An MCP server that connects Claude Code and other MCP-compatible clients directly to arXiv. Search papers, fetch metadata, and extract full-text PDFs without leaving your editor. Perfect for AI researchers and builders who want to quickly reference papers while coding. Ask your AI assistant to find relevant papers and it fetches them in context.
AlignDev is a frontend conventions generator for teams using multiple AI coding agents. It solves the problem of inconsistent code when different AI agents work on the same codebase by generating a shared SKILL.md that all agents follow. A 7-step wizard covers stack selection, UI styling (49 pre-built styles), state management, toolchain, directory structure, naming conventions, and design tokens. Supports Next.js, React, Vue, Nuxt, and SvelteKit with real-time npm version syncing. Built with Next.js 16, React 19, TypeScript, and Tailwind v4. Includes WCAG contrast ratio calculations and i18n support with LTR/RTL handling.
AgentGraphed reads JSONL logs from Claude Code and Codex CLI and turns them into an interactive dashboard. See every session, every project, every dollar across your whole machine. Just run npx agentgraphed and open localhost:3737. Features timeline views, session browsing with chat-bubble UI, project tracking by AI usage, one-click resume for past sessions, 30-day usage charts with token counts and cost estimates across 2700+ models, and optional live quota monitoring from Anthropic. All data stays local in SQLite. No cloud account or API setup needed. Built with TypeScript and Next.js. MIT licensed.
Rainman is a persistent memory system that helps AI coding assistants like Claude Code remember project context, lessons learned, and solutions across sessions. It uses no LLM tokens and runs entirely on your local machine with just Python 3.10+. Its smart retrieval system combines keyword matching, temporal recency using ACT-R power-law decay, category-based importance, and associative linking. Integrates via MCP server, Claude Code lifecycle hooks, or CLI. New memories automatically link when keyword overlap exceeds 25%. Born from a real debugging scenario where Claude Code spent hours on a workaround when a 516-line solution already existed in the codebase. Rainman ensures that never happens again.
Axocoatl is a Rust-based runtime for building self-coordinating multi-agent systems. Agents activate when their dependencies complete — no central orchestrator needed. Think pheromone-based coordination, but for AI agents. It features persistent state that survives server restarts, per-agent token budgets to control LLM costs, and works with Ollama, OpenAI, Anthropic, Mistral, Gemini, and OpenRouter. Supports both MCP and A2A protocols. Apache 2.0 licensed. No Rust toolchain needed to install — just curl the install script and run.
Open-source context-augmentation layer boosting coding agent performance by 27% using up-to-date knowledge bases. Ready to integrate with existing agent workflows.
Step-by-step tutorial for building real-time recommendation engines combining LLMs with Graph Databases. Covers product recommendations and personalization strategies.
Lightweight agent runtime featuring DSPy modules with CLI and FastAPI server. Perfect alternative to heavy frameworks - agents without the 500MB overhead.
Neovim plugin bringing Claude Code directly into terminal editor. Integrates Claude's coding capabilities into Neovim workflow for terminal-based development.
Popular node-based user interface for Stable Diffusion workflows. Mentioned in context of AI avatars creating self-teaching tutorials, demonstrating the tool's complexity and learning curve.
Meituan's open source AI model that rivals GPT-5 performance. Clone the repository and start experimenting with state-of-the-art capabilities for free.
CLI tool providing reusable, framework-native AI agent components. Think shadcn/ui but for AI agents - copy, paste, and customize agent functionality across projects.
Google quietly updated their Gemini Live model. Early reports suggest significantly better code completion and reasoning capabilities for developer workflows.
CLI tool that packages your entire project codebase into LLM-ready context format. Start with npx generate-project-context in your repo root to prepare projects for AI assistance.
Open-source Django application demonstrating local LLM integration with server-side events and HTMX. Clone and deploy a working AI app in minutes without external API dependencies.
Crash course covering four main types of agentic AI systems with real-world implementation strategies. Practical guide for developers building autonomous AI applications.
DeepMind research on Deep Loop Shaping method improving gravitational wave observatory control. Includes open-source code for physics simulations and research applications.
AI tool that automatically generates and maintains codebase documentation with dependency-aware context. Handles the task developers universally hate, keeping docs up-to-date automatically.
Tool designed to verify and validate vibe-coded applications. Represents the counterculture to vibe coding movement, checking if AI-generated code actually works properly.
Comprehensive handbook featuring 60+ AI agent skeletons and tutorials. Clone the repo, pick a skeleton template, and ship a working agent quickly with pre-built architectures.
MCP server giving LLMs real-time web scraping capabilities without getting blocked. Compatible with any LLM, IDE, or agent framework for reliable data extraction.
Open-source framework for training multi-step LLM agents using GRPO (Group Relative Policy Optimization). Enables agents to learn from their mistakes and improve over time.
Comprehensive GitHub repository featuring 50+ LLM projects including RAG implementations, multi-agent systems, fine-tuning examples, and voice assistants. Clone and learn from working examples.
DSPy-powered command-line startup advisor delivering brutally honest YC-style feedback. Text-based or terminal interface for startup validation and advice.
Framework that auto-discovers tools via Model Context Protocol and builds LangChain/CrewAI agents without boilerplate code. Plug-and-play for any MCP-compatible service.
Gauss AI agent solves complex math theorem in 3 weeks that took humans 18+ months. Demonstrates current state-of-the-art reasoning capabilities in specialized domains.
Framework enabling MCP server definition as simple Python files, auto-generating FastMCP servers with zero boilerplate. Fastest way to build scalable Model Context Protocol servers.
100% open-source RAG engine alternative to expensive RAG services. Features deep document understanding with built-in citation tracking. Complete self-hosted solution for document AI.
Google's new interoperable protocol enabling AI agents to make purchases. Early access available for developers building commerce agents.
ROMA Framework by SentientAGI - horizontal AI operating system blueprint featuring general delegation to specialized agents. Architecture for coordinating multiple AI agents.
Example implementation of domain-specific Model Context Protocol server for regulatory data. Template for building custom MCP servers for specialized use cases.
GitHub tool to remove watermarks from SORA 2 videos using LaMA inpainting technique. Open source solution for clean AI-generated video content.
AI-powered web penetration testing tool using rule-based intelligence. Automates security testing workflows for web applications with intelligent scanning.
Repository with 20+ scalable backend examples. Open source gold mine for AI agents, workflows, and backend systems implementation patterns.