alvis 6869e4ea09 kimi-agent: map Open WebUI conversations to persistent kimi sessions
Wrapper previously passed only the last user message to a fresh 'kimi -p'
per request, so both the OpenWebUI thread history and kimi's own session
state were dropped every turn.

Now each conversation is keyed by a content-hash chain over the messages
array (survives LiteLLM in between) and mapped to a persistent kimi session
resumed via 'kimi -r <id>', with the session_id captured from stream-json
meta. Each conversation also gets its own working dir under
/workspace/conversations/<id> so file state is isolated and persists across
turns. Map persisted to /workspace/.kimi-agent/sessions.json (LRU-capped);
falls back to full-transcript reseed if a mapping is missing.
2026-07-04 18:29:12 +00:00
2026-03-05 11:22:34 +00:00
2026-03-05 11:22:34 +00:00
2026-03-17 03:06:18 +00:00
2026-03-05 11:22:34 +00:00

Agap Home Server

Docker Compose configurations for the Agap self-hosted home server infrastructure.

Services

  • Immich (immich-app/) — Photo management and backup (port 2283)
  • Gitea (gitea/) — Self-hosted Git server with web UI (port 3000, SSH 222)
  • Open WebUI (openai/) — AI chat interface with Ollama, GPU-accelerated (port 3125)

Quick Start

Start Immich (main service)

docker compose up -d

Start Gitea (from gitea/ directory)

cd gitea
docker compose up -d

Start Open WebUI (from openai/ directory)

cd openai
docker compose up -d

Configuration

Environment variables are in the root .env file for Immich:

  • UPLOAD_LOCATION — where photo originals are stored
  • THUMB_LOCATION — thumbnail cache directory
  • ENCODED_VIDEO_LOCATION — transcoded video cache
  • DB_DATA_LOCATION — Postgres database directory
  • DB_PASSWORD — Postgres password

Storage

Media is stored on:

  • /mnt/media/upload — Immich originals
  • /mnt/ssd1/media/ — Immich thumbnails, encoded video, and Postgres database
  • /mnt/misc/gitea — Gitea repositories and data

GPU Support

For GPU acceleration (Open WebUI/Ollama, Immich ML):

  1. Install NVIDIA Docker runtime: sudo ./nvidia-docker-install.sh
  2. Install CUDA toolkit: ./install-cuda.sh

Documentation

See CLAUDE.md for detailed developer instructions and Gitea wiki integration guidelines.

See the Gitea wiki for infrastructure documentation (storage, network, services setup).

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