,
        "project_gb": 50,
        "context_tokens": 16384,
        "training": false
      }
    },
    {
      "id": "learning",
      "name": "Evaluate local models",
      "description": "Keep research adapters separate from daily memory and review every promotion.",
      "profile": "full",
      "components": [
        "codex",
        "inbox",
        "beads",
        "adapters",
        "training"
      ],
      "integrations": [
        "label-studio",
        "mlflow"
      ],
      "workload": {
        "agents": 1,
        "browsers": 0,
        "builds": 0,
        "memory_millions": 0.1,
        "project_gb": 100,
        "context_tokens": 16384,
        "training": true
      }
    },
    {
      "id": "custom",
      "name": "Start from a core node",
      "description": "Select only the orchestration and integrations you need.",
      "profile": "full",
      "components": [],
      "integrations": [],
      "workload": {
        "agents": 0,
        "browsers": 0,
        "builds": 0,
        "memory_millions": 0.1,
        "project_gb": 25,
        "context_tokens": 16384,
        "training": false
      }
    }
  ],
  "items": [
    {
      "id": "codex",
      "type": "component",
      "name": "Codex conductor",
      "category": "Orchestration",
      "summary": "Start, inspect, steer and interrupt native Codex work in an installation-owned profile.",
      "status": "packaged",
      "status_label": "Included",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "conductor/borg-conductor.mjs",
      "docs": "docs/COMPONENTS.md#codex",
      "setup": [
        "Run borg auth codex on this machine, then borg doctor.",
        "Use the installed conductor with your own project path and a unique work ID."
      ],
      "limitations": [
        "Your provider account, allowance and live machine admission are required. A selected conductor is not a running agent."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "router",
      "type": "component",
      "name": "Machine and account router",
      "category": "Orchestration",
      "summary": "Choose among your configured Codex lanes using live capacity, account identity, work claims and allowance.",
      "status": "packaged",
      "status_label": "Included",
      "requires": [
        "codex"
      ],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "conductor/router/router.mjs",
      "docs": "docs/COMPONENTS.md#router",
      "setup": [
        "Configure your own machine/account lanes in conductors/config.json.",
        "Verify current capacity and claims collectors before dispatch; follow conductor/INTEGRATION.md."
      ],
      "limitations": [
        "Remote tool enrollment does not add conductor lanes. Unknown capacity or account state fails admission."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "grok",
      "type": "component",
      "name": "Grok conductor",
      "category": "Orchestration",
      "summary": "Run the bundled Grok bridge with interruption and same-session resume.",
      "status": "owner-setup",
      "status_label": "Owner setup",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "conductor/providers/grok-conductor.mjs",
      "docs": "docs/COMPONENTS.md#grok",
      "setup": [
        "Install and sign in to a compatible Grok CLI in your own dedicated profile.",
        "Configure its binary, profile, version, private state and loopback port in conductors/config.json; follow the provider setup guide.",
        "Qualify the actual CLI and create its readiness receipt before starting the bundled bridge."
      ],
      "limitations": [
        "Grok CLI and credentials are not installed by BORG. The bridge is not part of Codex allowance routing."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "claude",
      "type": "component",
      "name": "Claude launch adapter",
      "category": "Orchestration",
      "summary": "Launch bounded Claude Code headless work through the provider launch bus.",
      "status": "owner-setup",
      "status_label": "Owner setup",
      "requires": [
        "launch-bus"
      ],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "conductor/providers/launch-bus.mjs",
      "docs": "docs/COMPONENTS.md#claude",
      "setup": [
        "Install Claude Code and complete its native sign-in with your own account.",
        "Set the Claude binary and enable the provider in your private conductor configuration.",
        "Use the documented launch packet with a bounded work ID, prompt and project path."
