$ loading_
Give AI coding agents persistent, traceable memory across projects and past decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Anamnesis MCP" yet — see the docs or source repo.
Store the key decisions about caching architecture, retry strategy, and error handling for this project in Anamnesis MCP, with traceable cues so I can retrieve and reuse them in similar future projects.
Creates cue-pointer memory records that let future projects retrieve related technical decisions and original context.
Search Anamnesis MCP for past records related to 'Node.js service memory leaks' and summarize the debugging paths, root causes, and fixes used before, with links to their source context.
Returns a summary of past troubleshooting experience with traceable references back to the original records.
Write the recurring API design patterns, logging conventions, and testing practices from the last three projects into Anamnesis MCP, grouped by theme for future AI coding agents to reference.
Builds a cumulative memory library of patterns so AI can maintain consistent engineering practices in new projects.
Give AI coding agents searchable local project memory with safe structured updates.
Give coding agents persistent cross-session memory for project context and decisions.
Store and retrieve agent lessons to improve tasks and avoid repeated mistakes.
Give AI assistants persistent memory, semantic search, and layered context management.
Give AI coding agents persistent memory, loop control, and reminder management.
Gives AI coding agents persistent local memory across sessions for decisions and rules.