identity-storage-mcp
Provides persistent, inspectable memory storage for AI agents using SQLite. Agents can store, recall, and search memories across sessions via three MCP tools.
README
identity-storage
Portable, auditable long-term memory for AI agents. Runs as a local MCP server backed by a single SQLite file. Agents store and recall memories through three abstract tools; you audit the database with plain SQL.
Why
Agents like Claude Code, Codex, and opencode are stateless between sessions.
identity-storage gives them a memory that survives restarts, works across
clients, and stays fully inspectable — no ORM, no migration framework, no
hidden state. Point sqlite3 at the file and read everything.
Install
pip install identity-storage
Or run it directly without installing:
uvx identity-storage-mcp
Configure your client
Claude Code
~/.config/claude/claude_desktop_config.json:
{
"mcpServers": {
"identity-storage": {
"command": "uvx",
"args": ["identity-storage-mcp"]
}
}
}
opencode
opencode.json:
{
"mcp": {
"identity-storage": {
"type": "local",
"command": ["uvx", "identity-storage-mcp"]
}
}
}
Codex / other MCP clients
Point the client at identity-storage-mcp over stdio. The server advertises
three tools via tools/list; any MCP-compatible client picks them up.
Tools
The agent sees three tools, each scoped by memory_type (episodic,
semantic, procedural, personality, emotional):
| Tool | Purpose |
|---|---|
memory_store |
Persist a memory for future sessions |
memory_recall |
Browse by type, tags, and time window (newest first) |
memory_search |
Full-text search via SQLite FTS5 (ranked by relevance) |
See docs/usage.md for the full input/output schemas.
Configuration
| Env var | Default | Purpose |
|---|---|---|
IDENTITY_STORAGE_DB |
~/.identity-storage/memory.db |
SQLite database file path |
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.
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
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