claude-mem vs Letta
Letta: Stateful agents with self-editing long-term memory (formerly MemGPT).
Letta (formerly MemGPT) builds stateful agents with self-editing long-term memory — a framework for the agents themselves. cmem is not an agent framework; it is a memory layer that rides alongside the agent you already use, capturing observations and serving them over MCP. Install it into Claude Code or point any MCP client at your private link.
Move without ripping anything out
Install the engine
Run npx claude-mem@latest install. The open-source engine wires into Claude Code natively and starts writing observations — nothing to migrate first.
Keep what you have
cmem speaks MCP, so it sits alongside Letta rather than replacing it. Point any MCP client at your private link and both can read.
Recall everywhere
Once CMEM Cloud mirrors your DB, the same memory is reachable from every agent and machine through one private MCP link.
Memory that compounds, built in
Automatic capture
A second model writes structured notes out-of-band — no prompting, no slowdown.
Auto-categorization
Decision, bugfix, feature, discovery, security — every note lands in a taxonomy.
Search three ways
Semantic, keyword, and timeline search over everything your agents have done.
Causality threading
Before/after links connect why a change happened to what came next.
Local-first & private
Memory lives in local SQLite with privacy stripping; cloud sync is opt-in.
Smart-explore
Structural codebase exploration that is 6–12× cheaper than reading files in full.