Developer Tools / AI Development
An open-source Llama2 inference engine written in x86 real-mode assembly that fits in 1277 bytes and can boot directly from disk before any OS loads.
The page clearly describes an AI-powered developer project with a concrete purpose, visible implementation details, and enough README evidence for a useful listing. It explains that sectorllm runs a quantized Llama2 model in a tiny boot-sector assembly engine, shows how to run it, and outlines how the model loading, quantization, and sampling work.
The snapshot does not show a demo output, benchmarks, license, or recent release information, and it is still unclear how practical it is beyond the small stories260K model and greedy sampling.
Last evaluated 27 days ago. Current rank #331. Down 2 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Claude Code plugin that blocks dependency edits until a fresh, source-cited version check is recorded, helping prevent hallucinated or stale package versions across npm, pip, Poetry/uv, Cargo, and NuGet.
An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.
CLI for catching AI-generated code smells and regressions in code. It scans changes with 40+ rules across 7 languages, offers fixes, CI gating, hooks, and MCP tools.
