moorcheh-ai/memanto
Memory that AI Agents Love! observed · 2026-08-28
Health v2 · maintenance only
81/100
- Activity 99
- Release rhythm 99
- Longevity 11
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 3
- age_days: 163
- days_rel: 9
- days_push: 7
- n_releases_24m: 40
Adoption not part of the score
1841 stars · 632 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity active
rag agent-framework llm-inference search-engine cli http-server sdk artificial-intelligence large-language-models developer-tools self-hosted python cli self-hosted cross-platform 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
10 sources
- readme: https://github.com/moorcheh-ai/memanto · fetched 2026-08-28 · ec23af55346d
- homepage: https://memanto.ai · fetched 2026-08-29 · 099536d88ac2
- site_page: https://docs.memanto.ai/integrations/llamaindex · fetched 2026-08-29 · a51051a53379
- site_page: https://docs.memanto.ai/integrations/n8n · fetched 2026-08-29 · 816577293e67
- site_page: https://docs.memanto.ai/integrations/langfuse · fetched 2026-08-29 · 68d44631ec7c
- site_page: https://docs.memanto.ai · fetched 2026-08-29 · 658d2e6e2143
- site_page: https://docs.memanto.ai/integrations/hermes-agents · fetched 2026-08-29 · d4d64c5756f0
- site_page: https://docs.memanto.ai/integrations/crewai · fetched 2026-08-29 · b74b9d69c4f8
- site_page: https://docs.memanto.ai/integrations/langchain · fetched 2026-08-29 · bb69a02e80aa
- site_page: https://docs.memanto.ai/integrations/langgraph · fetched 2026-08-29 · 3c3ee8f762e8
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| moorcheh-ai/memanto | main | 81 |
For agents
markdown · JSON · MCP: product_card(name="moorcheh-ai/memanto")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem