The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.
GitHub repository with 1,302 stars and 169 forks.
Language: TypeScript
Topics: agents, ai, mcp, mcp-server
2026-06-05: 1,302 stars and 169 forks.
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
GitHub repository with 57,954 stars and 6,626 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: claude-code, swarm, agentic-ai, agentic-framework, agentic-rag, agentic-workflow
Lightweight (7MB) Terminal-first AI-native dev workspace
GitHub repository with 6,756 stars and 724 forks.
Trending score: 4.42; stars gained: +213; forks gained: +26.
Language: TypeScript
Topics: ai, code-editor, linux, macos, rust, tauri
The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
GitHub repository with 32,302 stars and 4,166 forks.
Trending score: 3.74; stars gained: +259; forks gained: +31.
Language: TypeScript
Topics: agent, agent-native, agentic-ai, agents, ai, ai-agent
Your agent writes bad React. This catches it
GitHub repository with 12,189 stars and 387 forks.
Trending score: 3.72; stars gained: +196; forks gained: +4.
Language: TypeScript
Topics: agents, code-review, doctor, react, skill
Annotate and review coding agent plans and code diffs visually, share with your team, send feedback to agents with one click.
GitHub repository with 5,944 stars and 412 forks.
Trending score: 3.41; stars gained: +156; forks gained: +9.
Language: TypeScript
Topics: agents, claude-code, code-review, codex, obsidian, opencode
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
GitHub repository with 24,792 stars and 2,199 forks.
Trending score: 3.40; stars gained: +98; forks gained: +12.
Language: TypeScript
Topics: agents, ai, chatbots, evals, javascript, llm
🎨 Local-first, open-source Claude Design alternative. 🖥️ Native desktop app. ⚡ 259+ Skills · ✨ 142+ Design Systems 🖼️ Web · desktop · mobile prototypes · slides · images · videos · HyperFrames 📦 Sandboxed preview · HTML/PDF/PPTX/MP4 export 🤖 Claude Code / OpenClaw / Codex / Cursor / OpenCode / Qwen / Copilot / Hermes / Kimi & 17+ CLIs.
GitHub repository with 59,158 stars and 6,652 forks.
Trending score: 5.98; stars gained: +1,178; forks gained: +117.
Language: TypeScript
Topics: agent-skills, ai-agents, ai-design, byok, claude-code-for-design, claude-design
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
GitHub repository with 41,600 stars and 2,573 forks.
Trending score: 5.83; stars gained: +2,953; forks gained: +188.
Language: TypeScript
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more
GitHub repository with 10,638 stars and 890 forks.
Trending score: 4.82; stars gained: +560; forks gained: +62.
Language: TypeScript
Topics: ai-agent, ai-coding-agent, anthropic, bun, claude, cli
The API to search, scrape, and interact with the web at scale. 🔥
GitHub repository with 128,853 stars and 7,670 forks.
Trending score: 4.80; stars gained: +954; forks gained: +49.
Language: TypeScript
Topics: ai, ai-agents, ai-crawler, ai-scraping, ai-search, crawler
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
GitHub repository with 57,954 stars and 6,626 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: claude-code, swarm, agentic-ai, agentic-framework, agentic-rag, agentic-workflow
Write HTML. Render video. Built for agents.
GitHub repository with 24,519 stars and 2,280 forks.
Trending score: 4.72; stars gained: +732; forks gained: +60.
Language: TypeScript
Topics: ai, animation, ffmpeg, framework, gsap, html
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
GitHub repository with 57,954 stars and 6,626 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: claude-code, swarm, agentic-ai, agentic-framework, agentic-rag, agentic-workflow
The agent engineering platform.
GitHub repository with 138,559 stars and 22,957 forks.
Trending score: 4.53; stars gained: +171; forks gained: +31.
Language: Python
Topics: agents, ai, ai-agents, anthropic, chatgpt, deepagents
Lightweight (7MB) Terminal-first AI-native dev workspace
GitHub repository with 6,756 stars and 724 forks.
Trending score: 4.42; stars gained: +213; forks gained: +26.
Language: TypeScript
Topics: ai, code-editor, linux, macos, rust, tauri
Hindsight: Agent Memory That Learns
GitHub repository with 15,728 stars and 892 forks.
Trending score: 4.22; stars gained: +129; forks gained: +10.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
Build resilient agents.
GitHub repository with 33,951 stars and 5,705 forks.
Trending score: 4.16; stars gained: +211; forks gained: +33.
Language: Python
Topics: agents, ai, ai-agents, chatgpt, deepagents, enterprise
Observal is a unified platform for agent distribution, observability and insights.
GitHub repository with 1,997 stars and 376 forks.
Trending score: 4.07; stars gained: +119; forks gained: +63.
Language: Python
Topics: cli-tool, evaluation, large-language-models, llm, llm-evaluation, llm-observability