Agent 开发框架

Agno|自管理型AI Agent平台与AgentOS运行时

Agno

Agno是一个自管理型Agent平台,用于构建Agent、团队与工作流,并通过AgentOS提供API、MCP、鉴权、审批与持久执行等运行能力。

获取与使用

需要部署

按官方资料自行安装或部署

使用难度待核验
国内可用性待核验

2026-11-09 更新 · 本站尚未实测

项目介绍

Agent 开发框架 · 2026-11-09 更新 · 本站尚未实测

Agno 将其自身描述为“The self-managing agent platform”,即自管理型 Agent 平台。按 README 的说明,它的定位不是单个 Agent 或单个工具,而是围绕 Agent 的编排与服务层:使用 Agno、Claude Agent 或 Codex SDK 构建 Agent,把 Agent 组合成团队和 workflows,再通过 AgentOS 以持久服务的形式运行。

平台对外提供三类落地方式:在自有产品中通过 REST API 调用;在 Claude 和 ChatGPT 中通过 MCP server 使用;在 Slack 等聊天应用中通过 Agno Interfaces 使用。README 强调可在自有云中运行平台并保留数据控制权,并可通过 AgentOS UI(os.agno.com)查看对话、追踪、知识与 Agent 活动。仓库元数据标注语言为 Python,未归档。

核心能力

点击能力名称查看输入、输出和原文依据。

  • Agent 与团队:构建可使用工具、分派任务并协作的 Agent。
  • Workflows:通过路由、条件、循环和并行步骤控制执行流程。
  • Memory 与知识:跨会话记住用户,并从自有数据中检索答案。
  • 工具与集成:连接 API、数据库和 MCP server。
  • 持久执行:持久化后台任务并跨重启跟踪状态。
  • 人工审批:在敏感操作执行前进行审核、批准后继续。
  • 可观测性:追踪运行、检查工具调用、诊断失败。
  • 调度:按周期计划运行 Agent、团队与 workfows。
  • 安全:通过鉴权、角色和按用户数据隔离控制访问。
  • 编码 Agent:在沙箱中运行 Claude 与 Codex 来实现与测试改动。
  • Company OS:把工作组织为产品、项目、任务和周期性例程。

实际应用场景

适用场景

README 给出的典型用途包括:为公司、产品或客户构建 Agent;把 Agent 作为持久服务运行并对外提供 API 或 MCP 接口;用 Company OS 将公司运营工作分配为可复用的职责与例程,由人设定方向并审核结果。适合需要编排层、需要审批与追踪、需要把 Agent 接入自有产品或聊天工具的团队。

需要注意:Agno 是需要部署与运维的服务型平台,而非可直接下载运行的现成工作流文件。

安装与接入

README 未在正文给出 pip 等安装命令,而是建议从预置模板开始,把一段提示交给编码 Agent 执行。原文给出的提示为:

Help me set up my agent platform and build my first agent.

Clone https://github.com/agno-agi/agentos-railway into a folder called agent-platform, cd into it, and follow .agents/skills/setup-platform/SKILL.md.

按原文,setup skill 会在本地运行平台并帮助构建第一个 Agent,包含 API server 与 MCP server、用于对话/记忆/平台活动的 PostgreSQL 存储、OS Manager、Claude 与 Codex 工程师、构建与评估 Agent 的 Skills,以及带每日维护例程的 Company 工作区。之后可将平台连接到 os.agno.com 使用。

云模板包括 Docker、Railway、AWS、GCP、Azure、Fly.io、Render、Modal 与 Helm,均以独立仓库链接形式给出。具体安装命令请以对应模板仓库与文档为准,本页不代填未在资料中出现的命令。

使用条件与限制

是否需要部署
需自行准备运行环境,具体要求见正文
是否需要注册
账号和认证要求见正文;未明确说明的项目仍待核验
是否需要 API Key
待核验
费用与额度
费用边界见正文,项目许可不代表模型或托管服务免费
所需权限
待核验
许可证与服务条款
待核验

权限费用与限制

国内使用情况

网友核验 用户经验分享

与站长实测独立,不代表官方认证或本站已实测。

我要核验
0 位参与者0 份有效分项记录

最近核验:暂无有效核验。参与人数按当前项目有效身份去重;不同核验项分别统计,不合并成用户总结果。仅统计审核通过且未过期的记录。

分项统计、有效期与样本量
核验项目有效人数成功 / 部分 / 失败 / 无法判断成功率最近核验 / 有效期
官方网站访问00 / 0 / 0 / 0样本不足暂无 / 7 天
GitHub 仓库访问00 / 0 / 0 / 0样本不足暂无 / 7 天
安装与运行00 / 0 / 0 / 0样本不足暂无 / 30 天
官方服务国内连接 / MCP 连接00 / 0 / 0 / 0样本不足暂无 / 30 天
国内网络情况00 / 0 / 0 / 0样本不足暂无 / 7 天
国内模型兼容性00 / 0 / 0 / 0样本不足暂无 / 30 天
自定义 API00 / 0 / 0 / 0样本不足暂无 / 30 天
海外服务依赖
00 / 0 / 0 / 0样本不足暂无 / 30 天
海外账号要求
00 / 0 / 0 / 0样本不足暂无 / 30 天
中文界面
00 / 0 / 0 / 0样本不足暂无 / 30 天
客户端兼容性00 / 0 / 0 / 0样本不足暂无 / 30 天
账号及费用信息
00 / 0 / 0 / 0样本不足暂无 / 30 天

