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"openclaw","hermes","agent","memory","intelligence","context-engine","safety"],"repository":{"type":"git","url":"git+https://github.com/aevonix/colony.git"},"description":"Colony's intelligence sidecar —graph memory, autonomy loop, context assembly, safety pipeline — mountable into OpenClaw, Hermes, and other agent harnesses via the /v1/host API.","maintainers":[{"name":"kurcide","email":"marc@aevonix.com"}],"readme":"<div align=\"center\">\n\n# Colony\n\nA persistent memory and cognition layer for AI agents.\n\n[![MIT License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)\n[![PyPI](https://img.shields.io/pypi/v/colonyai.svg)](https://pypi.org/project/colonyai/)\n[![CI](https://github.com/Aevonix/ColonyAI/actions/workflows/ci.yml/badge.svg)](https://github.com/Aevonix/ColonyAI/actions/workflows/ci.yml)\n[![Release](https://img.shields.io/github/v/release/Aevonix/ColonyAI)](https://github.com/Aevonix/ColonyAI/releases)\n[![Python 3.11+](https://img.shields.io/badge/python-3.11%2B-blue.svg)](https://pypi.org/project/colonyai/)\n\n</div>\n\n## Overview\n\nColony is a sidecar process that gives an AI agent durable memory and a model of\nthe people it talks to. It runs alongside the agent's host (a chat gateway, a\ncoding tool, or any harness that can call an HTTP API), assembles relevant\ncontext before each turn, and learns from each turn afterward.\n\nThe agent stays stateless; Colony holds the state. Memories, facts, commitments,\nrelationships, and time all persist across sessions and outlive any single\nconversation.\n\nColony is not an agent and does not generate user-facing replies. It is the\nlayer underneath one.\n\n## What it does\n\n- **Long-term memory.** Stores and recalls memories with semantic search,\n  recency weighting, and content-hash deduplication. Backed by a graph\n  (Neo4j) for entities and relationships and a vector index (LanceDB) for recall.\n- **Temporal awareness.** Tracks an authoritative current time per agent and a\n  timezone per contact, and journals every turn onto a unified timeline so the\n  agent can reason about when things happened and what is overdue.\n- **Contacts and relationships.** Maintains a contact per person with one or more\n  channel handles (WhatsApp, email, SMS, …), a trust tier, and a relationship\n  score derived from interaction recency, frequency, and sentiment.\n- **Theory of mind.** Extracts affect (emotional valence and arousal) and shared\n  facts from conversations, and builds an evolving engagement profile per\n  contact — Big Five traits plus communication style — that it surfaces as\n  concrete guidance on how to engage with that person.\n- **Commitments and goals.** Records what the agent and its owner have agreed to\n  and tracks goals and their progress.\n- **Communication governance.** Keeps a cross-channel record of every exchange\n  and decides whether, how, and when to reach out — with a cooldown to avoid\n  over-messaging and an owner-approval gate for proactive outreach.\n- **Autonomy.** An optional background loop generates proactive initiatives\n  (follow-ups, research, relationship check-ins) on a schedule.\n\n## Architecture\n\n```\n┌──────────────────────────┐     HTTP / WebSocket      ┌─────────────────────────┐\n│  Host harness (the agent) │  ───────────────────────► │  Colony sidecar          │\n│  - assembles a turn       │  ◄─────────────────────── │  127.0.0.1:7777 (FastAPI)│\n│  - calls a host plugin    │     context in / turn out │                          │\n└──────────────────────────┘                            │   ┌──────────────────┐  │\n                                                         │   │ Neo4j   (graph)  │  │\n                                                         │   │ LanceDB (vectors)│  │\n                                                         │   │ SQLite  (records)│  │\n                                                         │   └──────────────────┘  │\n                                                         └─────────────────────────┘\n```\n\nThe sidecar exposes one HTTP API. A thin, host-specific plugin connects the\nagent to it: it requests assembled context before each turn and syncs the turn\nback afterward for extraction. The same stores are readable and writable by any\nconnected host, so memory is shared rather than per-tool.