identity-storage

Portable, auditable long-term memory for AI agents. Runs as a local MCP server backed by a single SQLite file. Agents recall memories through MCP tools; a Stop hook stores session transcripts automatically — no agent discipline required.

Why

Agents like Claude Code are stateless between sessions. identity-storage gives them a memory that survives restarts and stays fully inspectable — no ORM, no migration framework, no hidden state. Point sqlite3 at the file and read everything.

Related MCP server: Central Intelligence

Install

The package is not on PyPI yet. Install directly from GitHub:

pip install git+https://github.com/MikSkrzyp/identity-storage-mcp.git

Or run it without installing:

uvx --from git+https://github.com/MikSkrzyp/identity-storage-mcp.git identity-storage-mcp

This installs one console script:

• identity-storage-mcp — the MCP server (agent calls tools through it)

Configure Claude Code

1. Add the MCP server

claude mcp add identity-storage -s user -- uvx --from git+https://github.com/MikSkrzyp/identity-storage-mcp identity-storage-mcp

2. Add memory instructions to CLAUDE.md

Add this to ~/.claude/CLAUDE.md (global, all projects) or your project's CLAUDE.md:

# Memory — MANDATORY

identity-storage MCP is connected. Follow these rules EVERY session:

1. SEARCH: Call memory_search when the user references past work or you need
   context from previous sessions. Pass the user's prompt as query.

2. STORE: Call memory_store after every non-trivial turn:
   - episodic: events/actions (fixed bug, refactored module, user asked for X)
   - semantic: durable facts (user preferences, project info, tech stack)
   - procedural: how-tos (commands, steps, procedures)
   One memory per distinct thing. Skip idle chat.

3. SESSION END: When the user says exit/quit, store anything not yet saved.

Forgetting to store = permanent loss of the session.
Forgetting to search = working blind.

Configure opencode

1. Add the MCP server

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

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "identity-storage": {
      "type": "local",
      "command": [
        "uvx",
        "--from",
        "git+https://github.com/MikSkrzyp/identity-storage-mcp",
        "identity-storage-mcp"
      ]
    }
  }
}

2. Add memory instructions to AGENTS.md

Add the same memory instructions (from the Claude Code section above) to ~/.config/opencode/AGENTS.md (global) or your project's AGENTS.md.

Tools

The agent sees three tools, each scoped by memory_type (episodic, semantic, procedural, personality, emotional):

See docs/usage.md for the full input/output schemas.

Configuration

The parent directory is created on first run. The schema is applied idempotently on every start, so pointing at a fresh path is safe.

Audit

The database is a regular SQLite file. Read it while the server runs (WAL mode allows concurrent reads):

sqlite3 ~/.identity-storage/memory.db

SELECT id, created_at, content FROM memory
WHERE type='episodic'
ORDER BY created_at DESC;

SELECT * FROM memory
WHERE EXISTS (SELECT 1 FROM json_each(tags) WHERE value='auth');

SELECT m.*
FROM memory m
JOIN memory_fts f ON f.rowid = m.rowid
WHERE f.content MATCH 'auth bug'
ORDER BY rank;

The schema lives in schemas/schema.sql and is the single source of truth. Run .schema in the sqlite3 CLI to see exactly what is in the file.

Other clients

Claude Code and opencode are supported. Both use the same MCP server and the same memory database. For other MCP-compatible clients (Codex, Cursor, etc.), add the MCP server per their docs and add the memory instructions to their equivalent of CLAUDE.md (e.g. .cursorrules for Cursor).

Documentation

• docs/architecture.md — layers, design decisions, how to add a memory type or a backend

• docs/api.md — full API reference

• docs/usage.md — install snippets, tool schemas, auditing

• docs/development.md — dev setup, commands, conventions

Status

Alpha. The MCP contract and the SQLite schema are stable for the episodic case. Semantic memory, procedural memory, consolidation, and embeddings are planned — see docs/architecture.md for the roadmap shape.

License

MIT