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Automatically stores technical knowledge and retrieves relevant context across future AI sessions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "tech-memory-mcp" yet — see the docs or source repo.
From our recent conversations about the payment system refactor, automatically extract key technical decisions, lessons learned, and unresolved issues, then save them as long-term memory for future retrieval.
Structured technical memory entries containing decisions, context, lessons learned, and follow-up items.
I’m continuing work on the log processing service. Retrieve previous architecture discussions, performance bottleneck analysis, and solutions we already tried, then give me a summary first.
A concise summary of the most relevant past context to quickly resume the work.
Search past conversations for troubleshooting knowledge related to Kubernetes deployment failures, container startup issues, and configuration errors, then turn it into an actionable checklist.
An actionable troubleshooting checklist distilled from historical memory and related lessons.
Persist Claude Code conversations and retrieve relevant context across sessions.
Give AI coding assistants persistent, conflict-aware memory across projects and sessions.
Provide shared memory for Claude across apps with sessions, handoffs, and artifacts.
Give AI assistants persistent memory, entity storage, and semantic search across sessions.
Give AI coding agents long-term memory, search, and organization across sessions.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.