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by faxik • Uncategorized
An MCP server that provides persistent tracking of code review findings, bug reports, tech debt, and requirements for AI assistants using a local SQLite database.
Persistent memory of code review findings and bug reports across sessions.
Track and verify software requirements and their test coverage.
Semantic search capabilities over requirements using embedding vectors.
codebugs enables AI assistants to maintain persistent memory across sessions by storing code review findings and requirements in a local SQLite database. It offers tools for logging, querying, updating, and summarizing findings and requirements, reducing token overhead and avoiding context loss. The system supports semantic search via embeddings and automated verification of requirements to detect documentation issues, helping teams track progress and identify systemic problems proactively.