\n\n| Component | Role |\n| --- | --- |\n| Sidecar (`colony_sidecar`) | FastAPI service; the only thing the host talks to |\n| Graph store (Neo4j) | Entities, people, memories, and their relationships |\n| Vector store (LanceDB) | Embeddings for semantic recall |\n| Record stores (SQLite) | Contacts, commitments, goals, affect, facts, engagement, communications |\n| Embeddings | Any OpenAI-compatible embedding endpoint (configurable) |\n| LLM | Any OpenAI-compatible chat endpoint, used for extraction and reasoning |\n\n## Integrations\n\n### Hermes (primary)\n\nThe actively maintained integration. Colony ships three Hermes plugins:\n\n- **Memory provider** — injects assembled context before each turn and syncs the\n  turn back.\n- **Context engine** — manages the conversation window and compression.\n- **General plugin** — exposes Colony tools, lifecycle hooks (contact resolution,\n  time injection, turn journaling, behavioral-signal capture), and an optional\n  autonomy bridge.\n\nHost-side operational tooling lives under `plugins/hermes-plugin/ops/`: a\nself-validating doctor, a resilient gateway-restart runner, a pre-restart\nsummary, and an activity monitor. The setup wizard installs and validates all of\nit. See [`plugins/hermes-plugin/ops/README.md`](plugins/hermes-plugin/ops/README.md).\n\n### Coding tools via MCP\n\nThe sidecar exposes an MCP server so coding tools (Claude Code, Codex, and other\nMCP clients) can read and write the same stores — check commitments, look up\nfacts, search the world model, and record knowledge — over the standard\nprotocol.\n\n### OpenClaw (experimental)\n\nA TypeScript plugin (`src/plugin.ts`) integrates Colony with OpenClaw. It is\ncurrently **experimental**: its test suite mocks the OpenClaw SDK rather than\nexercising it, so integration drift is not caught in CI. Use the Hermes or MCP\npaths for production. See [the OpenClaw status note](docs/HARNESS_INTEGRATION.md).\n\n## Quick start\n\nRequirements: Python 3.11+, Neo4j 5.x reachable over Bolt, and an\nOpenAI-compatible LLM and embedding endpoint.\n\n```bash\npip install colonyai\n\n# Initialize identity, configure the sidecar (state dir, Neo4j, API key, model\n# endpoints), and wire any detected agent harnesses\ncolony init\n\n# Start the sidecar\ncolony start -d             # daemon; omit -d to run in the foreground\n\n# Connect coding tools over MCP (optional)\ncolony mcp setup\n```\n\nVerify it is up:\n\n```bash\ncurl -s -H \"Authorization: Bearer $COLONY_API_KEY\" \\\n  http://127.0.0.1:7777/v1/host/health\n```\n\nA `docker-compose.yml` is provided to run the sidecar and Neo4j together.\n\n## Configuration\n\nConfiguration is read from the state directory (default `~/.colony`) and\nenvironment variables. The common ones:\n\n| Variable | Purpose |\n| --- | --- |\n| `COLONY_STATE_DIR` | Where stores and config live (default `~/.colony`) |\n| `COLONY_API_KEY` | Bearer token required by the sidecar API |\n| `NEO4J_URI` / `NEO4J_USER` / `NEO4J_PASSWORD` | Graph store connection |\n| `COLONY_AGENT_TIMEZONE` | The agent's authoritative timezone |\n| `COLONY_OWNER_CONTACT_ID` | The owner's contact, used by the approval gate |\n\nThe host's LLM and embedding endpoints are pushed to the sidecar at runtime via\n`POST /v1/host/configure` and persisted, so the sidecar uses the same models as\nthe agent.\n\n## Operations\n\n`colony doctor` diagnoses sidecar configuration and runtime health:\n\n```bash\ncolony doctor\ncolony status        # health and pipeline state\n```\n\nThe Hermes integration adds a second doctor (`plugins/hermes-plugin/ops/`) that\nvalidates the host-side plugins, configuration, and scheduled jobs, and re-runs\nwhen the Hermes version changes. Both exit non-zero on failure and are suitable\nfor scheduling.\n\n## Status\n\nThe memory, temporal, contacts, relationship, theory-of-mind, engagement,\ncommitments, goals, and communication-governance subsystems are in active use.\n\nSeveral larger subsystems are present but not yet wired into a default runtime\npath and should be treated as experimental: the multi-agent / distributed\nidentity chain, the research pipeline, and parts of the learning and skills\nmachinery. They are guarded behind feature flags or simply not invoked, so they\ndo not affect the production path.\n\n## Development\n\n```bash\ngit clone https://github.com/Aevonix/ColonyAI.git\ncd ColonyAI/sidecar\npip install -e \".[dev]\"\npython -m pytest\n```\n\nThe Python sidecar lives under `sidecar/`; the host plugins under `plugins/`;\nthe OpenClaw TypeScript plugin under `src/`.\n\n## License\n\nMIT. See [LICENSE](LICENSE).\n","readmeFilename":"README.md"}