MemTensor/memmy-agent
Some data may be outdated — see provenance labels.
🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc. observed · 2026-09-21
Health v2 · maintenance only
77/100
- Activity 95
- Release rhythm 95
- Longevity 6
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 4.0
- age_days: 96
- days_rel: 35
- days_push: 30
- n_releases_24m: 15
Adoption not part of the score
1959 stars · 181 forks observed · 2026-09-21
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Memmy is a personal AI agent and local memory hub that gives every AI agent (Claude Code, Codex, Cursor, OpenClaw, etc.) a shared, locally controlled long-term memory and persistent context. It ships as a desktop app, CLI, and HTTP/OpenAI-compatible API, powered by a MemOS-based memory engine with local SQLite storage.
Use cases
- share one memory across Claude Code, Codex, and Cursor
- continue unfinished tasks when switching between AI coding agents
- turn scattered AI chat history into structured personal memory
- remember my coding preferences so I never repeat them to new agents
- hand tasks directly to a personal AI agent that knows my context
- inject relevant project context into whichever agent I'm using
- run a local memory service for external agents via CLI or API
- consolidate weekly technical decisions into a document automatically
When to choose
- you work with multiple AI agents daily and want shared, persistent context
- you want local-first memory storage with BYOK model support
- you need cross-agent task continuity without re-explaining your project
- you want an agent runtime with MCP, scheduled tasks, and skills built in
When to avoid
- you need a purely cloud-hosted memory service with team collaboration
- you only use a single AI tool and don't need cross-agent memory
- you require fully offline operation without any account or trial tokens
- you need a lightweight library to embed memory in your own app rather than a standalone app
Facets
application · maturity active
agent-framework mcp rag chatbot cli search-engine sdk large-language-models developer-tools windows cli cross-platform long-term-memory memory-hub cross-agent-context desktop-pet local-first byok claude-code codex cursor openclaw memos sqlite tui task-continuity ai-agents automation macos desktop typescript
3 sources
- readme: https://github.com/MemTensor/memmy-agent · fetched 2026-09-21 · 585fe757016c
- homepage: https://memmy.bot · fetched 2026-08-29 · dee83b903674
- site_page: https://memmy.bot/docs · fetched 2026-08-29 · 16ebde9f7fe4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| MemTensor/memmy-agent | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="MemTensor/memmy-agent")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem