Memlink is a self-hosted MCP (Model Context Protocol) server that gives AI agents persistent, organized memory. One memory, one URL, any agent connects. No tokens. No headers. No OAuth. Just the URL.
GitHub repository with 8 stars and 0 forks.
Language: TypeScript
Topics: agents, ai, cli, mcp, memory
Trending score 0.04, activity score 0.03, stars gained +0, forks gained +0.
2026-06-05: 8 stars and 0 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 57,927 stars and 6,621 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: agentic-ai, agentic-framework, agentic-rag, agentic-workflow, agents, ai-agents
Lightweight (7MB) Terminal-first AI-native dev workspace
GitHub repository with 6,748 stars and 726 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 32,267 stars and 4,161 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 12,173 stars and 387 forks.
Trending score: 3.72; stars gained: +196; forks gained: +4.
Language: TypeScript
Topics: agents, code-review, doctor, react, skill
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
GitHub repository with 24,781 stars and 2,199 forks.
Trending score: 3.40; stars gained: +98; forks gained: +12.
Language: TypeScript
Topics: agents, ai, chatbots, evals, javascript, llm
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
GitHub repository with 22,915 stars and 1,748 forks.
Trending score: 3.09; stars gained: +36; forks gained: +3.
Language: TypeScript
Topics: agents, ai, context-window, framework, llms, memory
🎨 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 59,012 stars and 6,642 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 41,316 stars and 2,557 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 10,606 stars and 885 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 128,792 stars and 7,668 forks.
Trending score: 4.80; stars gained: +954; forks gained: +49.
Language: TypeScript
Topics: ai, crawler, markdown, scraper, html-to-markdown, llm
🌊 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 57,927 stars and 6,621 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: agentic-ai, agentic-framework, agentic-rag, agentic-workflow, agents, ai-agents
Write HTML. Render video. Built for agents.
GitHub repository with 24,458 stars and 2,274 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 57,927 stars and 6,621 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: agentic-ai, agentic-framework, agentic-rag, agentic-workflow, agents, ai-agents
The agent engineering platform.
GitHub repository with 138,538 stars and 22,952 forks.
Trending score: 4.53; stars gained: +171; forks gained: +31.
Language: Python
Topics: ai, anthropic, gemini, langchain, llm, openai
Lightweight (7MB) Terminal-first AI-native dev workspace
GitHub repository with 6,748 stars and 726 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 15,682 stars and 891 forks.
Trending score: 4.22; stars gained: +129; forks gained: +10.
Language: Python
Topics: agentic-ai, memory, agents, ai-memory
Build resilient agents.
GitHub repository with 33,917 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 1,996 stars and 375 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