      ],
      "limitations": [
        "This adapter does not provide native thread status, mid-turn steering or provider allowance routing."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "launch-bus",
      "type": "component",
      "name": "Provider launch bus",
      "category": "Orchestration",
      "summary": "Send a common work packet to the selected Codex, Grok or Claude backend and retain a launch receipt.",
      "status": "packaged",
      "status_label": "Included",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "conductor/providers/launch-bus.mjs",
      "docs": "docs/COMPONENTS.md#launch-bus",
      "setup": [
        "Configure the provider you will use, then validate its native readiness.",
        "Submit a bounded packet through the launch-bus CLI; inspect the provider result as well as the launch receipt."
      ],
      "limitations": [
        "A launch receipt is not completed work. Provider capabilities differ."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "inbox",
      "type": "component",
      "name": "Agent Inbox",
      "category": "Coordination",
      "summary": "Authenticated identities, grants, leased messages, assignments and shared discoveries.",
      "status": "packaged",
      "status_label": "Included",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "coordination/borg_coordination/portable.py",
      "docs": "docs/COMPONENTS.md#inbox",
      "setup": [
        "Use the installation-owned Inbox; create scoped identities for your agents.",
        "Verify a send, recipient read and acknowledgment using those identities."
      ],
      "limitations": [
        "Each installation starts with its own Hub and empty records; selecting Inbox does not federate multiple Hubs."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "beads",
      "type": "component",
      "name": "Beads work tracking",
      "category": "Coordination",
      "summary": "Durable projects, owned tasks, dependencies and acceptance evidence.",
      "status": "packaged",
      "status_label": "Included",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "coordination/borg_coordination/cli.py",
      "docs": "docs/COMPONENTS.md#beads",
      "setup": [
        "Use the installed borg home/bin/bd wrapper to access this installation’s work store.",
        "Create a project, claim work and record acceptance before closing it."
      ],
      "limitations": [],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "fleet-context",
      "type": "component",
      "name": "Fleet context extension",
      "category": "Coordination",
      "summary": "Public source for a bounded view of machine, account and work observations from your own collectors.",
      "status": "owner-setup",
      "status_label": "Owner setup",
      "requires": [
        "inbox"
      ],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "coordination/comms/hub/fleet_context.py",
      "docs": "docs/COMPONENTS.md#fleet-context",
      "setup": [
        "Build or connect your own telemetry and account/work collectors using the documented source contract.",
        "Embed the fleet context reader with explicit owner-controlled sources; the default source list is empty.",
        "Verify fresh coverage and actual work ownership before using its observations."
      ],
      "limitations": [
        "Source extension only: the installer does not deploy collectors or operational dashboards. Missing and stale observations stay unknown."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "maintenance",
      "type": "component",
      "name": "Memory maintenance scripts",
      "category": "Learning",
      "summary": "Source for scoped ingestion, consolidation, decay and cleanup under your own retention policy.",
      "status": "owner-setup",
      "status_label": "Owner setup",
      "requires": [],
      "profiles": [
        "full"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "memory/bin/mem0-dream",
      "docs": "docs/COMPONENTS.md#maintenance",
      "setup": [
        "Review the shipped script and its configuration/help before running against your data.",
        "Set your own retention, backup, allowed sources and scheduling; verify a bounded operation first."
      ],
      "limitations": [
        "Scripts are included; historical schedules and private ingestion sources are not. The background graph feed is a separate service."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "credential-handles",
      "type": "component",
      "name": "Provider login handles",
      "category": "Tools",
      "summary": "Keep nonsecret provider metadata and route an agent to the correct native login or consent screen.",
      "status": "owner-setup",
      "status_label": "Owner setup",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "connector/service_handles.py",
      "docs": "docs/COMPONENTS.md#credential-handles",
      "setup": [
        "Configure provider names, HTTPS login URLs and intended scopes in the private borg-context/credentials.json registry.",
        "Discover credential_ tools and verify the returned native login handoff."
      ],
      "limitations": [
        "Handles contain metadata only. They do not hold credentials, proxy authenticated APIs or prove current provider authorization."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "fleet",
      "type": "component",
      "name": "Multi-machine connector",
      "category": "Coordination",
      "summary": "Route files, commands, jobs and browser tools to explicitly enrolled machines.",
      "status": "packaged",
      "status_label": "Included",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "connector/fleet_tools.py",
      "docs": "docs/COMPONENTS.md#fleet",
      "setup": [
        "Install each target independently and verify its borg_identity.",
        "Establish trusted SSH, then enroll its exact owner, home and instance ID with borg fleet add.",
        "Verify fleet_hosts and perform a reversible tool call on the selected machine."
