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by SaravananJaichandar • Uncategorized
An experimental MCP server that builds a temporal knowledge graph to reduce hallucinations, repeated mistakes, and regressions in codebases.
Validate API and function references to prevent hallucinations.
Learn from user corrections to avoid repeating mistakes.
Detect and prevent regressions by tracking bug fixes and critical code regions.
World Model MCP creates a temporal knowledge graph of your codebase that learns from Claude Code sessions to provide long-term memory for your project. It prevents hallucinations by validating API references, learns from user corrections to avoid repeated mistakes, and tracks bug fixes to prevent regressions. The system integrates with external linters and uses LLM-powered entity extraction to maintain an evolving knowledge graph that improves code quality over time.