Harness
Top open-source Harness AI systems, agents, and MCP tools.
Discover and install verified Harness AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (24)
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Open-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Runtime-neutral driver for Claude Code, Codex, and ACP. Compatible with Claude Managed Agents (CMA) API.
An open-source desktop AI agent built around Cyrene’s persona and powered by the self-developed Cyrene_Harness framework. It combines immersive character chat with practical Agent capabilities for daily tasks, coding assistance, learning, and tools like music and weather.
The most autonomous agent framework. No approval loops. No babysitting. Configure once, forget forever.
A local multi-agent harness that works with your existing Claude Code, Codex subscriptions, allows you to run an office of agents
Open-source AI skill from https://github.com/blogminhquy/javis-os
A temporal context graph, a memory API, retrieval primitives, and a multiple-platform integration mesh — designed to be embedded into any host process.
Open Knowledge Format for coding agents. Author, validate, lint, search, and visualize portable Markdown knowledge bundles. One gem carries the agent skill, the CLI and Ruby library, and an interactive graph. Docker and Claude Code plugin included, 100% local.
Tinybot is a lightweight personal AI Agent that is constantly evolving
AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance, traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax.
Harness engineering beginner tutorial, from 0 to 1
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
AI Agent 开发指南 | Agent Harness | 上下文工程 | 高级 RAG | MCP | Agentic RL 强化学习 | LangGraph 实战 | 1.2 万+ 大模型面试题 | 算法岗 / 开发岗求职 | 转行大模型
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.
天枢 (Tianshu) 是一个基于harness工程的终端编程智能体运行时（TUI），针对DeepSeek V4 做了前缀缓存工程优化（长会话实测稳态命中率 95–99%）和深度适配。它跳出了传统 AI 编程助手把大模型仅当成“工具”的局限，基于认知虚拟机 (CVM)、自感知层和信息素（Stigmergy）自衰减记忆构建，让 AI 成为有独立判断与认知防护的“开发伙伴”。
The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.
天枢harness是一个的终端编程智能体，它要回答的核心问题是：模型何以稳定地交付——目标不漂移、完成有证据、验证有闭环，不说"应该修好了"。为此它在模型与真实世界之间建立一层认知执行环境（CVM），把目标、状态、证据、资源、权限与终止条件从对话历史中外部化，由运行时持续管理。同时对deepseek v4极度优化。
智见 AI 蓝皮书：拆解 WorkBuddy 的提示词、记忆、插件、专家、Skill 与安全边界。
Benzi is code intelligence infrastructure for AI models. It compiles your codebase into a resolved, queryable map of calls, data flow, control flow and class hierarchy first; then it reads, explains, runs, edits and verifies your code using it. Every language runs its own tree-sitter grammar into the same query map.
Build & Monetize for Harness
Have you created an autonomous agent, MCP server, or Claude Code skill for Harness? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.