memanto
Memory that AI Agents Love!
Documentation
Memory that AI Agents Love!
Memanto is a Memory Agent; a companion agent that manages the memories of your other agents:
what to keep, what conflicts, what expires, and who needs to know.
pip install memanto> Every platform will store your agents' memory. None of them will manage it. Managing it across platforms is against their interest. That is the job of a Memory Agent.
Persistence is solved. Claude, Bedrock, Cursor, and every vector store will happily keep what your agents write. None of them will tell you that two of your agents now believe opposite things about your auth service, that a preference from March has quietly outranked a decision from last week, or that the agent you spun up this morning is about to redo work another one finished and reverted.
Storage is a filing cabinet. Memanto is the chief of staff; it decides what goes in, watches the access, resolves what contradicts, discards what's stale, and briefs each agent before it acts.
It's an agent, not an API
Memanto isn't a library you call. It's a second agent that runs beside your fleet and does six things on its own judgment. Each one is a real behavior with a command behind it, nothing here is a roadmap item.
| What Memanto does | Run it | |
|---|---|---|
| Observes & extracts | Watches the interaction streams of the agents it serves and pulls durable knowledge out of ephemeral traffic — decisions, preferences, facts, failures — instead of archiving transcripts wholesale. | `memanto remember --from-conversation` |
| Consolidates | Merges extracted memories into one canonical estate. Duplicates collapse, fragments join, repeated observations strengthen confidence instead of multiplying rows. | `memanto schedule enable` |
| Reconciles | When new knowledge contradicts old, Memanto supersedes rather than appends — preserving what was believed and when. "What's true now" and "what did we believe then" stay different questions. | `memanto conflicts` |
| Forgets | Decay, expiry, and deliberate deletion are policies it executes, not cleanup you remember to do. An estate that only grows becomes noise; managed forgetting is what keeps recall sharp at month twelve. | `memanto forget` |
| Briefs | Before an agent acts, Memanto hands it the minimal relevant slice of the estate. Your agents don't query anything — they get briefed by a colleague. | `memanto agent bootstrap` |
| Moves knowledge | Through the Open Knowledge Format, the estate crosses frameworks and vendors — so a fleet spanning Claude Code, Cursor, and your own stack shares one memory instead of five silos. | `memanto memory export --okf` |
And it does this while you're asleep. `memanto schedule enable` and the loop runs daily: new memories curated, duplicates merged across agents, contradictions flagged for your review. You come back to a fleet that knows more than it did yesterday, without having sorted anything yourself.
60 seconds to a managed fleet
pip install memanto
memanto # "On-Prem" (Docker, no account) or "Cloud" (free key)
memanto connect claude-code # also: cursor, codex, windsurf, cline, goose, copilot…Your agents now share one managed estate. No code changes, no wrapper, no rewrite of your agent loop.
# backend-agent learns something on Monday
memanto remember "Auth migrated to JWT — session cookies deprecated" --type decision
# review-agent, which never saw that session, knows it on Friday
memanto recall "how does auth work"
memanto answer "why did we drop session cookies?" # grounded, no extra API key
# what did the fleet believe last Tuesday? what changed since the release?
memanto recall "deployment policy" --as-of 2026-08-05
memanto recall "deployment policy" --changed-since v2.1macOS, Linux, Windows. `memanto ui` opens a local dashboard over the whole estate — browse it, search it, audit it.
Own your agentic memory
This is the part that matters in two years, and it's the part every platform-native memory feature is designed to prevent.
Your estate is a file. `memanto memory export --okf` gives you the Open Knowledge Format — plain Markdown, readable, diffable, committable, greppable. Not a proprietary dump you can technically request. The actual working format.
It moves. `memanto migrate` imports from Mem0, Letta, Supermemory, or any OKF bundle. The same command works in reverse. OKF is an open interchange format any framework or vendor can implement — including ours' competitors, deliberately.
It runs on your machine. Local Docker + Ollama, no account, no API key, nothing leaves your infrastructure. Or free cloud, or your own hosting. `memanto config backend` switches between them in one command, and the estate comes with you.
MIT. No open-core tier waiting to gate the useful half. No feature flags, no seat limits, no rug pull.
There is no lock-in because there is nothing to lock.
Security & sovereignty
Nothing leaves your machine in on-prem mode. Docker + Ollama, no account, no outbound calls. The full loop — extraction, consolidation, reconciliation, briefing — runs locally.
Scoped by default. Each agent gets its own namespace. Your production-ops agent doesn't read your scratch experiments; you provision exactly what each one should know and nothing more.
Every belief is traceable. Confidence score, source, provenance, and timestamp. When an agent acts on something, you can walk back to where that belief entered the fleet and when — which is the difference between an auditable estate and a black box.
Forgetting is a decision you make, not a side effect. A memory is `active` or `expired` — nothing else. It becomes expired only because a policy you wrote says so, and it carries the date and the rule name that did it. Expired memories still recall, clearly labelled, and `memanto memory restore` puts one back. Deleting is a separate, explicit act.
Memory that expires on your terms
Every memory is active until a policy retires it. Expiry is stamped, auditable, and reversible — the content survives, and the memory keeps showing up in recall marked `[EXPIRED]` with the reason it aged out.
memanto policy list-preset # conservative / balanced / aggressive
memanto policy apply-preset balanced # shows it in full, then asks
memanto policy apply --dry-run # exactly what would expire, per rule
memanto policy apply # shows the policy + matches, then confirmsPolicies live in `~/.memanto/policies/
Questions: support@moorcheh.ai · @moorcheh_ai
MIT License
· · ·
Frequently asked questions
What is memanto?
memanto is Memory that AI Agents Love!
How do I install memanto?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is memanto open source?
Yes — it is hosted on GitHub at https://github.com/moorcheh-ai/memanto and has 1,858 stars.
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