Memory that AI Agents Love!
Memanto is a companion agent dedicated to managing long-term memory for all your AI agents. It curates key insights, consolidates context across sessions, and briefs your agents the moment they start—so context is never lost.
Why Memanto?
Universal Agent Support
Works automatically out-of-the-box with Claude Code, Cursor, Codex, and 20+ other agents.
No Lock-In
Fully convertible between a fast semantic backend and human-readable Markdown (.md files in an LLM Wiki format). Inspect, export, or migrate your memory estate anytime with memanto migrate.
Complete Ownership
You retain total control over everything your agents learn.
Collecting memanto... Successfully installed memanto-0.2.0
> Agent namespace [dev-agent] created. [OK] Memory nodes are listening.
remember · recall · answer
Up and running in one command
One pip install, pick a backend, connect your agent. Copy the commands or watch the walkthrough video.
# 1. Install the CLI
$ pip install memanto
# 2. One-time setup — pick 2 for On-Prem
$ memanto
Choose your backend
1 Moorcheh Cloud (instant, needs API key)
> 2 Moorcheh On-Prem (Docker, no API key)
✓ Setup complete — server on http://localhost:8080
# 3. Plug it into your agent
$ memanto connect claude-code
# 4. That's it — your agent now remembers
$ memanto remember "We deploy with Docker on port 8080"
$ memanto recall "how do we deploy?"
Less context babysitting. Fewer wasted tokens.
Not features for a spec sheet, hours and tokens you stop losing every week.
Six gaps in. Six principles out.
We built Moorcheh.ai first — serverless vector search at scale. Building on it, agents still forgot everything between sessions. So we asked Claude what breaks agent memory. It named six gaps. MEMANTO answers every one.
My memory exists as a static snapshot injected into context, useful, but fundamentally passive. I can't query it, update it mid-conversation, or distinguish ‘I know this’ from ‘I was told this once.’
Memory dumped as one blob
Relevant results only
Pulls only what the task needs, never the whole library.
Stale notes weigh as much as new
Freshness first
New facts always outrank older, outdated ones.
No idea where a memory came from
Verifiable sources
Every memory knows if you said it or it was inferred from somewhere.
Everything in one flat pile
Smartly categorized
Sorted into 13 clear types, not one layer.
Conflicting facts live on forever
Resolves contradictions
Conflicts are caught and reconciled the moment they appear.
Slow, heavy indexing before recall
Instant ingestion
Usable the second it’s written - recall in under 90ms.
Interactive Dashboard
One local dashboard to run your entire memory agent — no cloud, no setup.
- Agents & memories
- Conflicts & connections
- Your on-prem backend
- Migrate from Mem0, Letta & more
Try the live demo →
Powerful CLI Built-in
Manage agents, store memories, and run RAG directly from your terminal.
Works with your entire AI stack
Connect your favorite AI assistant, or build a MEMANTO-powered agent with your favorite framework.
$memantoconnectclaude-codeMemanto vs the field
Most memory layers stop at remember + recall. Memanto adds answer, LLM-grounded responses directly from your agent's memory, with no extra API keys.
| Feature | Mem0 | Zep | Letta | LangMem | MemantoBest |
|---|---|---|---|---|---|
| RememberStore agent memories | |||||
| RecallSemantic search & retrieval | |||||
| AnswerMemanto onlyLLM-grounded response from memory | |||||
| Instant IngestionMemories available instantly after write | |||||
| Conflict ResolutionAutomated contradiction detection | |||||
| Semantic Memory Types13 built-in memory categories | |||||
| Multi-Agent NamespacesIsolated memory per agent | |||||
| No External API KeyBuilt-in LLM proxy, no setup |
SOTA on Agentic Memory Benchmarks
Memanto leads across LoCoMo and LongMemEval, the two most rigorous long-context memory benchmarks for AI agents.
Read about Memanto architecture, benchmark methodology, and results.
See MEMANTO in action
Walkthroughs, deep dives, and demos showing how MEMANTO gives your agents memory.
Free. Actually free.
Run MEMANTO on-prem for $0— open source, no API key, no usage caps. Prefer a managed backend? Moorcheh Cloud's free tier covers ~100,000 operations, no card required.
MEMANTO On-Prem
- No API key, ever
- Unlimited memories, unlimited agents
- Runs entirely on your machine (Docker)
- Local embeddings & LLM via Ollama — or bring OpenAI / Cohere
- remember · recall · answer, with built-in RAG
- Web dashboard & full CLI included
- Works with Claude Code, Cursor, Codex + 14 more
- MIT licensed, open source
Want a managed backend instead?
Moorcheh Cloud is free to start: 500 credits ≈ 100,000 operations, no card required. Here's what that looks like in practice.
Billed per operation, not per token — and you can grab a free API key in under a minute.