moorcheh-ai

memanto

Companion memory agent for 20+ coding agents, built on Moorcheh — its own information-theoretic engine, no third-party vector DB to manage. Runs local (Docker + Ollama, keyless) or on their cloud.

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Curator's take

The no-third-party-infrastructure entry in the agent-memory category: retrieval runs on Moorcheh, the team's own information-theoretic engine, so there is no separate vector DB, embedding pipeline or reranker to manage — one CLI wires up 20+ agent integrations. Two deployments: fully local (Docker + Ollama, keyless, nothing leaves the machine) or their managed cloud (free tier, Moorcheh API key), which is also how shared team memory scales. The novel engine is the differentiator AND the risk: benchmark recall on YOUR corpus before trusting it over boring embeddings, and betting on Moorcheh is betting on one vendor's engine — memanto.ai signals the company behind it.

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README.md1 min read

Memory that AI Agents Love!

Memanto is a companion Memory Agent; an agent whose whole job is managing your other agents' memories. It curates what's worth keeping, consolidates it across sessions, and briefs your agents the moment they start, while you keep ownership of everything they learn.

Works automatically with Claude Code, Cursor, Codex, and 20+ other agents. Fully convertible between semantic backend and Open Knowledge Format (*.md files in llm wiki style), so your memory estate is yours to inspect, export, and migrate anywhere — memanto migrate and it moves with you.

What Is MEMANTO?

MEMANTO is a memory agent. It remembers, recalls, and answers — so your agents can achieve long-term goals and avoid confusion.

Most memory tools today are passive infrastructure: agents have to query them, parse the results, and figure out what to do next. MEMANTO is built differently. It's an active memory agent designed from the gaps agents themselves named when asked about their memory — three operations (remember, recall, answer) that give your agents persistent context across sessions, with state-of-the-art retrieval and zero ingestion latency.

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