Resolves the 4 P4 blockers and wires cognee/cognee-mcp into the openai
compose stack:
- qdrant: container was gone (data intact under /mnt/ssd/dbs/qdrant);
brought back up, confirmed healthy on :6333.
- Embeddings: switched from a dead LiteLLM route to ollama directly
(host.docker.internal:11436, nomic-embed-text, 768-dim), using cognee's
dedicated OllamaEmbeddingEngine and its native /api/embed endpoint.
Requires extra_hosts: host.docker.internal:host-gateway since ollama
lives in a separate compose project.
- cognee-llm kimi auth: root cause was that cognee-llm had never been
started, so its kimi-agent-home-equivalent volume didn't exist yet.
Seeded cognee-llm-home from the already-authed kimi-agent-home volume
(read-only copy of config/credentials/oauth/device_id); cognee-llm now
serves real completions.
- mkdir'd cognee data/system dirs: confirmed present (done by user).
Also fixed three issues found only during a live end-to-end smoke test:
- VECTOR_DB_PROVIDER must be a real container env var, not just present in
the mounted cognee.env — the qdrant adapter's sitecustomize.py
registration hook reads os.environ directly, which pydantic-settings'
env_file parsing never populates.
- Baked the Kuzu/Ladybug JSON extension into the cognee image. This
deployment's egress to extension.ladybugdb.com is bandwidth-throttled to
~1.2 KB/s, so cognee's own runtime auto-download reliably timed out,
leaving /health permanently unhealthy and graph queries failing. Fetched
the ~827KB extension out-of-band (16-way parallel ranged GETs) and added
it to the image via COPY.
- LLM_ENDPOINT needed an explicit /v1 suffix (litellm appends
"/chat/completions" verbatim) and LLM_INSTRUCTOR_MODE=json_mode is
required since cognee-llm's Kimi wrapper is a text-only pass-through with
no real tool-calling support.
Verified with a full remember -> recall round trip through cognee-mcp's
MCP tool surface: stored a fact containing a codeword, recalled it via
GRAPH_COMPLETION search, got the exact codeword back. Exercises cognee-llm,
ollama embeddings, Qdrant, and Kuzu together.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
Model backend for the Adolf gateway. OpenAI-compatible (model 'adolf'), real
SSE streaming, chat_id session-keying (parsed from OpenClaw's untrusted-metadata
block per SPIKE gate 2) -> 1:1 kimi -r resume, media persistence for the CLI's
ReadMediaFile, per-session project-root .mcp.json (gate 1; no --mcp-config-file).
Cognee auto-memory hooks and shared-MCP server list are non-blocking stubs with
TODO(P4/P5) markers. New service + workspace/home volumes in compose.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
Stateless one-shot wrapper for Cognee batch cognify: fresh temp dir per
request, no resume, non-streaming, text-only, bounded concurrency (3).
Per SPIKE-FINDINGS gate 5, Cognee should default its LLM to LiteLLM; this is
the optional low-volume path. New service + cognee-llm-home volume in compose.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
New 'adolf' service builds ../../adolf (the OpenClaw fork), runs the gateway
(node dist/index.js gateway --bind lan --port 18789) with persistent
adolf-state volume. Skeleton only; Matrix/SOUL.md/model-provider config wired
in P6. Existing services untouched.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
Runs the kimi-code coding agent in its own container, exposed as an
OpenAI-compatible model ("kimi-agent") that LiteLLM/Open WebUI can call
directly. Backed by the user's own Kimi/Moonshot subscription via
`kimi login`, not the pay-per-token API. Mount is scoped to a dedicated
~/kimi-workspace directory rather than the full home dir.
Move services out of the monolithic openai/docker-compose.yml:
- ollama/ — ollama GPU + CPU inference servers
- openwebui/ — open-webui chat UI (uses env var for ANTHROPIC_API_KEY)
- searxng/ — SearXNG container + searxng-mcp MCP server (port 3102)
openai/ now contains only: litellm, langfuse, qdrant, faster-whisper,
silero-tts, pipecat.
searxng-mcp exposes a single searxng_search tool via MCP HTTP on :3102.
Registered in ~/.claude.json as the "searxng" MCP server.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- LiteLLM proxy with langfuse callbacks, postgres backends, and OpenRouter fallbacks.
- Langfuse observability UI.
- Pipecat voice pipeline (LiveKit + STT + TTS + LLM) and Silero TTS build contexts.
- Ollama tuned for GPU (OLLAMA_NUM_GPU=999, mem_limit=4g, max 2 loaded models).
- open-webui wired to litellm + faster-whisper + silero for voice.
- litellm-config.yaml publishes oO's model aliases (tip-generator, embedder, judge)
pointing at the host ollama on :11434 so ml/serving can call them via LiteLLM.
.env skipped (secrets).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Add CLAUDE.md with Gitea integration, development guidelines, and wiki interaction instructions
- Add comprehensive README.md with service overview, quick start, and configuration details
- Add service directories: gitea/, openai/, immich-app/, and setup scripts (install-cuda.sh, nvidia-docker-install.sh)
- Update docker-compose.yml structure and immich configuration
- Include restore example script for Immich database backups
This repository now serves as the source of truth for Docker Compose configurations and deployment automation for Agap home server services (Immich, Gitea, Open WebUI).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
