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claude-mem + cmem
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About claude-mem + cmem
claude-mem + cmem provides a memory layer for AI agents and development environments. The open-source engine captures decisions, fixes, and dead ends as structured observations while agents work, storing them in a temporal database with built-in vector search. These observations are mirrored to CMEM Cloud via a private MCP link, enabling any agent or IDE to access shared memory in real time. The system supports per-project scopes, role-based access control, and offline-first synchronization. Teams can isolate memory by repository or environment, ensuring context reaches only the relevant teammates and agents. Brainbeats trigger bespoke context briefs for specific agents when predefined conditions are met, automating responses to events like spikes in error rates or merged API contracts. The platform integrates with popular agents and editors including Claude Code, Cursor, Windsurf, OpenCode, and CLI tools, offering a unified memory layer without requiring configuration.
Key features
- Temporal observations database
- Built-in vector index for semantic search
- Private MCP endpoint for secure access
- Offline-first synchronization
- Per-project memory isolation
- Role-based access control
- Brainbeats for automated agent briefing
- CLI and IDE integrations
Use cases
- Tracking architectural decisions across team members
- Automated triage of error spikes using agent briefings
- Maintaining project context for new team members
Pros
- Open-source engine with Apache-2.0 license
- Offline-first sync with private MCP link
- Built-in vector search for semantic recall
- Per-project scopes and role-based access control
- Zero-config installation via npx claude-mem install
Cons
- Requires installation of the engine before use
- Cloud service access depends on paid plans for private MCP links
- Limited to agents and IDEs supporting MCP protocol
Frequently asked questions about claude-mem + cmem
What is claude-mem + cmem and what does it do?
claude-mem + cmem provides an open-source memory layer for AI agents and development environments, capturing decisions, fixes, and dead ends as structured observations in a temporal database with built-in vector search.
Who is claude-mem + cmem designed for?
The tool is designed for developers, teams, and AI agents who need a unified memory system to avoid repeating explanations, track decisions, and automate context-aware responses across multiple agents and editors.
How does the memory synchronization work with CMEM Cloud?
The local memory engine mirrors observations to CMEM Cloud via a private MCP link, enabling real-time access for any agent or IDE while maintaining offline-first synchronization and per-project scopes.
What are Brainbeats and how are they used?
Brainbeats are automated triggers that brief specific agents when predefined conditions occur, such as spikes in error rates or merged API contracts, ensuring timely and relevant context delivery.
Which agents and editors does claude-mem + cmem integrate with?
The system integrates with popular agents and editors including Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Codex, and CLI tools, requiring minimal to no configuration.
How do I get started with claude-mem + cmem?
Users can install the engine with a single command, such as 'npx claude-mem install', which wires into the agent without requiring configuration or an account, and then mirrors memory to CMEM Cloud.
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