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Give coding agents auditable local-first long-term memory for better continuity.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Mnemic" yet — see the docs or source repo.
Store the current repository structure, key dependencies, unfinished tasks, and recent architecture decisions into long-term memory, then generate a write preview for my approval.
Provides a reviewable memory write preview and, after approval, saves project context for future sessions.
Recall why we changed the authentication approach to JWT, and list related commits, discussion records, and timeline with provenance for each conclusion.
Returns a decision trace with timeline and provenance details to quickly verify historical context.
Let multiple coding agents share the same memory layer: record fixed bugs, todos, code conventions, and test conclusions, ensuring every write is auditable.
Creates a shared, auditable graph-backed long-term memory that reduces repeated analysis and improves multi-agent consistency.
Gives AI coding agents persistent local memory across sessions for decisions and rules.
Give AI agents local-first memory, retrieval, and spaced learning workflows.
Provide local-first, auditable, consent-gated memory across AI tools via MCP.
Manage persistent AI memories with tagging, search, retrieval, and trigger-based recall.
Gives AI assistants human-like memory decay and reinforcement for better long-term interactions.
Give AI coding agents persistent local shared memory across agents.