Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM
GitHub repository with 5,161 stars and 518 forks.
Language: Python
Topics: agentic-ai, computer-vision, documentai, huggingface-transformers, llm, machinelearning, vllm
2026-06-04: 5,161 stars and 518 forks.
Hindsight: Agent Memory That Learns
GitHub repository with 15,664 stars and 887 forks.
Trending score: 3.63; stars gained: +129; forks gained: +5.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
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 172 stars and 5 forks.
Trending score: 2.44; stars gained: +146; forks gained: +5.
Language: Python
Topics: agentic-ai, kv-cache, llm, llm-inference, long-context, quantization
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 81,920 stars and 9,434 forks.
Trending score: 2.16; stars gained: +88; forks gained: +10.
Language: Python
Topics: ai, ai-agents, context-engine, llm-apps, rag, retrieval-augmented-generation
🔍 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 36,355 stars and 3,943 forks.
Trending score: 1.80; stars gained: +70; forks gained: +11.
Language: Python
Topics: agents, anthropic, automation, workflows, orchestration, agent-skills
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
GitHub repository with 32,550 stars and 2,813 forks.
Trending score: 1.76; stars gained: +71; forks gained: +7.
Language: Python
Topics: agentic-ai, agents, ai, ai-agents, context-engineering, llm
The agent that grows with you
GitHub repository with 180,892 stars and 31,027 forks.
Trending score: 5.79; stars gained: +1,360; forks gained: +322.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
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 4,892 stars and 487 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 4,181 stars and 524 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 130,154 stars and 21,149 forks.
Trending score: 4.42; stars gained: +277; forks gained: +38.
Language: Python
Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
GitHub repository with 23,119 stars and 1,836 forks.
Trending score: 4.24; stars gained: +250; forks gained: +17.
Language: Python
Topics: anti-detect, bot-detection, browser-automation, chromium, cloudflare, fingerprint
🌊 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 57,875 stars and 6,618 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 143,882 stars and 22,641 forks.
Trending score: 3.73; stars gained: +125; forks gained: +19.
Language: TypeScript
Topics: ai, gpt, llm, openai, python, rag
Hindsight: Agent Memory That Learns
GitHub repository with 15,664 stars and 887 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 491 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
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 172 stars and 5 forks.
Trending score: 2.44; stars gained: +146; forks gained: +5.
Language: Python
Topics: agentic-ai, kv-cache, llm, llm-inference, long-context, quantization
The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
GitHub repository with 32,180 stars and 4,152 forks.
Trending score: 2.41; stars gained: +20; forks gained: -4.
Language: TypeScript
Topics: agent, agent-native, agentic-ai, agents, ai, ai-agent