I Built Context+ AST and Embeddings for Codebase Understanding

I cant believe i just made a permanent solution to context bloat and open sourced it all!

when we tested this tool (Context+) for solving an issue on the OpenCode repository, the agent using this tool used ~6.5k fewer tokens, found the code and fixed it in half the time!

the results were surprising: 6 to 10k tokens saved per prompt, completed task in ~2 minutes while the agent running without the tool took ~4 mins for the same and got stuck in loops

built an entire beast by using all the modern tools that we could think of: undo trees, semantic search by meaning (by haskellforall), advanced refactoring, blast radius, advanced file context trees, restore points... i can keep going on

semantic code search and context trees are the future of agentic coding and this tool proves it

the feature i loved the most is semantic search and how it gets things done 2x faster with least possible tokens

it makes an agent that actually knows what it’s doing and not just guessing, it makes meaning from your code similar to RAG. if you aren't optimizing your context, you are just burning money

this tool is still under development, it can have unexpected behavior and the docs need updates but the video shows the reality of how fast it can be

github: https://github.com/ForLoopCodes/contextplus get here: https://contextplus.vercel.app youtube: https://www.youtube.com/watch?v=2YKQPzQFvvg x: https://x.com/forloopcodes/status/2027745057483460757