
RepoRAG
Ask questions about any GitHub repo in plain English
What it does
RepoRAG lets you ask questions about any GitHub repo in plain English. Paste a URL → it clones the repo, reads all code & configs, builds a local vector index, and answers using Gemini 2.5 Flash — always citing source files. → Public & private repos supported → 100% free embeddings (runs on CPU) → Semantic search, not just keyword matching → No paid vector DB needed
Does the same job
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- GAGitHub-assistant – Natural language questions from your GitHub data2024 · github.com · ▲49
Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…

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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, March 2026
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