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Give AI persistent structured project memory with human-readable access and management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OCD - Organized Context Datastore (MCP)" yet — see the docs or source repo.
Use OCD to create a hierarchical knowledge base for the current project, including product background, technical architecture, meeting notes, todos, and decision logs, and suggest a Markdown folder structure.
A clear project knowledge tree with recommended document nodes for ongoing writing and retrieval.
Summarize the requirement changes, confirmed constraints, and open issues from our last three discussions, store them in OCD, and prioritize them in future responses.
Historical discussions are stored as structured memory so future AI responses stay contextually consistent.
Use OCD to create a team-visible decision log area, organizing each decision by topic with context, alternatives, conclusion, and owner.
A unified decision archive accessible to AI through tools and to humans through the web interface.
Store project rules, context, and decisions for reuse across MCP clients.
Give AI assistants a persistent, searchable memory layer and context management.
Manage, version, and query a governance-grade Markdown knowledge base.
Connect Obsidian vaults for local-first AI memory search and knowledge management.
Give AI assistants persistent memory, semantic search, and layered context management.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.