🧠 opencode-personal-knowledge

A personal knowledge MCP server with vector database for the Opencode ecosystem

Store and retrieve knowledge using semantic search, powered by local embeddings. No external API keys required.

✨ Features

🔍 Semantic Search — Find knowledge using vector embeddings (BGE-small-en-v1.5)
📝 Text Search — Keyword-based search fallback
🏷️ Tag Organization — Categorize entries with tags
🔌 Plug-and-Play — No external services required (embeddings run 100% locally)
💾 Persistent Storage — Data stored in ~/.local/share/opencode-personal-knowledge/
🔄 Automatic Indexing — Entries are vectorized on creation

🚀 Quick Start

Opencode Integration (Recommended)

Add to ~/.config/opencode/opencode.jsonc:

{
  "mcp": {
    "personal-knowledge": {
      "type": "local",
      "command": ["bunx", "opencode-personal-knowledge"],
      "enabled": true
    }
  }
}

Restart Opencode — the MCP tools will be available immediately.

Source Installation (Development)

git clone https://github.com/NocturnLabs/opencode-personal-knowledge.git
cd opencode-personal-knowledge
bun install
bun run mcp  # Start MCP server

🛠️ MCP Tools

Knowledge Tools

Tool	Description
`store_knowledge`	Store a new knowledge entry with optional tags
`search_knowledge`	Semantic similarity search
`search_knowledge_text`	Keyword-based text search
`get_knowledge`	Retrieve entry by ID
`update_knowledge`	Update an existing entry
`delete_knowledge`	Delete an entry
`list_knowledge`	List entries with filters
`get_knowledge_stats`	Database statistics

Session Memory Tools

Log and search across entire OpenCode sessions.

Tool	Description
`start_logging_session`	Begin logging a session
`log_message`	Log a user/agent message to the session
`search_session`	Semantic search within a session
`search_all_sessions`	Search across ALL logged sessions
`list_sessions`	List all sessions
`get_session`	Get session details and messages
`end_session`	End session with optional summary

📖 Example Usage

Storing Knowledge

User: "store a knowledge entry about Opencode Features"

Agent: Researches and stores entry:

✅ Stored knowledge entry #2: "Opencode Features"
📊 Indexed for semantic search

Searching Knowledge

User: "@search_knowledge for opencode"

Agent: Returns semantic matches:

Found 1 similar entry:

### 1. Opencode Features (85% similar)
Opencode is an open source AI coding agent...

Session Memory

User: "Start logging this session, call it 'auth debugging'"

Agent: Starts session and logs all exchanges:

✅ Started session #1: "auth debugging"

User: "Search this session for JWT"

Agent: Returns semantic matches from the session:

Found 2 matches in session #1:

### 1. [user] (92% match)
The JWT token expires too fast...

### 2. [agent] (88% match)
The TTL is set to 60 instead of 3600...

⚙️ Configuration

Data Location

By default, data is stored in:

~/.local/share/opencode-personal-knowledge/
├── knowledge.db      # SQLite database
└── vectors/          # LanceDB vector store

Override with environment variable:

export OPENCODE_PK_DATA_DIR=/custom/path

Embedding Model

Uses BGE-small-en-v1.5 via FastEmbed (auto-downloads on first use).

🏗️ Technology Stack

Runtime: Bun / Node.js
Vector DB: LanceDB (embedded)
Embeddings: FastEmbed (ONNX Runtime)
MCP SDK: @modelcontextprotocol/sdk
Database: SQLite (via Bun)

📄 License

Made with 🖤 for the Opencode ecosystem

opencode-personal-knowledge