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by hifriendbot • Uncategorized
An MCP server that provides persistent cognitive memory for AI coding assistants across sessions and devices.
Persistent memory of project context, architecture, and coding preferences across sessions.
Semantic search and intelligent recall to improve coding assistance quality.
Team collaboration and cross-device synchronization of AI assistant memories.
CogmemAi is an AI memory system designed to help coding assistants remember architecture, decisions, bugs, and preferences permanently. It supports cloud, local, and hybrid storage modes, offering semantic search, auto-linking knowledge graphs, contradiction detection, and self-improving recall. The system enhances AI coding workflows by preserving context across sessions, enabling team collaboration, and providing proactive insights and auto-skills for continuous learning.
Store a developer memory (fact, preference, decision, architecture detail). Memories persist across all Claude Code sessions and are available in future conversations.
Search stored memories using semantic search. Returns memories ranked by relevance, importance, and recency. Use this to find relevant context from past sessions.
Extract memories from a conversation exchange using AI. Send the developer message and assistant response, and the server identifies facts worth remembering (architecture decisions, preferences, bug fixes, etc.).
Load top memories for the current project plus relevant global memories. Use at the start of a session to get full context from previous sessions. Optionally pass context to get memories most relevant to your current task.
List stored memories with optional filters by type, category, scope, or project.
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