Developer Tools / AI / ML Infrastructure
Lightweight AI inference engine written in Rust for embedding local LLMs in mobile and desktop apps, with bindings for Python, Flutter, and React Native.
The page clearly describes a real AI-powered developer tool: a local inference engine for apps that keeps models on-device, supports GGUF checkpoints, and exposes chat, streaming, tool calling, embeddings, and reranking. The README includes concrete usage examples for Python, Flutter, and React Native, plus platform notes for desktop and mobile. That is enough evidence for a useful public listing.
The snapshot doesn’t show benchmark data, supported model list beyond examples, installation/setup details for the core Rust package, or maintenance signals beyond commits and a small star count.
Last evaluated 27 days ago. Current rank #281. Up 35 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.
