Memanto

Memanto is an open-source memory layer for AI agents. It gives coding assistants like Claude Code, Cursor, and Codex persistent recall across sessions, with sub-100 ms search, semantic categorisation, and full on-premise operation.

freemium

ai memoryagent memoryopen sourceclaude codecursorcoding assistantsemantic searchon-premise

IndexedJuly 26, 2026

UpdatedJuly 29, 2026

4.1 (0 Number of reviews)

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What Memanto Does

Memanto is an open-source memory management system that gives AI agents a durable, long-term recall layer. Rather than reloading the same project context every session, agents can Remember new insights, Recall past ones by semantic search, and Answer questions grounded in the memory store.

Integration Surface

20+ AI assistants supported, including Claude Code, Cursor, and Codex.
13 semantic memory types rather than a single flat store, so decisions, conventions, and facts are indexed separately.

Speed and Cost Profile

New memories are searchable within about 90 milliseconds of being written. Writing memories does not invoke an LLM, so ingestion costs no tokens, a meaningful difference from memory layers that summarise on write. Contradictory entries are reconciled automatically instead of piling up as noise.

Deployment and Data Control

Memanto runs entirely on-premise with no external API keys required, which fits teams that must keep source code and prompts inside their own network. A managed cloud option, Moorcheh Cloud, is available for teams that would rather not self-host, starting with a free credit pool.

Who It Fits

Agent developers, software teams standardising on coding assistants, and organisations with data-sovereignty requirements are the core audience. If your agents keep re-explaining the same project rules, Memanto is the layer that stops that waste.

Pros & Cons

Pros

Open source with unlimited on-premise use, no per-seat or per-token fees
Writes cost zero tokens, unlike LLM-summarise-on-write approaches
Fast: memories are searchable within about 90 ms
Works with 20+ agents including Claude Code, Cursor, and Codex
Semantic categorisation into 13 types keeps recall precise

Cons

Self-hosting requires DevOps setup, not a click-and-go SaaS
Cloud version bills per operation, which needs volume estimation
Value depends on your agent stack already supporting a memory tool

Frequently Asked Questions

Which AI assistants does Memanto work with?

More than 20, including Claude Code, Cursor, and Codex. It is designed to slot into existing agent workflows rather than replace them.

Do I have to send data to a third party?

No. The core system runs on-premise with no external API keys. A managed cloud option is available for teams that prefer it.

How fast is recall?

Newly written memories are searchable within about 90 milliseconds.

What does it cost?

On-premise use is free under the open-source license. Cloud usage starts with 500 free credits and moves to pay-per-operation billing.

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