CMEM
Open-source memory for AI coding agents, mirrored to a private cloud MCP link
About CMEM
CMEM is the cloud half of claude-mem, an open-source memory layer for AI coding agents. The local project captures observations as you work — decisions made, approaches tried, dead ends hit — into a temporal, structured store with vector search, and installs into Claude Code with a single `npx claude-mem install` and zero configuration. CMEM Cloud mirrors that local database to a hosted store and exposes it through a private MCP link, so one endpoint serves every agent you use: Claude Code first-class, Cursor and Windsurf as a drop-in MCP server, and CLI agents including Codex, Gemini and OpenCode through the same compatibility layer. Recall is hybrid — full-text combined with recency weighting, plus vector search by meaning — and a web dashboard lets you browse every observation rather than trusting an opaque store. The team tier scopes memory per project, repository or environment with read and write roles per member, so a shared memory does not become a shared liability. The distinctive feature is what the project calls brainbeats: rather than waiting to be queried, the memory layer fires context at the right agent when something matters — a spiking checkout error rate briefs a triage agent and sets it running. The install path is open source with the code on GitHub, a Discord community, and a weekly-shipped changelog; a status page tracks sync health.
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Key Features
CMEM Pros & Cons
✅ Pros
- +The core memory layer is open source and free to run locally
- +One MCP endpoint covers every agent instead of per-tool memory
- +Dashboard makes the stored memory inspectable rather than opaque
⚠️ Cons
- −Cloud pricing is not readable without starting a purchase
- −Cloud sync means your working context is mirrored off-machine
- −Brainbeats-style proactive briefing can be noisy without tuning
Who Is CMEM Best For?
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