      ],
      "limitations": [
        "Enrollment is explicit. Memory is not replicated between machines. Shared desktop resources remain serialized."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "browser",
      "type": "component",
      "name": "Native browser tools",
      "category": "Tools",
      "summary": "BORG-owned browser sessions with inspect, click, navigation and durable operation receipts.",
      "status": "packaged",
      "status_label": "Included",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "connector/native_browser.py",
      "docs": "docs/COMPONENTS.md#browser",
      "setup": [
        "Use borg tools browser_ to discover the installed schema.",
        "Open an allowed page and verify a reversible interaction."
      ],
      "limitations": [
        "Browser runtime is included even if this planning option is unselected. Account sign-in and website permissions remain yours."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "desktop",
      "type": "component",
      "name": "macOS desktop tools",
      "category": "Tools",
      "summary": "Inspect and operate native apps in an interactive macOS session.",
      "status": "owner-setup",
      "status_label": "Owner setup",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64"
      ],
      "source": "connector/native_ui.py",
      "docs": "docs/COMPONENTS.md#desktop",
      "setup": [
        "Grant the OS permissions required by your chosen apps and tools.",
        "Use ui_permissions and a reversible native app action to verify access."
      ],
      "limitations": [
        "Requires an interactive macOS session. One physical desktop cannot serve independent simultaneous focus actions."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "adapters",
      "type": "component",
      "name": "Extraction LoRA adapters",
      "category": "Learning",
      "summary": "Three shipped adapter weight sets and model cards for local extraction research.",
      "status": "research",
      "status_label": "Research — inactive",
      "requires": [],
      "profiles": [
        "full"
      ],
      "platforms": [
        "macos-arm64"
      ],
      "source": "adapters/MANIFEST.json",
      "docs": "docs/COMPONENTS.md#adapters",
      "setup": [
        "Inspect borg adapters list.",
        "On Apple Silicon, use borg adapters prepare only when you want the separately downloaded, pinned MLX base models.",
        "Run your own held-out evaluation and real-pipeline canary before any promotion."
      ],
      "limitations": [
        "Inactive by default. Preparation does not enable extraction or establish semantic quality."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "training",
      "type": "component",
      "name": "Training and evaluation",
      "category": "Learning",
      "summary": "Private dataset builders, training chains, held-out exams and promotion canaries.",
      "status": "research",
      "status_label": "Research — inactive",
      "requires": [
        "adapters"
      ],
      "profiles": [
        "full"
      ],
      "platforms": [
        "macos-arm64"
      ],
      "source": "training",
      "docs": "docs/COMPONENTS.md#training",
      "setup": [
        "Set a private dataset and checkpoint budget; use only data you are permitted to train on.",
        "Read the training and adapter model cards before running an isolated experiment.",
        "Keep the daily memory pipeline separate from resource-heavy training."
      ],
      "limitations": [
        "No unattended training or promotion is enabled. Hardware allowances are not measured training minimums."
      ],
      "license": "BORG implementation: MIT; provider terms apply"
    },
    {
      "id": "github",
      "type": "integration",
      "name": "GitHub",
      "category": "Development",
      "summary": "Repository context, issues, pull requests and code review.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://github.com/github/github-mcp-server",
      "docs": "https://github.com/github/github-mcp-server",
      "setup": [
        "Install or use your own GitHub service/account.",
        "Follow the official GitHub integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "GitHub MCP server MIT; GitHub terms"
    },
    {
      "id": "figma",
      "type": "integration",
      "name": "Figma",
      "category": "Development",
      "summary": "Design context and implementation handoff through the official MCP server.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://developers.figma.com/docs/figma-mcp-server/",
      "docs": "https://developers.figma.com/docs/figma-mcp-server/",
      "setup": [
        "Install or use your own Figma service/account.",
        "Follow the official Figma integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Figma account and product terms"
    },
    {
      "id": "sentry",
      "type": "integration",
      "name": "Sentry",
      "category": "Development",
      "summary": "Application error and issue context.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://docs.sentry.io/product/sentry-mcp/",
      "docs": "https://docs.sentry.io/product/sentry-mcp/",
      "setup": [
        "Install or use your own Sentry service/account.",
        "Follow the official Sentry integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Sentry service and upstream terms"
    },
    {
      "id": "vercel",
      "type": "integration",
      "name": "Vercel",
      "category": "Development",
      "summary": "Project and deployment context for your Vercel account.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://vercel.com/docs/mcp",
      "docs": "https://vercel.com/docs/mcp",
      "setup": [
        "Install or use your own Vercel service/account.",
        "Follow the official Vercel integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Vercel service terms"
    },
    {
      "id": "railway",
      "type": "integration",
      "name": "Railway",
      "category": "Development",
      "summary": "Owner-controlled projects, services and deployments.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://docs.railway.com/ai/mcp-server",
      "docs": "https://docs.railway.com/ai/mcp-server",
      "setup": [
        "Install or use your own Railway service/account.",
        "Follow the official Railway integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Railway service and upstream terms"
    },
    {
      "id": "cloudflare",
      "type": "integration",
      "name": "Cloudflare / web ChatGPT",
      "category": "Development",
      "summary": "Expose your BORG MCP through your own domain, Access policy and tunnel.",
      "status": "owner-setup",
      "status_label": "Owner setup",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "connector/cloudflare_gateway.py",
      "docs": "docs/WEB.md",
      "setup": [
        "Create your own Cloudflare tunnel, domain, Access application and owner policy.",
        "Run borg web with your own public URL, issuer, audience, email and private tunnel credential file.",
        "Start the configured gateway/tunnel and verify OAuth plus an actual tool call from your web client."
      ],
      "limitations": [
        "The BORG gateway code is included; domain, DNS, Cloudflare account and web-client acceptance are owner setup. A checkbox does not expose a server."
      ],
      "license": "Cloudflare service terms; cloudflared Apache-2.0"
    },
    {
      "id": "google-workspace",
      "type": "integration",
      "name": "Google Workspace",
      "category": "Knowledge",
      "summary": "Owner-authorized files, calendars and workspace data via the chosen client connector or official APIs.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://developers.google.com/workspace",
      "docs": "https://developers.google.com/workspace",
      "setup": [
        "Install or use your own Google Workspace service/account.",
        "Follow the official Google Workspace integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Google Workspace and API terms"
    },
    {
      "id": "microsoft-365",
      "type": "integration",
      "name": "Microsoft 365",
      "category": "Knowledge",
      "summary": "Owner-scoped Microsoft Graph access to mail, files and calendar.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://learn.microsoft.com/en-us/graph/overview",
      "docs": "https://learn.microsoft.com/en-us/graph/overview",
      "setup": [
        "Install or use your own Microsoft 365 service/account.",
        "Follow the official Microsoft 365 integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Microsoft service and API terms"
    },
    {
      "id": "slack",
      "type": "integration",
      "name": "Slack",
      "category": "Knowledge",
      "summary": "Team context and authorized workflow actions.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://docs.slack.dev/",
      "docs": "https://docs.slack.dev/",
      "setup": [
        "Install or use your own Slack service/account.",
        "Follow the official Slack integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Slack service and API terms"
    },
    {
      "id": "notion",
      "type": "integration",
      "name": "Notion",
      "category": "Knowledge",
      "summary": "Workspace pages and knowledge through Notion MCP.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://developers.notion.com/docs/mcp",
      "docs": "https://developers.notion.com/docs/mcp",
      "setup": [
        "Install or use your own Notion service/account.",
        "Follow the official Notion integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Notion service terms"
    },
    {
      "id": "n8n",
      "type": "integration",
      "name": "n8n",
      "category": "Automation",
      "summary": "Visual workflows, scheduled tasks, webhooks and API glue.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://docs.n8n.io/advanced-ai/accessing-n8n-mcp-server/",
      "docs": "https://docs.n8n.io/advanced-ai/accessing-n8n-mcp-server/",
      "setup": [
        "Install or use your own n8n service/account.",
        "Follow the official n8n integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Sustainable Use License; additional commercial terms may apply"
    },
    {
      "id": "twenty",
      "type": "integration",
      "name": "Twenty CRM",
      "category": "Operations",
      "summary": "Owner-hosted customer and pipeline data.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://docs.twenty.com/",
      "docs": "https://docs.twenty.com/",
      "setup": [
        "Install or use your own Twenty CRM service/account.",
        "Follow the official Twenty CRM integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "AGPL-3.0; hosted terms where applicable"
    },
    {
      "id": "penpot",
      "type": "integration",
      "name": "Penpot",
      "category": "Development",
      "summary": "Owner-hosted collaborative design and design-system context.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://help.penpot.app/",
      "docs": "https://help.penpot.app/",
      "setup": [
        "Install or use your own Penpot service/account.",
        "Follow the official Penpot integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "MPL-2.0; hosted terms where applicable"
    },
    {
      "id": "erpnext",
      "type": "integration",
      "name": "ERPNext / Frappe",
      "category": "Operations",
      "summary": "Accounting and operational records via your scoped Frappe API.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://docs.frappe.io/framework/user/en/api/rest",
      "docs": "https://docs.frappe.io/framework/user/en/api/rest",
      "setup": [
        "Install or use your own ERPNext / Frappe service/account.",
        "Follow the official ERPNext / Frappe integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "ERPNext GPL-3.0; Frappe MIT"
    },
    {
      "id": "grafana",
      "type": "integration",
      "name": "Grafana / Prometheus",
      "category": "Operations",
      "summary": "Machine and service metrics to support capacity decisions.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://grafana.com/docs/",
      "docs": "https://grafana.com/docs/",
      "setup": [
        "Install or use your own Grafana / Prometheus service/account.",
        "Follow the official Grafana / Prometheus integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Grafana AGPL-3.0; Prometheus Apache-2.0"
    },
    {
      "id": "metabase",
      "type": "integration",
      "name": "Metabase",
      "category": "Operations",
      "summary": "Business reporting against your selected data sources.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://www.metabase.com/docs/latest/",
      "docs": "https://www.metabase.com/docs/latest/",
      "setup": [
        "Install or use your own Metabase service/account.",
        "Follow the official Metabase integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Metabase open source AGPL; commercial editions separate"
    },
    {
      "id": "postgres",
      "type": "integration",
      "name": "PostgreSQL / PostGIS",
      "category": "Operations",
      "summary": "Owner-managed relational and spatial data.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://www.postgresql.org/docs/",
      "docs": "https://www.postgresql.org/docs/",
      "setup": [
        "Install or use your own PostgreSQL / PostGIS service/account.",
        "Follow the official PostgreSQL / PostGIS integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "PostgreSQL License; PostGIS GPL-2.0+"
    },
    {
      "id": "label-studio",
      "type": "integration",
      "name": "Label Studio",
      "category": "Learning",
      "summary": "Human-reviewed annotations for evaluation and training.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://labelstud.io/guide/",
      "docs": "https://labelstud.io/guide/",
      "setup": [
