AI Memory System for Claude Code and Gemini CLI sessions. Preserves context, insights, and relationships across conversations. Benefits developers by maintaining continuity in AI interactions. Connects to Claude Code and Gemini CLI workflows.
git clone https://github.com/RLabs-Inc/memory-ts.gitMemory-ts preserves conversation context, debugging insights, and architectural decisions across Claude Code and Gemini CLI sessions so your AI assistant remembers previous work and picks up where you left off. Using semantic embeddings and a multi-signal activation algorithm, the system automatically surfaces relevant memories based on meaning rather than keywords. Installation takes one command, the memory server runs alongside your coding sessions with zero friction, and curation happens automatically at session end. Developers benefit from continuous context without re-explaining decisions or rebuilding rapport with each new session. The system handles concurrent sessions from different CLIs seamlessly and supports both global cross-project memories and project-specific technical details.
Install globally with `bun install -g @rlabs-inc/memory`, then run `memory install` for Claude Code or `memory install --gemini` for Gemini CLI. Start the memory server with `memory serve` and verify setup with `memory doctor`. Use your AI assistant normally—memories extract and surface automatically.
Maintain architectural decisions and design rationale across multiple Claude Code sessions
Retrieve debugging insights and solutions automatically when encountering similar problems
Access action items and pending implementation tasks marked with the *** signal
Preserve personal preferences and coding philosophy across projects
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/RLabs-Inc/memory-tsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Activate memory-ts for my current session. I want to preserve key insights about [SPECIFIC_TOPIC] from previous conversations. When I ask about [RELATED_TOPIC], use the stored context to provide more accurate and relevant responses. For example, here's a summary of what I learned earlier: [SUMMARY_OF_PREVIOUS_INSIGHTS].
Understood! I've activated memory-ts for this session. I'll now preserve and utilize the context you've provided about [SPECIFIC_TOPIC]. For instance, when you asked about [RELATED_TOPIC] earlier, you mentioned [SUMMARY_OF_PREVIOUS_INSIGHTS]. I'll keep this in mind to ensure my responses are more accurate and relevant. Let's continue our discussion with this enhanced context.
Asynchronous team communication with focus mode
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