Your agents focus.
Memanto remembers.
A memory agent that runs beside your coding agents: it keeps what matters, resolves what conflicts, retires what expires, and briefs every agent the moment it starts.
Interactive Dashboard
One local dashboard to run your entire memory agent
Powerful CLI Built-in
Manage agents, store memories, and run RAG directly from your terminal.
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New facts always outrank older, outdated ones.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. (*Latency metrics are based on internal benchmarks in US-East. They exclude network transit. Read the research paper)
Your agents focus. Let Memanto remember.
The dashboard and the CLI ship in one package. Install it, open the UI, and watch your agents' memory take shape.
pip install memanto
memanto ui # opens the dashboard