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Maintain persistent project understanding across chats with code search and memory.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Cerebro MCP" yet — see the docs or source repo.
Read the cached project memory for this repository, summarize the main modules, directory responsibilities, and key dependencies, then tell me which files I should inspect first.
A high-level project map with module explanations, key entry files, and a recommended reading order.
Search for code related to user login and authorization checks, list the relevant files and functions, and use existing memory to explain their call relationships.
Relevant code locations, a function list, and a memory-informed explanation of the call chain.
Save this analysis of the payment module into project memory: core services, state transitions, known risks, and the files to check first next time.
A structured analysis stored in persistent memory for direct reuse in future sessions.
Give local AI coding assistants persistent memory and semantic code search.
Build software by chatting with AI agents, no terminal or coding required.
Give AI coding assistants local long-term memory with searchable lessons and patterns.
Give AI assistants persistent memory, semantic search, and layered context management.
Search and navigate multiple code repositories with natural language understanding.
Generate project context maps for AI coding agents to inspect repositories and log changes.