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One SQLite file on your own machine — no cloud, no account.","maintainers":[{"name":"damiantodorovic","email":"damian2212todi@gmail.com"}],"readme":"# kepta-mcp\n\n**Local memory for AI agents, over MCP.** One SQLite file on your own machine — no cloud, no account, no subscription. The store is never synced anywhere; what an agent then puts into a prompt travels wherever that agent's model runs.\n\nYour assistant forgets you after every chat. KEPTA remembers: Claude Desktop, Cursor and any other client that speaks the Model Context Protocol read and write the same memory, and it never leaves your computer.\n\n## Use it\n\nAdd this to your MCP client's configuration. Nothing to clone, nothing to build:\n\n```json\n{\n  \"mcpServers\": {\n    \"kepta\": { \"command\": \"npx\", \"args\": [\"-y\", \"kepta-mcp\"] }\n  }\n}\n```\n\nFor Claude Desktop that file is `~/Library/Application Support/Claude/claude_desktop_config.json` on macOS. In Cursor: *Settings → Features → MCP*. Restart the client afterwards.\n\nThat is the whole setup. The memory lives in `~/.kepta/kepta.db` and is created on first use.\n\n```text\n  your agents                     your apps\n┌──────────────┐    MCP    ┌────────────────────┐\n│ Claude       ├──────────►│  kepta-mcp         │\n│ Cursor       │           │  8 tools           │\n│ Gemini CLI   │   HTTP    │  local server      │\n│ your scripts ├──────────►│  hybrid retrieval  │\n└──────────────┘           └─────────┬──────────┘\n                                     │\n                     one encrypted file, your machine\n                     ~/.kepta/kepta.db\n                     SQLCipher 4 · AES-256 · no cloud\n```\n\n## The eight tools your agent gets\n\n| Tool | What it does |\n|---|---|\n| `memory_search` | Hybrid retrieval: full text, vectors and knowledge graph, fused by Reciprocal Rank Fusion |\n| `memory_save` | Store a fact, with type, scope, validity window and confidence |\n| `memory_update` | Change an existing memory |\n| `memory_delete` | Move to the trash |\n| `memory_list` | Filter by type, scope or tags |\n| `memory_graph` | Entities and the relations between them |\n| `memory_consolidate` | Find near-duplicates and merge them by superseding, never deleting |\n| `memory_forget` | Let a memory expire, or mark it replaced by a newer one |\n\nProtocol `2026-07-28`, backwards compatible with `2025-06-18` and `2024-11-05`. Every tool ships an `outputSchema` and returns `structuredContent`.\n\n## Why memories age\n\nEach entry carries a validity window and a confidence score. Move house, and the new address supersedes the old one: the old is downweighted to 40 % and kept as history rather than deleted. Expired facts drop to 50 %. Your agent stops answering with things that stopped being true.\n\n## Docker\n\n```bash\ndocker build -t kepta-mcp .\ndocker run --rm -i -v kepta-data:/data kepta-mcp\n```\n\nThe server speaks stdio, so `-i` is required. The database lives in the `kepta-data` volume and survives restarts. A container has no keychain, so the database stays unencrypted unless you pass a key: `-e KEPTA_DB_KEY=$(openssl rand -hex 32)` — keep that value, it is the only way back into the volume.\n\n## Requirements\n\n**Node 22.13 or newer.** The package has one dependency: SQLite with encryption (`better-sqlite3-multiple-ciphers`), which npm installs prebuilt for Node 22, 24 and 26 on macOS, Windows and Linux — elsewhere it needs a C++ toolchain to build.\n\nThe knowledge base is encrypted on disk (SQLCipher 4 format, AES-256). The key is created on the first start and kept in the system keychain — macOS Keychain, Windows DPAPI or the Linux Secret Service (`secret-tool`); the local server uses the same one. Without a keychain, set `KEPTA_DB_KEY` to 64 hexadecimal characters. Keep a copy of the key: without it a restored database cannot be opened. [SECURITY.md](https://github.com/DamianTodorovic/kepta/blob/main/SECURITY.md#encryption-at-rest) shows how.\n\nSearch works immediately. Install [Ollama](https://ollama.com) and `ollama pull nomic-embed-text` if you also want it to find notes that say the same thing in different words.\n\n## The Python client and the HTTP API\n\nThis package is the MCP server on its own — enough for an agent, with no window.\n\n**KEPTA is one local, encrypted memory for every AI — €0, forever, no account, no limits.** This package is the headless door for agents (MCP); the [open core](https://github.com/DamianTodorovic/kepta) adds the HTTP API, the Python client and the CLI on the same encrypted file. Teams and organizations that want shared team memory, central policies and MDM get **KEPTA Enterprise by request**: [write to me on LinkedIn](https://www.linkedin.com/in/damian-todorovic-244235434).\n\nFor Python there is `pip install kepta`.\n\nThe package is called `kepta-mcp` because npm refuses the bare name `kepta` as too close to an existing package. The command it installs is `kepta`.\n\nBoth share the same `~/.kepta/kepta.db`. What one writes, the others see.\n\n## License\n\n[BUSL 1.1](https://github.com/DamianTodorovic/kepta/blob/main/LICENSE) — the same license as the source at [github.com/DamianTodorovic/kepta](https://github.com/DamianTodorovic/kepta). Using the server for your own agents, on your own hardware, is free and needs nothing from you. Offering this server (or a modified version) to third parties as a hosted or managed service requires a separate commercial license — and each version converts to AGPL-3.0-or-later four years after its release. A commercial license is available: [write to me on LinkedIn](https://www.linkedin.com/in/damian-todorovic-244235434).\n","readmeFilename":"README.md"}