srclight vs Trail-Code
srclight: Srclight builds a rich, searchable index of your codebase that AI coding agents can query instantly, replacing inefficient grep/glob calls with precise, structured lookups. It provides comprehensive code intelligence, including symbol search, relationship graphs, and semantic search, all while operating fully local and private.; Trail-Code: Trail-Code (formerly Graft) enhances coding agents like Claude Code, Cursor, and Gemini by providing them with a contextual understanding of the codebase. This results in significantly faster, cheaper, and more accurate code generation and problem-solving, preventing agents from repeatedly re-exploring the same code.
TL;DR
AI agents can instantly get codebase overviews and find callers/callees, drastically reducing orientation time.
- You keep correcting your agent the same way and want each lesson saved as a rule in CLAUDE.md and AGENTS.md.
- You want learnings committed in `.trail/learnings/` so the next session or a teammate gets them back.
- You want a code graph as linked markdown files, with no embeddings or server.
- You need independent benchmarks: the 4x cheaper and 3x faster claims are the project's own.
- You want team views without a hosted account: they need sign-in to a hosted service.
- You prefer mature tools: the repository was created in July 2026.
Side-by-Side Comparison
Features
Use Cases
Best For
FAQ
Deploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.