Developer Tools / AI / ML Infrastructure
A pure-Python LLM inference engine and server with CUDA/HIP/Metal code generation, OpenAI-compatible API support, built-in RAG, and multi-GPU backend support.
The release page clearly describes an AI infrastructure product with concrete capabilities, install commands, backend support, benchmarks, and migration notes. It is useful for AI builders because it shows how to install, run, and integrate the engine, and it includes enough evidence to support a public directory listing.
The page is a release entry, so some important details still live elsewhere: exact hardware/runtime requirements, supported model limits, and how stable the 2.0.0 rewrite is for production use.
Last evaluated 14 hours ago. Current rank #98. Up 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.
