Hey everyone, Majid here, co-founder and CTO.
Memanto is a memory agent for your AI agents it remembers, recalls, and answers, so Claude Code, Cursor, Codex (and ~14 other agents) stop forgetting your project every time the context resets.
The big change we're launching today: the whole stack now runs 100% locally and free. pip install memanto, one command, and it sets up everything on your machine retrieval engine, embedding models, even a local LLM via Ollama. No API key, no vector DB to manage, nothing leaves your laptop. If you prefer zero-install, there's a free cloud option too, and you can switch between them.
We also built one-command migration, so if you're on Mem0, Zep, or Letta, you can bring your existing memories over and compare side by side.
Memanto is the Memory that AI Agents Love !
Your agent forgets everything. Memanto fixes that.
Persistent memory for Claude Code, Cursor, Codex, and 14 other agents. 100% free, open source, and runs entirely on your machine · no API keys, no vector database, no backend
We built Moorcheh.ai first, the only serverless vector search that delivers this level of recall efficiency at scale. While building it, we kept running into agents that forgot everything between sessions. We asked Claude what causes agent memory to fail, it pointed to passive, static context. Six gaps. We built Memanto.ai around exactly those six problems, and it wouldn't be possible without Moorcheh.ai's serverless vector infrastructure underneath.