🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
GitHub repository with 1,993 stars and 181 forks.
Language: Python
Topics: agentic-ai, data-augmentation, data-generation, llm, mcp, multimodal, nemo, nvidia, synthetic-data, tool-use
Trending score 1.63, activity score 0.05, stars gained +5, forks gained +0.
2026-06-13: 1,993 stars and 181 forks.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
GitHub repository with 82,585 stars and 9,523 forks.
Trending score: 4.64; stars gained: +171; forks gained: +18.
Language: Python
Topics: agentic-ai, agentic-retrieval, agentic-search, ai, ai-agents, context-engine
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
GitHub repository with 2,610 stars and 346 forks.
Trending score: 3.91; stars gained: +180; forks gained: +23.
Language: Python
Topics: agentic-ai, agentic-workflows, ai-agent, ai-agents, awesome-list, chinese-llm
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
GitHub repository with 11,297 stars and 1,892 forks.
Trending score: 3.26; stars gained: +65; forks gained: +10.
Language: Python
Topics: agent-framework, agentic-ai, agents, ai, multi-agent, orchestration
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
GitHub repository with 3,776 stars and 527 forks.
Trending score: 3.08; stars gained: +29; forks gained: +8.
Language: Python
Topics: agentic-ai, embodied-ai, reinforcement-learning, rl-infra, rlinf, vla-rl
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
GitHub repository with 5,037 stars and 637 forks.
Trending score: 2.78; stars gained: +19; forks gained: +0.
Language: Python
Topics: agent, agentic-ai, agentic-framework, agentic-rag, agentic-workflow, ai
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
GitHub repository with 20,091 stars and 3,559 forks.
Trending score: 2.68; stars gained: +27; forks gained: +15.
Language: Python
Topics: agent, agentic, agentic-ai, agents, agents-sdk, ai
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
GitHub repository with 86,823 stars and 12,389 forks.
Trending score: 5.94; stars gained: +1,787; forks gained: +253.
Language: Python
Topics: ai, automation, chatgpt, moviepy, python, shortvideo
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
GitHub repository with 40,614 stars and 3,271 forks.
Trending score: 5.82; stars gained: +1,312; forks gained: +87.
Language: Python
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 24,986 stars and 1,636 forks.
Trending score: 5.73; stars gained: +2,844; forks gained: +202.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Self-hosted AI workspace.
GitHub repository with 69,566 stars and 8,797 forks.
Trending score: 5.70; stars gained: +951; forks gained: +165.
Language: Python
The agent that grows with you
GitHub repository with 192,223 stars and 33,510 forks.
Trending score: 5.48; stars gained: +990; forks gained: +282.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 30,710 stars and 2,535 forks.
Trending score: 5.48; stars gained: +775; forks gained: +54.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
GitHub repository with 82,585 stars and 9,523 forks.
Trending score: 4.64; stars gained: +171; forks gained: +18.
Language: Python
Topics: agentic-ai, agentic-retrieval, agentic-search, ai, ai-agents, context-engine
Production-ready platform for agentic workflow development.
GitHub repository with 145,005 stars and 22,820 forks.
Trending score: 4.28; stars gained: +263; forks gained: +42.
Language: TypeScript
Topics: agent, agentic-ai, agentic-framework, agentic-workflow, ai, automation
🌊 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 59,199 stars and 6,830 forks.
Trending score: 4.25; stars gained: +278; forks gained: +54.
Language: TypeScript
Topics: agentic-ai, agentic-framework, agentic-rag, agentic-workflow, agents, ai-agents
The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol
GitHub repository with 34,913 stars and 4,351 forks.
Trending score: 4.11; stars gained: +157; forks gained: +15.
Language: TypeScript
Topics: ai, llm, nextjs, open-source, react, reactjs
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
GitHub repository with 2,610 stars and 346 forks.
Trending score: 3.91; stars gained: +180; forks gained: +23.
Language: Python
Topics: agentic-ai, agentic-workflows, ai-agent, ai-agents, awesome-list, chinese-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
GitHub repository with 61,510 stars and 6,693 forks.
Trending score: 3.81; stars gained: +107; forks gained: +16.
Language: JavaScript
Topics: rag, localai, vector-database, llm, ai-agents, multimodal