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Give AI agents Git-native long-term memory with searchable, reviewable writes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Hypermnesic" yet — see the docs or source repo.
Use the Markdown files in the current repository as the AI agent’s long-term memory source, build a rebuildable search index, and explain how to securely access and retrieve past decisions, design notes, and operational logs through the MCP endpoint.
A setup plan describing the memory source, retrieval method, secure access pattern, and rebuildable indexing model.
Retrieve historical memories related to “authentication flow refactor,” prioritizing Markdown records with both strong semantic similarity and keyword matches, then summarize the key conclusions and related commit clues.
Relevant memory entries, summarized conclusions, and context traceable to Git commits.
Turn this incident review into a new long-term memory, write it to Markdown, and create a documented Git commit including symptoms, root cause, fix steps, and preventive actions.
Structured memory content written with a reviewable Git commit record.
Provide Git-native project memory for AI coding agents with safe, reviewable context.
Git-versioned markdown memory for AI agents with search, compaction, linting, and audit.
Give AI coding agents searchable local project memory with safe structured updates.
Give AI coding agents persistent local shared memory across agents.
Give AI agents persistent semantic memory with searchable cross-session context.
Give AI coding agents persistent cross-project memory and connected context retrieval.