DSH Plugin Radar — open-source ecosystem radar for DeepSeek Harness plugins: continuous discovery (21k+ candidates), k8s runtime validation (13k+ tests), 15-min snapshots; the catalog is a generated artifact — 开源 DSH 插件生态雷达:持续发现 2.1 万+ 候选、k8s 运行级实测 1.3 万+、15 分钟快照;插件目录为自动生成的产物
The Tavily Python SDK allows for easy interaction with the Tavily API, offering the full range of our search, extract, crawl, map, and research functionalities directly from your Python programs. Easily integrate smart search, content extraction, and research capabilities into your applications, harnessing Tavily's powerful features.
Curated directory of terminal-native AI coding agents and the harnesses that orchestrate them. Covers open-source tools (Pi, OpenCode, Aider, Goose), platform agents (Claude Code, Codex, Gemini CLI), parallel runners, autonomous loops, and agent infrastructure.
AgentSociety 2 is a modern, LLM-native agent simulation platform designed for social science research and experimental design. It provides a flexible framework for creating and managing intelligent agents in simulated environments.
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
🏆 Ranked list of 167 AI agent harnesses, plus templates, playbooks, MCP, and learning resources. Rescored weekly.
Self-evolving second brain with 35 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework. Plus paired anti-slop design skills for marketing and product UI. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.
Context drive for your AI agents
Zetta is an efficient closed-loop embodied harness for self-evolving physical intelligence. It evolves code-based runtime critics and recovery skills online while keeping the base policy frozen. Project Page: https://air-embodied-brain.github.io/zetta/
为纯文本模型"看图“设计更好的视觉工具箱和技能,支持多图理解,图片问答,前端UI还原、GUI 自动化等,并可选无缝接入多个主流agent,直接识别粘贴图片| A vision toolkit and skill designed for text-only llms — image Q&A, long-screenshot OCR, frontend UI restoration, and GUI automation, with optional seamless integration for Codex, Claude Code, Pi, Oh My Pi, and OpenCode
DeepSeek Harness (DSH) ecosystem: curated plugins, tools, and infrastructure from dsh-external/hub and the public dsh-plugin topic.
Learn AI agents from scratch.
Cybersecurity Harness
CUGA is an open-source generalist agent harness for the enterprise, supporting complex task execution on web and APIs, OpenAPI/MCP integrations, composable architecture, reasoning modes, and policy-aware features.
Python wrapper for AutoHotkey with full type support. Harness the automation power of AutoHotkey with the beauty of Python.
EvoOntology: A Self-Evolving Ontology Layer for Data Agents ⚙️ EvoOntology插件为Claude Code/Codex 建立&进化本体层
The simplest, thinnest harness that gives an LLM complete freedom to control a Mac.
RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
Cayu is an open-source Python framework for building and running domain-specific long-horizon agents, with a durable runtime built in.
AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
Agentic RL on Any Harness at Scale
Open-source AI teammates in Slack, Teams, Discord, Telegram and Mattermost. Self-host it, with any agent harness and any model.
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.
Home of test harnesses used in LTT Labs MarkBench
CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems
Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.
Agentic AI security scanner that hunts exploitable vulnerabilities like an adversary, proves them with executable PoCs, and fixes them test-first. A maintained fork of Capital One's VulnHunter, rebuilt for any agent harness.
开源、本地优先的求职 Agent:管理投递、准备面试与整理 Offer;附 Agent Loop、Harness 源码导读和动手实验。
QuietHarness:Claude Code、Codex、Cursor 共用的轻量 AI 工作系统
不是问答机器人,而是能真正干活的数字分身。共享智能体,共享项目上下文,让项目所有成员一起协同工作。同时智能体会像人一样通过资料或者工作抽象和总结经验到项目上下文中
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
Learn harness engineering by building Claude Code from scratch. Free, open-source course: 8 articles, 6 videos, 1 codebase.
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One framework to evaluate any VLA model on any robot simulation benchmark.
Governance standard and reference toolset for LLM-maintained knowledge corpora
Code-rendered TUI fan PV for Mili world.execute(me); with a DeepSeek Harness-style chat window. MIT code; CC BY-NC-SA 4.0 artwork.
HugAgentOS: The Self-Evolving AgentOS for Ontology-Grounded Trustworthy Reasoning
Local-first memory, decision engine, and governance harness for AI agents — portable across IDEs. Own the state. Rent the intelligence.
Project Muteki (無敵): Open-source AI-powered offensive security harness for automated penetration testing.
Multiplayer harness that shapes around your work. Agents, apps and workflows your team shares, used from Slack, Telegram, WhatsApp, Teams, Email, Web or your own AI agent.
CTX Fit finds the cheapest AI coding setup that reliably works on your repository, then applies the winner as a reviewable change.
Just a VLM Agent Can Play Robots
Long Horizon Terminal Benchmark with Dense Reward Grading
DeepSeek 写网文/小说的工作流插件:DeepSeek Harness 社区插件,内置小说、短剧、游戏、视频解说四个工作台 | Community DeepSeek Harness plugin with novel, short-drama, game and video-recap workbenches.
一个脚本搞定 DSH / WorkBuddy / ZCode / Codex / Cursor / Claude 六客户端的提示词与人格替换:零依赖、双击即用、可自证、改前备份、一键还原。另附【免装 Python 的单文件 exe】;DSH 自动区分官方桌面版 / 社区桌面版。附 bandit/semgrep 扫描与 SHA256 校验。
The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.
LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution.
📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. | https://misakanet.org
handwritten harness for AI, not vibecoded, everything is a module/plugin, tailor made for use with local models, tiny system prompt (around 1k by default), support for exclusive llamacpp features, strong security, strict zero-trust-in-the-ai policy (the code hard limits the ai, no amount of prompt engineering will bypass it)
电子发票整理与报销准备工具:从邮箱批量收集 PDF/OFD/XML 发票,OCR 识别、分类归档并生成 Excel 汇总;提供 Windows/macOS 桌面版与 DSH 插件。
Give AI agents eyes, ears, and verifiable results. Watch Skill turns video, audio and screen activity into searchable, timestamped evidence and proves work with deterministic contracts, not model opinion. DeepWatch is the agent workspace built on DeepSeek Harness. Python + npm, MCP, CLI, REST, Web.
Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.
通过 MCP,让几乎所有桌面 Agent 都能访问 QQ / 微信的本地数据、调用相关功能,甚至直接加入 QQ 群聊变成你的群友!
Harness Engineering 101 — building AI agents from first principles. The LLM is the brain; the harness is the body.
ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
Teaching harness , help you to learn anything , It teaches like real teacher , design curriculum , generate videos , simulations , images , pdfs , tracks your learning style etc
From ticket to reviewed pull request. Free and open-source, on your machine.
The agent flow system for token maxxing.
Turn DeepSeek Harness into a self-hosted enterprise Agent platform with knowledge, deep research, content generation, vibe coding, browser automation, governance, and admin controls.
HarnessEval-W: Agentifying the Evaluation of Visual Worlds