Developer Tools / AI Safety / LLM Guardrails
A Python filter layer for LLM apps that evaluates responses against a Lean-verified Scherf logic backend and can pass, flag, correct, or block output.
The page clearly describes an AI-adjacent developer tool with a concrete purpose: filtering LLM output using a verified logic layer. The README shows installation, a quick-start example, the available actions, and how the checker works, which is enough evidence for a useful public listing. It also has a distinctive angle—formal verification plus claim extraction for safety and user-objectification concerns—that makes it stand out from generic moderation tools.
The crawl gives a strong overview, but it still leaves some practical details unclear: how well the claim-extraction step works in real usage, what kinds of models or runtimes it supports beyond the shown Python API, and how developers would configure or extend the policy in a real application.
Last evaluated 46 days ago. Current rank #757. 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.
Single-binary CLI that builds an AI agent knowledge base from git repos, Claude Code/Codex sessions, and saved links. It generates a portable markdown wiki, runs on cron, supports local Ollama mode, and exposes the result for agents via CLAUDE.md/AGENTS.md and MCP.
A lightweight React Markdown renderer with built-in LaTeX, syntax highlighting, streaming-safe rendering, and security-focused defaults.
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.
