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Clone and run the guided setup:\n   ```bash\n   git clone https:\u002F\u002Fgithub.com\u002Faden-hive\u002Fhive.git\n   cd hive\n   .\u002Fquickstart.sh\n   ```\n2. On Windows use:\n   ```powershell\n   .\\quickstart.ps1\n   ```\n3. Verify:\n   - Open the browser dashboard, create one sample agent, and run it once end-to-end.\n\n## Intro\n\nHive Framework turns natural-language goals into generated agent graphs and dashboards, giving teams a production-minded multi-agent harness.\n\n- **Best for:** teams that want graph generation, dashboards, and MCP-connected business workflows in one harness\n- **Works with:** Python 3.11+, uv workspaces, browser dashboard, LiteLLM-compatible providers, MCP tool integrations\n- **Setup time:** 20-40 minutes\n\n## Practical Notes\n\n- Quant: the repo advertises 102 MCP tools and a uv workspace split across core runtime and tool environments.\n- Quant: the quickstart provisions at least two virtual environments (`core\u002F.venv` and `tools\u002F.venv`) plus encrypted credentials.\n\n## Why it matters\n\nHive is notable because it is opinionated about the harness layer: goal intake, graph generation, execution, observation, and evolution are treated as one loop.\n\n- The quickstart is explicit that `pip install -e .` is the wrong path, which reduces a common failure mode in workspace-style Python repos.\n- The dashboard-first UX is useful when non-framework specialists need to inspect how agents were generated and run.\n- The project emphasizes business-system connectivity through MCP, which is the main difference between a demo agent and a production workflow.\n\n## Rollout pattern\n\n- Use the quickstart script exactly as documented and avoid improvising the install path on first run.\n- Pilot one outcome-driven workflow that touches a single external system before you let Hive generate broader graphs.\n- Treat the browser dashboard as an audit surface: capture screenshots or logs from the first few generated runs.\n\n## Watchouts\n\nBecause Hive generates orchestration structures for you, the main risk is over-trusting generated graphs before you understand the tool permissions and business-system side effects.\n\n### FAQ\n\n**Q: Can I install it with pip editable mode?**\nA: No. The README warns that the project uses a uv workspace layout and that `pip install -e .` will not work correctly.\n\n**Q: What makes it different from a basic agent SDK?**\nA: It includes graph generation, dashboarding, credential handling, and MCP-oriented system integration.\n\n**Q: What is the first validation step?**\nA: Run the quickstart, open the dashboard, and execute one sample agent with limited scope.\n\n## Source & Thanks\n\n> Source: https:\u002F\u002Fgithub.com\u002Faden-hive\u002Fhive\n> License: Apache-2.0\n> GitHub stars: 10,302 · forks: 5,647\n\n---\n\n\u003C!-- ZH -->\n\n## 快速使用\n\n1. 克隆并运行向导式安装：\n   ```bash\n   git clone https:\u002F\u002Fgithub.com\u002Faden-hive\u002Fhive.git\n   cd hive\n   .\u002Fquickstart.sh\n   ```\n2. Windows 请使用：\n   ```powershell\n   .\\quickstart.ps1\n   ```\n3. 验证：\n   - 打开浏览器仪表盘，创建一个示例 Agent，并完整执行一次。\n\n## 简介\n\nHive Framework 试图把自然语言目标自动变成 Agent 图与控制台，为团队提供更偏生产环境的多 Agent harness，减少继续手写、维护和排查零散编排脚本所带来的长期负担。\n\n- **适合谁：** 希望把图式编排、仪表盘与 MCP 业务连接统一在一个 harness 中的团队\n- **可搭配：** Python 3.11+、uv workspace、浏览器仪表盘、LiteLLM 兼容模型与 MCP 工具集成\n- **准备时间：** 20-40 分钟\n\n## 实战建议\n\n- 量化信息：仓库首页直接标出 102 个 MCP tools，并把运行时与工具环境拆成 uv workspace。