# moorcheh-ai/memanto

Memory that AI Agents Love!

Repository: https://github.com/moorcheh-ai/memanto
Canonical: https://ross.abutalabs.com/products/memanto
Homepage: https://memanto.ai
Language: Python
License: MIT
License Family: permissive
Topics: ai-agents, memory, moorcheh, memanto, agent-memory, crewai, langchain, llm-memory, long-term-memory, rag, semantic-memory, stateful-ai
Last push: 2026-08-26T18:48:22+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 11
- inputs: {"age_days": 163, "days_push": 7, "days_rel": 9, "gap_med": 3, "n_releases_24m": 40}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1841, forks 632 (observed 2026-08-28T04:05:42.970125+00:00)

## What it is
Memanto is a companion 'memory agent' that manages long-term semantic memory for AI agents — deciding what to keep, resolving contradictions, expiring stale facts, and briefing agents at session start. It ships as a Python CLI/server with a REST API, local UI dashboard, and integrations for LangChain, LangGraph, CrewAI, LlamaIndex, n8n, Langfuse, and coding agents like Cursor and Claude Code.

## Use cases
- give my ai agents persistent memory across sessions
- store and recall user preferences and decisions in a langchain agent
- add long-term memory to crewai or langgraph agents
- resolve conflicting facts my agents have learned
- turn langfuse errors into durable agent memories
- self-host a memory layer for coding agents like cursor
- query agent memory semantically instead of injecting static context

## When to choose
- you run multiple agents that need shared, curated long-term memory rather than raw transcript storage
- you want memory with temporal decay, confidence, and provenance tracking
- you need integrations with LangChain, LangGraph, CrewAI, LlamaIndex, or n8n out of the box
- you want local ownership with exportable Markdown and no vendor lock-in

## When to avoid
- you only need simple key-value session state or short-term conversation buffers
- you require a fully offline solution with no external semantic service dependency
- you need a battle-tested system with a long production track record — the project is young (v0.2.x)

## Facets
- artifact type: library
- maturity: active
- function: rag, agent-framework, llm-inference, search-engine, cli, http-server, sdk
- domain: artificial-intelligence, large-language-models, developer-tools, self-hosted
- platform: python, cli, self-hosted, cross-platform
- tags: agent-memory, semantic-memory, long-term-memory, memory-management, llm-memory, crewai, langchain, langgraph, llamaindex, n8n, langfuse, memory-agent, stateful-agents, ai-agents, retrieval-augmented-generation, docker

## Member repositories
- moorcheh-ai/memanto (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:42.970125+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:18:01.324556+00:00, confidence not recorded.
  - readme: https://github.com/moorcheh-ai/memanto (fetched 2026-08-28T04:05:42.970125+00:00, sha ec23af55346d)
  - homepage: https://memanto.ai (fetched 2026-08-29T10:57:30.250255+00:00, sha 099536d88ac2)
  - site_page: https://docs.memanto.ai/integrations/llamaindex (fetched 2026-08-29T10:57:30.270969+00:00, sha a51051a53379)
  - site_page: https://docs.memanto.ai/integrations/n8n (fetched 2026-08-29T10:57:30.272827+00:00, sha 816577293e67)
  - site_page: https://docs.memanto.ai/integrations/langfuse (fetched 2026-08-29T10:57:30.274625+00:00, sha 68d44631ec7c)
  - site_page: https://docs.memanto.ai (fetched 2026-08-29T10:57:30.259853+00:00, sha 658d2e6e2143)
  - site_page: https://docs.memanto.ai/integrations/hermes-agents (fetched 2026-08-29T10:57:30.262119+00:00, sha d4d64c5756f0)
  - site_page: https://docs.memanto.ai/integrations/crewai (fetched 2026-08-29T10:57:30.264346+00:00, sha b74b9d69c4f8)
  - site_page: https://docs.memanto.ai/integrations/langchain (fetched 2026-08-29T10:57:30.266889+00:00, sha bb69a02e80aa)
  - site_page: https://docs.memanto.ai/integrations/langgraph (fetched 2026-08-29T10:57:30.268845+00:00, sha 3c3ee8f762e8)
- Data as of 2026-08-30T08:39:29.467469+00:00.