Memanto offers free memory for AI agents
Memanto is an that helps AI agents remember past work, find the right memory later, and answer from that memory. It works with developer AI agents such as Claude Code, Cursor, Codex, , and others. The fully needs no account or API key and runs on the user’s machine with Docker and Ollama.
A free cloud option is also available, and users can switch between local and cloud by command. The main promise is less repeated explanation of the same codebase or task background. Because relevant memories are pulled only when needed, Memanto aims to reduce wasted tokens and make long-running agent work easier.
Stored memories are searchable immediately, with no separate waiting period for indexing. The project says it does not require a separate , schema, or reranker, and reports 89.8% on and 87.1% on LoCoMo, above Mem0, Zep, and Letta.
Key points
- Memanto lets AI agents store memories, search them, and answer from them.
- It connects to tools including Claude Code, Cursor, Codex, and .
- The runs without an account or API key and keeps data on the user’s machine.
- Its main cost angle is reducing repeated background text and wasted tokens.
- The project reports 89.8% on and 87.1% on LoCoMo.