MemPrivacy is a privacy-preserving personalized memory management framework for edge-cloud agents.
GitHub repository with 102 stars and 6 forks.
Language: Python
Topics: agent, agent-memory, ai, edge-cloud, information-extraction, information-security, langmem, llm, long-term-memory, mem0
Trending score 0.00, activity score 0.00, stars gained +0, forks gained +0.
2026-06-04: 102 stars and 6 forks.
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 12,066 stars and 787 forks.
Trending score: 3.28; stars gained: +2,887; forks gained: +157.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
GitHub repository with 2,864 stars and 202 forks.
Trending score: 3.25; stars gained: +86; forks gained: +8.
Language: Python
Topics: agent, ai, ai-agents, deep-learning, foundation-models, llm
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
GitHub repository with 926 stars and 92 forks.
Trending score: 3.18; stars gained: +75; forks gained: +6.
Language: Python
Topics: agent, ai-agents, chromadb, claude, claude-code, cursor
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
GitHub repository with 70,459 stars and 9,532 forks.
Trending score: 2.08; stars gained: +99; forks gained: +12.
Language: Python
Topics: agent, agentic, agentic-framework, agentic-workflow, ai, ai-agents
Modular SenseNova skills for building AI-powered office assistants and productivity workflows
GitHub repository with 3,395 stars and 243 forks.
Trending score: 1.90; stars gained: +102; forks gained: +7.
Language: Python
Topics: agent, agent-skills, ai-agents, ai-assistant, data-analysis, document-processing
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
GitHub repository with 65,759 stars and 5,880 forks.
Trending score: 1.89; stars gained: +80; forks gained: +7.
Language: Python
Topics: agent, deepseek, fine-tuning, gemma, gemma3, gpt-oss
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 485 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
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
GitHub repository with 78,182 stars and 15,370 forks.
Trending score: 3.74; stars gained: +42; forks gained: +12.
Language: TypeScript
Topics: agent, agent-collaboration, agent-harness, ai, cao, chatgpt
Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics
GitHub repository with 7,278 stars and 909 forks.
Trending score: 3.74; stars gained: +133; forks gained: +15.
Language: TypeScript
Topics: agent, ai-agent, chat-ui, dashboard, hermes, hermes-agent
Production-ready platform for agentic workflow development.
GitHub repository with 143,870 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
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
GitHub repository with 498 stars and 79 forks.
Trending score: 3.43; stars gained: +84; forks gained: +10.
Language: TypeScript
Topics: agent, agents, ai, android, automation, benchmark
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 12,066 stars and 787 forks.
Trending score: 3.28; stars gained: +2,887; forks gained: +157.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
GitHub repository with 2,864 stars and 202 forks.
Trending score: 3.25; stars gained: +86; forks gained: +8.
Language: Python
Topics: agent, ai, ai-agents, deep-learning, foundation-models, llm