Chisle
Cut your AI coding agent's token bill on three axes: terse prose, YAGNI-first code, and tool-output compression. Claude Code, Pi, Cursor, Codex, Gemini + 4 more. Zero deps, published benchmarks including the runs it loses.
An AI agent is a program that uses a language model to decide what to do next, calls tools such as a browser, a code interpreter or an API, and repeats until the task is done. The projects here range from frameworks for building your own agents to finished agents that write code, browse the web or run business workflows.
Compare three things. Which models it can use: a single provider, or any OpenAI-compatible endpoint including local ones. How it limits what the agent may do: sandboxing, approval steps and permission lists. And whether it keeps memory between steps and sessions. An agent that runs code or shell commands should run in a sandbox, so check that before giving it access to your machine.
Cut your AI coding agent's token bill on three axes: terse prose, YAGNI-first code, and tool-output compression. Claude Code, Pi, Cursor, Codex, Gemini + 4 more. Zero deps, published benchmarks including the runs it loses.
MAX API Next 社区是由来自科研机构和高校的 AGI 爱好者组织发起、维护和运营的研究驱动型技术社区,聚焦 AI Models 与 Agents 治理方向,致力于建设面向 AGI 应用时代的开放基础设施。社区关注多模型与多平台接入、国产模型持续适配、AgentOps 工程实践、成本审计、权限与安全边界、私有化部署和长期运营优化,目标是把模型服务、Agent 应用、用户组织和上游平台之间的共性治理问题沉淀为稳定、可复用、可持续演进的工程能力。
memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw
Portable agent skill for research-style editable draw.io diagrams and screenshot-driven refinement
WeSight Obsidian plugin for local agent runtimes.
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
Customer-run client for Secure MCP Tunnel: connect private or localhost MCP servers to ChatGPT, Codex, the Responses API, and AgentKit without exposing them to the public internet.
红狐数据(RedFoxHub) 技能合集:面向 Agent 的可复用 SKILL 集合,覆盖灵感、选题、文案创作、数据复盘等场景,持续更新。
Skills for Film and Television Creation Agents|31 个影视创作评估策划Agent Skills|AI影视自动化工作流|竖屏短剧长剧IP改编|情节题材提炼|剧本小说IP创作策划评估|人物小传|拉片人物剧集故事五元素分析|大纲生成|
Pi — A cross-platform AI coding agent, bringing the Claude Code experience to your desktop. No environment setup, no terminal commands. Download and start coding right away.
A tiny macOS app that turns Caps Lock into a physical keep-awake switch for closed-lid MacBook work.
Ghost Security's collection of AppSec skills for AI coding agents
A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.
🔥🔥🔥 📚 本代码库是作者冰河多年从事互联网大厂开发、架构的学习历程技术汇总,旨在为大家提供一个清晰详细的学习教程,侧重点更倾向编写AI、Agent、AI项目、Java和Go核心内容、底层原理、架构知识、渗透技术。如果本仓库能为您提供帮助,请给予支持(关注、点赞、分享)!
A TypeScript CLI framework that ships your commands as a CLI, agent skills, and MCP.
ExploitBench measures how far AI agents climb, from reaching vulnerable code, to triggering the bug, to building exploit primitives, to arbitrary code execution.
Semantic code search and context engine for AI coding agents.
Battle-tested agent skills mapping the footguns of Kotlin, Compose Multiplatform and the desktop JVM — mined from a production music app, not from documentation.
A command-line tool to give your agents access to any app, create workflows and manage your One account.
是一层高自由度的玻璃质感主题,套在 DeepSeek Harness 网页端。顶栏、侧边栏、输入框、统计行、轨迹视图都成了磨砂玻璃片。玻璃模糊度、磨砂度、背景(流体或自定义壁纸,壁纸还能单独调模糊和磨砂)全都能在设置卡片里自由调节。关掉开关就回到原生界面,不改 DSH 任何一行源码。
clawdcursor compiles whatever's on screen into one UI map — accessibility tree and OCR fused into stable, addressable elements, with a screenshot only when needed — then drives apps through reusable scripts, verifying every action and routing it through a single safety gate.
Job OK: 面向中文求职者的证据驱动求职 Agent Skill,支持优势挖掘、岗位匹配、简历优化、面试训练和投递跟踪。
🦜🔗 LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI)
Veldra — talk an agent into existence, then watch it grow. A self-hostable, local-first agent platform: describe what you need in plain language and it compiles a working agent tools, MCP, RAG, teams. The more you use it, the better it gets agents learn from your feedback and reshape as you talk.