Discover quality open-source projects, submit projects anonymously, and claim and edit your own project.
A little curiosity. A world of open source.
THE FIRST COLLECTIONCoalLedger is a docs-health checking suite for AI coding agents — the documentation counterpart to CoalMine's code canaries. Seven canaries flag wrong, incomplete, stale, contradictory, broken, unreadable and (optionally) leaked documentation, with a bundled zero-dependency CommonMark+GFM AST engine, context-judged severity and choice-gated fixes.
ECC is an agent harness operating system that provides a coordinated engineering system and toolbox for AI agents, enabling structured workflows like planning, testing, and reviewing.
GitHub profile README for Sachin, a self-described applied AI architect and engineer. It points to selected open-source projects covering agents, retrieval (RAG), evaluation and reliability tooling, and lists skills, working style, engagement terms and contact details.
Peaky Peek is a local-first, open-source audit and trust console for AI agents. It captures causal chains, verifies claims deterministically, and produces explainable trust scores with failure narratives — all running on your machine.
AgentLeak is an open-source privacy testing tool for AI agents. It detects data leaks across tool calls, memory, and logs using a local Python SDK, CLI, and MCP tools, providing redacted reports and CI gates without cloud dependencies.
NovaFabric is an open-source, self-hosted CLI that captures any AI or HPC run — script, agent, or model call — as a portable, secret-redacted, replayable evidence capsule you own, with no application code changes.
A curated library of machine-readable task prompts and Agent Skills for coding agents, focusing on common agent failures like broken setup scripts, vague issues, and tests requiring unavailable services. Includes fixtures with planted defects for validation.
A comprehensive guide for AI/ML technical interviews at big tech companies, covering coding, ML fundamentals, system design, and behavioral prep, with an optional MCP-based AI tutor.
TraceFrugal is a local Go application that visualizes token usage for Claude Code and Codex, offering MCP result packing, cost regression gates, and optimization trials to help developers manage AI context efficiency and verify savings.
Reticle is a proxy and desktop UI for debugging MCP integrations. It intercepts, visualizes, and profiles MCP JSON-RPC traffic in real time with microsecond-level overhead, letting developers inspect messages, correlate request-response pairs, profile latency, capture server errors, and record sessions for export.
Open-source front-end quality system with 385 rules across 11 categories (HTML, CSS, JavaScript, performance, accessibility, SEO, security, images, testing, privacy, i18n). Supports web browsing, MCP server integration for AI agents, and skills-based workflows.
Agent Interlock is an agentic AI security framework that declares the actors and trust boundaries of an AI agent system, wraps each actor's tools through an SDK or proxy, and enforces MCP tool threats M1–M9 across observe, shadow and enforce stages, recording every verdict in an append-only ledger.
