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 81,913 stars and 9,431 forks.
Language: Python
Topics: agentic-ai, agentic-retrieval, agentic-search, ai, ai-agents, context-engine, context-management, llm-apps, rag, retrieval-augmented-generation
Trending score 2.16, activity score 2.20, stars gained +88, forks gained +10.
2026-06-04: 81,913 stars and 9,431 forks.
Hindsight: Agent Memory That Learns
GitHub repository with 15,656 stars and 888 forks.
Trending score: 3.63; stars gained: +129; forks gained: +5.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
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 81,913 stars and 9,431 forks.
Trending score: 2.16; stars gained: +88; forks gained: +10.
Language: Python
Topics: agentic-ai, agentic-retrieval, agentic-search, ai, ai-agents, context-engine
KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.
GitHub repository with 119 stars and 4 forks.
Trending score: 2.02; stars gained: +72; forks gained: +3.
Language: Python
Topics: agentic-ai, kv-cache, llm, llm-inference, long-context, quantization
🔍 The hardest search benchmark in the wild — vague, multi-turn, proactive. 200 long-horizon tasks with persona-driven progressive disclosure, scored by verifiable schema-free knowledge-graph evaluation. No vibes, just triplet F1.
GitHub repository with 774 stars and 2 forks.
Trending score: 1.88; stars gained: +100; forks gained: +0.
Language: Python
Topics: agentic-ai, benchmark, llm, proactive-agent, search, search-agent
Multi-harness agentic plugin marketplace for Claude Code, Codex CLI, Cursor, OpenCode, and Gemini CLI
GitHub repository with 36,349 stars and 3,943 forks.
Trending score: 1.80; stars gained: +70; forks gained: +11.
Language: Python
Topics: agent-skills, agentic-ai, agents, ai-agents, anthropic, automation
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
GitHub repository with 32,535 stars and 2,810 forks.
Trending score: 1.76; stars gained: +71; forks gained: +7.
Language: Python
Topics: agentic-ai, agents, ai, ai-agents, context-engineering, information-retrieval
The agent that grows with you
GitHub repository with 180,642 stars and 30,980 forks.
Trending score: 5.79; stars gained: +1,360; forks gained: +322.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported)
GitHub repository with 32,285 stars and 4,901 forks.
Trending score: 4.60; stars gained: +456; forks gained: +73.
Language: Python
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
GitHub repository with 4,876 stars and 484 forks.
Trending score: 4.55; stars gained: +340; forks gained: +27.
Language: Python
Topics: agent-skills, self-evolving-agents
754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
GitHub repository with 13,233 stars and 1,551 forks.
Trending score: 4.53; stars gained: +301; forks gained: +38.
Language: Python
Topics: ai-agents, claude-code, cybersecurity, incident-response, mitre-attack, penetration-testing
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,141 stars and 516 forks.
Trending score: 4.43; stars gained: +415; forks gained: +37.
Language: Python
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
GitHub repository with 130,099 stars and 21,139 forks.
Trending score: 4.42; stars gained: +277; forks gained: +38.
Language: Python
🌊 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 57,840 stars and 6,610 forks.
Trending score: 4.25; stars gained: +221; forks gained: +39.
Language: TypeScript
Topics: claude-code, swarm, agentic-ai, agentic-framework, agentic-rag, agentic-workflow
Production-ready platform for agentic workflow development.
GitHub repository with 143,868 stars and 22,638 forks.
Trending score: 3.73; stars gained: +125; forks gained: +19.
Language: TypeScript
Topics: agent, agentic-ai, agentic-framework, agentic-workflow, ai, automation
Hindsight: Agent Memory That Learns
GitHub repository with 15,656 stars and 888 forks.
Trending score: 3.63; stars gained: +129; forks gained: +5.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
为 DeepSeek 网页版注入类原生工具调用、MCP/Shell 工具、长期记忆、Skill、Agent式持续执行和定时自动化任务
GitHub repository with 492 stars and 54 forks.
Trending score: 2.65; stars gained: +18; forks gained: +4.
Language: TypeScript
Topics: ai-memory, chrome-extension, deepseek, react, typescript, wxt
The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
GitHub repository with 32,113 stars and 4,146 forks.
Trending score: 2.41; stars gained: +20; forks gained: -4.
Language: TypeScript
Topics: agent, agent-native, agentic-ai, agents, ai, ai-agent
Minimal coding agent written in Rust, optimized for memory footprint and performance
GitHub repository with 1,097 stars and 75 forks.
Trending score: 2.28; stars gained: +17; forks gained: +2.
Language: Rust
Topics: agent, agentic-ai, agentic-coding, agents, ai, claude-code