Trending AI repositories
Tracked daily across the agentic ecosystem. Velocity is computed from our own snapshot history — collecting the first week of data now; repos are linked to the startups behind them.

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

Token efficient Claude Code full Python rebuild. AI Coding Agent in 260K LoC pure Python. Up to 200X Cost Saving!

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

Open-source local-first AI agent for desktop work. No account, no telemetry: use local models with Ollama/Rapid-MLX or bring your own provider key.

Give Claude/Cursor email powers. 27 MCP tools — inbox, send, reply, contacts, search. Free, no signup.

Shell and coding agent on mcp clients

wanman is an open-source agent matrix runtime inspired by Japanese one-man trains. It lets human users step back into an observer role while local agent runtimes coordinate autonomous multi-agent workflows, task execution, and artifacts.

Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs.

The AI agent that lives in your framework/browser

Personal-Model First Self Evolving AI Agent 🐘

A secure* runtime for autonomous AI agents. Policy from plain-English constitutions. (*https://ironcurtain.dev)

A minimal modern terminal for AI coding experience — Sidebar workspaces; horizontal / vertical split panes; one-click agent launch; per-agent activity readout; live workspace state with one-click Node and branch switching.

Your AI friend right in your browser

企业级 AI 资源纳管平台,提供统一 AI网关,纳管 OpenAI、Azure、Claude、DeepSeek 等主流模型,并支持 MCP 工具与 Skill 的集中注册分发。具备内外双轨定价、成本归因、统一身份认证、安全审计与效能报表,帮助企业精准控制成本、量化 ROI,高效治理 AI 资产。

🔥🔥🔥 Turn AI-written code into real apps. Nubase is an open-source, AI-native backend platform for AI Coding, agentic applications, and modern product teams: Memory, Database, Storage, and Auth in one self-hostable service.

An AI creative platform for novel writing and AI generated RPG, with built-in support for AI agents, Skills, subagent workflows, automations, image generation, and version control. 一个面向小说创作与 AI 角色扮演游戏的 AI 创作平台,内置支持 AI Agents、Skills、Subagent Workflows、Automations、图像自动生成与项目版本管理等核心能力

Inference-native Tokenmaxxing Agent Harness for Loop Engineering

This project is an AI Agent orchestration platform. It uses an LLM-driven decision engine, combined with capabilities (built-in tools, MCP protocol, CLI execution, browser operations, etc.), to achieve a basic closed loop from perception → planning → execution → feedback.本项目是一个面向 AI Agent 编排平台。它通过 LLM 驱动的决策引擎,结合能力(内置工具、MCP 协议、CLI 执行、浏览器操作等)

SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning

UI layer for the native Hermes orchestration features

Self-hosted AI novel generator: single Go binary + web UI. OpenAI-compatible API → outline → chapter-by-chapter writing with review, foreshadowing, fact-check, and full-book polish. Chinese & English.

A stunning, localized, general-purpose AI Agent for Android. | Aether 扶摇

deepseek标配coding agent、原生支持模型路由、CodeGraph代码图谱、OCR截图识别、自动上下文压缩、最佳工作模式选择,workflow等功能,从根本上节省Token

Linux desktop control over MCP — AT-SPI, GNOME Shell, Wayland portals, ydotool

LLMInternSkill: LLM internship resume and job-search Codex Skill for resume polish, JD tailoring, evidence guard, interview grilling, and Project Scout. 大模型实习简历与求职工具箱。

企业级 AI 智能体 Agent 平台,覆盖智能对话、文档知识问答、联网搜索、RAG 检索、MCP 工具协议、Skills 扩展等完整能力。三层执行器体系、双通道混合检索、组合式切块引擎、会话记忆管理、全链路可观测,每个环节都经过深 度设计和工程化打磨。

AI features for Rhino

A provider-agnostic scaffolding kit for running structured multi-agent workflows in your codebase.

A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.

🤖 Building AI Agent Systems from Scratch — A comprehensive, practical tutorial from fundamentals to production-grade multi-agent applications