        "Install or use your own Label Studio service/account.",
        "Follow the official Label Studio integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Apache-2.0; commercial editions separate"
    },
    {
      "id": "mlflow",
      "type": "integration",
      "name": "MLflow / dbt / DuckDB",
      "category": "Learning",
      "summary": "Experiment tracking and reproducible local data transformations.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://mlflow.org/docs/latest/",
      "docs": "https://mlflow.org/docs/latest/",
      "setup": [
        "Install or use your own MLflow / dbt / DuckDB service/account.",
        "Follow the official MLflow / dbt / DuckDB integration guide. Add its supported MCP server or API client to the agent runtime you chose.",
        "Keep credentials in your own local secret store. Verify an authorized read before enabling writes."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "MLflow/dbt Apache-2.0; DuckDB MIT"
    },
    {
      "id": "custom-mcp",
      "type": "integration",
      "name": "Custom MCP or API",
      "category": "Extensions",
      "summary": "Bring a compatible connector or an owner-built tool.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://modelcontextprotocol.io/docs/develop/connect-local-servers",
      "docs": "https://modelcontextprotocol.io/docs/develop/connect-local-servers",
      "setup": [
        "Choose a trusted MCP server or API client and inspect its required permissions.",
        "Configure it in your chosen agent client using your own endpoint, local executable and credential references.",
        "Document its tool contract and verify identity, authorized read and a reversible action."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Your chosen server and service licenses"
    },
    {
      "id": "local-tools",
      "type": "integration",
      "name": "Document, media and science tools",
      "category": "Extensions",
      "summary": "Use your own Blender, FFmpeg, document, CAD, GIS or analysis toolchain through native process jobs.",
      "status": "external",
      "status_label": "Connect your service",
      "requires": [],
      "profiles": [
        "full",
        "tools"
      ],
      "platforms": [
        "macos-arm64",
        "macos-x64",
        "linux-x64",
        "linux-arm64"
      ],
      "source": "https://www.blender.org/",
      "docs": "https://www.blender.org/",
      "setup": [
        "Install the upstream tools needed for this workload on the selected target.",
        "Record nonsecret version and invocation pointers in your owner tools catalog.",
        "Run a small representative task and add its measured resources to the machine budget."
      ],
      "limitations": [
        "BORG records this setup choice. It does not install, authenticate or proxy this external service."
      ],
      "license": "Per-tool licenses apply; no commercial app entitlement is bundled"
    }
  ],
  "sizing": {
    "version": "planning-2026-09-16.1",
    "kind": "engineering_allowance",
    "memory_units": "GB planning units (decimal); purchase the next suitable hardware tier",
    "disk_units": "GB of free SSD space, not total drive size",
    "default_model": "qwen3:4b Q4_K_M + nomic-embed-text, local extraction only",
    "sources": [
      {
        "name": "BORG hardware guide and locked artifacts",
        "url": "docs/HARDWARE.md"
      },
      {
        "name": "Ollama concurrency and context memory",
        "url": "https://docs.ollama.com/faq#how-does-ollama-handle-concurrent-requests"
      },
      {
        "name": "Qdrant capacity planning",
        "url": "https://qdrant.tech/documentation/operations/capacity-planning/"
      }
    ],
    "allowances": {
      "os_ram_gb": 4,
      "full_services_ram_gb": 8,
      "tools_services_ram_gb": 2,
      "per_agent_ram_gb": 1,
      "per_browser_ram_gb": 2,
      "per_build_ram_gb": 3,
      "per_million_facts_ram_gb": 6,
      "full_runtime_disk_gb": 30,
      "tools_runtime_disk_gb": 20,
      "per_million_facts_disk_gb": 20,
      "project_disk_multiplier": 1.5,
      "headroom_multiplier": 1.3,
      "training_extra_ram_gb": 32,
      "training_extra_disk_gb": 100,
      "per_build_cpu_cores": 2,
      "per_browser_cpu_cores": 0.5,
      "per_agent_cpu_cores": 0.25
    },
    "notes": [
      "These values are conservative planning allowances, not measured minimums, throughput promises or dispatch admission.",
      "Default local extraction uses one parallel Ollama request; cloud coding agents do not load frontier model weights on the host.",
      "The fact allowance includes vectors, payload, graph/history and headroom. Actual payload/index/retention size varies. It is not a Qdrant benchmark.",
      "External services are assumed to run elsewhere. Add their separately measured host requirements if you co-locate them.",
      "The worker profile retains the complete dependency package; it saves running memory/model services, not all runtime disk space.",
      "Training adds a planning reserve only; profile the exact base model, sequence, layers, batch, dataset and checkpoints."
    ]
  }
}