Local-first toolkit for shader generation, review, validation, and export to Shadertoy, WebGL, LÖVE 2D, and video workflows. Supports AI-assisted drafting, license filtering, render preflight checks, and web UI with live preview.
Open source. Open possibilities.
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 COLLECTIONLangExtract is a Python library from Google that uses LLMs to extract structured information from unstructured text, grounding every extraction to its exact source location and generating interactive HTML visualizations.
HermesMade provides six CLI tools addressing common AI user pain points: censorship risk analysis, model quality monitoring, API cost optimization, local LLM deployment, code inspection, and task cost estimation.
Euler is a research and coding agent platform with a small, runtime-extensible core. It provides first-class provenance tracking, multi-model support, sandboxed execution, and an extension system for building custom agent workflows.
Overflow is a cooperative credit ledger for open-source work: sponsors offer issues, contributors close them via GitHub, and the service records settled transfers with labels, comments, API tokens and MCP tools.
Takakia is a lightweight command-line AI chat interface optimized for low-spec hardware, featuring direct API streaming and minimal resource overhead.
ipsupport-code is a self-learning local coding agent for LM Studio and OpenAI-compatible providers, featuring a Claude-Code-style TUI, plan/auto modes, and skill-based recovery.
Mem0 is an open-source memory layer for AI assistants and agents, offering persistent personalized memory via Python/TS SDKs, CLI, self-hosted server, or cloud. Supports multi-level memory, hybrid retrieval, temporal reasoning, and many LLM providers.
Hello-Agents is a systematic intelligent agent learning tutorial launched by the Datawhale community, covering core agent principles, classic paradigm construction, framework development, memory and retrieval, context engineering, communication protocols, Agentic-RL training and comprehensive project practice, suitable for AI developers and self-learners to build AI-native agents from scratch.
AgentGuide is an open-source knowledge base for AI Agent development, research, and job hunting, offering systematic learning paths, hands-on projects, and interview question banks to guide learners from beginner to job offer.
RAPID is a lean, spec-driven methodology for AI-assisted development, structuring workflows from requirements to delivery with human approval gates.
An animation-first React framework designed for high-fidelity visual websites, featuring persistent shells and live-tweakable motion tokens.
Build production-ready conversational AI apps in Python quickly. Supports tools like OpenAI, LangChain, and more. Community-maintained since May 2025.
Read-only-by-default Model Context Protocol (MCP) server for Microsoft SQL Server, providing metadata discovery, parameterized SELECT-only queries, execution plan analysis for slow query diagnosis, profile-based multi-connection configuration, and optional per-profile write access, shipped as a .NET NuGet tool.
llm-apipool aggregates 40+ free LLM APIs into one OpenAI-compatible endpoint. Auto-rotates keys, handles rate limits, tracks usage, and supports CLI, TUI, proxy, and LangChain integration.
AIP is a real-time thinking block analysis protocol for AI agent alignment, extracting and evaluating LLM reasoning before actions to detect misalignment, prompt injection, and drift.
MetaGPT: A Multi-Agent Framework for Complex Tasks
Swarm is a local-first control plane for AI-agent development that monitors every Claude Code, Codex, Gemini, Grok, Aider, and opencode session on your machine — tracking live tool calls, token spend, cost, tasks, worktrees, and resources — with rules enforcement, a coordination ledger, and a unified dashboard.
Iris is a local-first MCP server that scores AI agent runs for quality, safety, and cost using 20 built-in deterministic rules, an optional LLM judge, and a web dashboard — all on your machine with no account or telemetry.
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.