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No accounts, no telemetry, no cloud.\n- **MCP integration** — Let your AI assistants query your past conversations for context via the Model Context Protocol.\n- **SQLite FTS5** — Fast full-text search powered by SQLite.\n\n## Supported Sources\n\n| Source | Where data is read from |\n|--------|------------------------|\n| Cursor IDE | `~/Library/Application Support/Cursor/User/workspaceStorage/*/state.vscdb` (macOS) |\n| Copilot (VS Code) | `~/Library/Application Support/Code/User/workspaceStorage/*/chatSessions/*.json` (macOS) |\n| Cursor CLI | `~/.cursor/globalStorage/global-state.vscdb`, `~/.cursor/chats/` |\n| Claude Code | `~/.claude/projects/*/*.jsonl` |\n| Codex CLI | `~/.codex/sessions/` (JSONL/JSON) |\n| Gemini CLI | `~/.gemini/tmp/\u003cproject_hash\u003e/chats/` |\n\n## Install\n\nDownload the latest `.dmg` file from the [Releases](https://github.com/dishangyijiao/assistmem/releases) page, open it and drag AssistMem to your Applications folder.\n\n## MCP Integration\n\nAssistMem provides an MCP (Model Context Protocol) server, allowing AI assistants to query your local chat history for context. This closes the loop — your AI assistants can recall what you've discussed in other tools.\n\n**Claude Code** and **Codex** can install the MCP server directly:\n\nFor other MCP-compatible clients (e.g. Cursor), add to your MCP settings:\n\n```json\n{\n  \"mcpServers\": {\n    \"assistmem\": {\n      \"command\": \"npx\",\n      \"args\": [\"assistmem\", \"mcp\", \"--client\", \"\u003cclient-name\u003e\"]\n    }\n  }\n}\n```\n\n## Database\n\n- **Path:** `~/.assistmem.db` (macOS/Linux) or `%LOCALAPPDATA%\\assistmem\\assistmem.db` (Windows). Override with `ASSISTMEM_DB_PATH`.\n- **Schema:** `sessions` and `messages` tables with FTS5 full-text index on message content.\n\n## License\n\nMIT — see [LICENSE](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdishangyijiao-labs%2Fassistant-memory","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdishangyijiao-labs%2Fassistant-memory","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdishangyijiao-labs%2Fassistant-memory/lists"}