\n- 量化信息：quickstart 至少会准备 `core\u002F.venv`、`tools\u002F.venv` 和加密凭证存储。 \n\n## 为什么值得收录\n\nHive 的独特点在于它明确把“harness 层”当成产品主体：目标输入、图生成、执行、观测和演化是同一个闭环。\n\n- README 明确提醒不要用 `pip install -e .`，这能避免很多 uv workspace 项目的常见安装坑。\n- 以浏览器仪表盘为中心的交互方式，更适合让非框架开发者也能看懂 Agent 是怎么生成和运行的。\n- 项目强调通过 MCP 连接业务系统，这正是 Demo Agent 与生产工作流之间的关键差别。\n\n## 落地路径\n\n- 第一次部署按 quickstart 原样执行，不要自作主张改安装路径。\n- 先试 1 个只连接单一外部系统的 outcome-driven workflow，再扩展更复杂图。\n- 把浏览器仪表盘当成审计界面，前几次运行务必保留截图或日志证据。 \n\n## 注意事项\n\n因为它会替你生成编排结构，最大的风险是你还没搞清工具权限和业务副作用，就过度信任自动生成的 Agent 图。\n\n### FAQ\n\n**可以直接用 pip editable 安装吗？**\n答：不行。README 已明确说明它是 uv workspace，`pip install -e .` 会导致功能异常。\n\n**它和普通 Agent SDK 的区别是什么？**\n答：它把图生成、仪表盘、凭证管理和 MCP 系统连接一起打包了。\n\n**第一步怎么验证？**\n答：跑 quickstart，打开 dashboard，再执行一个权限有限的示例 Agent。\n\n## 来源与感谢\n\n> Source: https:\u002F\u002Fgithub.com\u002Faden-hive\u002Fhive\n> License: Apache-2.0\n> GitHub stars: 10,302 · forks: 5,647\n","0",[24],{"id":25,"name":26,"slug":27,"icon":28},11,"Scripts","script","📜",false,"b7d9f86083a078b60a12f53478b10a3d08667f3dde3ee88db9925fa7ec774ff7",[32,33,34],"claude_code","codex","gemini_cli","single","quickstart.sh",{"executes_code":29,"modifies_global_config":29,"requires_secrets":38,"uses_absolute_paths":29,"network_access":29},null,{"npm":40,"pip":41,"brew":43,"system":44},[],[42],".",[],[],{"commands":46,"expected_files":47},[],[20],{"asset_kind":27,"target_tools":49,"install_mode":35,"entrypoint":36,"risk_profile":50,"dependencies":51,"content_hash":30,"verification":56},[32,33,34],{"executes_code":29,"modifies_global_config":29,"requires_secrets":38,"uses_absolute_paths":29,"network_access":29},{"npm":52,"pip":53,"brew":54,"system":55},[],[42],[],[],{"commands":57,"expected_files":58},[],[20],{"target":33,"score":60,"status":61,"policy":61,"why":62,"asset_kind":27,"install_mode":35},29,"stage_only",[63,64,65,66,67,68,69],"target_tools includes codex","asset_kind script","install_mode single","markdown-only","policy stage_only","asset_kind script is not activated directly for Codex","trust established",{"author_trust_level":71,"verified_publisher":29,"asset_signed_hash":30,"signature_status":72,"install_count":12,"report_count":12,"dangerous_capability_badges":73,"review_status":74,"signals":75},"established","hash_only",[27],"unreviewed",[76,77],"author has published assets","content hash available",{"owner_uuid":9,"owner_name":10,"source_url":79,"content_hash":30,"visibility":19,"created_at":80,"updated_at":81},"https:\u002F\u002Ftokrepo.com\u002Fen\u002Fworkflows\u002Fhive-framework-outcome-driven-multi-agent-harness","2026-05-12 22:02:44","2026-05-14 00:44:46",[83,133,176,234],{"id":84,"uuid":85,"slug":86,"title":87,"description":88,"author_id":9,"author_name":10,"author_avatar":11,"token_estimate":12,"time_saved":12,"model_used":13,"fork_count":12,"vote_count":12,"view_count":89,"parent_id":12,"parent_uuid":13,"lang_type":15,"steps":90,"tags":91,"has_voted":29,"visibility":19,"share_token":13,"is_featured":12,"content_hash":93,"asset_kind":27,"target_tools":94,"install_mode":35,"entrypoint":95,"risk_profile":96,"dependencies":97,"verification":102,"agent_metadata":105,"agent_fit":116,"trust":118,"provenance":121,"created_at":123,"updated_at":124,"__relatedScore":125,"__relatedReasons":126,"__sharedTags":131},3092,"716fc1ad-c3a2-49ab-a810-3a139949e377","camel-multi-agent-and-tooling-library","CAMEL — Multi-Agent and Tooling Library","CAMEL is an open-source library for multi-agent systems and tools. 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