成功率 = 成功 ÷(成功 + 部分成功 + 失败);无法判断不计入分母。至少 5 份可判断结果才显示成功率。账号、费用、海外依赖与语言等事实项,成功表示核查结论与资料吻合,具体观察另行统计;不表示免费或没有海外依赖。不同网络、客户端和版本的结果不能直接等同。

最近有效核验

暂无审核通过且未过期的网友核验。欢迎提交真实使用记录。

查看全部有效核验 →

国内实测状态:国内可用性待核验。协议兼容和官方资料说明不等于国内网络可用。

官方网站访问
尚未实测 待核验
GitHub 仓库访问
尚未实测 待核验
官方服务国内连接
尚未实测 待核验
国内网络情况
尚未实测 待核验
国内模型兼容性
尚未实测 待核验
自定义 API
尚未实测 待核验
海外服务依赖
尚未实测 待核验
海外账号要求
尚未实测 待核验
中文界面
尚未实测 待核验
国内最后核验时间
尚未实测

许可与国内使用

仓库根目录提供 Apache License 2.0 许可证文件,README 亦声明 Agno 以 Apache 2.0 分发。该许可适用于仓库代码;README 中提及的托管服务(如 os.agno.com)、第三方模型与云平台模板可能适用各自条款,开源仓库不等于相关服务或模型免费。国内使用方面,资料未说明部署地域、合规或本地化支持,需以官方文档与自身合规要求核验。

项目资料与来源

官方网站 ↗

GitHub 仓库 ↗

官方文档 ↗

字段依据与待核验事项

access:来源确认 · Clone https://github.com/agno-agi/agentos-railway into a folder called agent-platform, cd into it, and follow .agents/skills/setup-platform/SKILL.md.

project_type:来源确认 · Agno is a self-managing agent platform. Build agents for your company, product, or customers. Run them as durable services on AgentOS.

原始 README(折叠技术参考)
<div align="center" id="top">
  <a href="https://agno.com">
    <picture>
      <source media="(prefers-color-scheme: dark)" srcset="https://agno-public.s3.us-east-1.amazonaws.com/assets/logo-dark.svg">
      <source media="(prefers-color-scheme: light)" srcset="https://agno-public.s3.us-east-1.amazonaws.com/assets/logo-light.svg">
      <img src="https://agno-public.s3.us-east-1.amazonaws.com/assets/logo-light.svg" alt="Agno">
    </picture>
  </a>
</div>

<p align="center">
  The self-managing agent platform<br/>
</p>

## Introduction

Agno is a self-managing agent platform. Build agents for your company, product, or customers. Run them as durable services on AgentOS. Put them to work automating company operations.

- **Build** agents with the Agno, Claude Agent, or Codex SDKs. Combine agents into teams and workflows.
- **Run** agents as durable services with built-in API and MCP. AgentOS handles authentication, role-based access, resume/replay, human approvals, scheduling, and durable execution.
- **Automate** company operations with Company OS. Give agents responsibilities, organize work into projects and tasks, and configure recurring routines. People set direction and review results; agents own and execute.

Agno provides the orchestration and service layer around your agents, making them available in:

1. **Your product:** using the REST API.
2. **Claude and ChatGPT:** using the MCP server.
3. **Chat apps like Slack:** using Agno Interfaces.

Run your platform in your own cloud and keep your data in your control. Review conversations, inspect traces, manage knowledge, and track your agent activity using the [AgentOS UI](https://os.agno.com).

## Get started

Agno is built for coding agents. Start with a pre-built template and give this prompt to your coding agent:

```text
Help me set up my agent platform and build my first agent.

Clone https://github.com/agno-agi/agentos-railway into a folder called agent-platform, cd into it, and follow .agents/skills/setup-platform/SKILL.md.
```

The setup skill runs your platform locally and helps you build your first agent. You get:

- An API server and MCP server.
- PostgreSQL storage for conversations, memory, and platform activity.
- OS Manager to help build and manage your platform.
- Claude and Codex engineers to work on your code.
- Skills for building, evaluating, and improving agents.
- A Company workspace for organizing ongoing work, with a daily maintenance routine that reviews your codebase and Agno releases and proposes platform improvements.

Connect your platform to [os.agno.com](https://os.agno.com) to start using it. Build agents with code, use the no-code UI, or chat with the OS Manager.

Start improving your agents and platform with the `/improve` skill. Keep useful changes and regression tests so each round builds on the last. When you're ready, configure scheduled improvement runs in a sandbox that return pull requests for review.

## Templates for every cloud

Choose a template for your cloud: [Docker](https://github.com/agno-agi/agentos-docker) · [Railway](https://github.com/agno-agi/agentos-railway) · [AWS](https://github.com/agno-agi/agentos-aws) · [GCP](https://github.com/agno-agi/agentos-gcp) · [Azure](https://github.com/agno-agi/agentos-azure) · [Fly.io](https://github.com/agno-agi/agentos-fly) · [Render](https://github.com/agno-agi/agentos-render) · [Modal](https://github.com/agno-agi/agentos-modal) · [Helm](https://github.com/agno-agi/agentos-helm)

## What's included

| Capability | What you can do |
| --- | --- |
| **[Agents](https://docs.agno.com/agents/overview) and [teams](https://docs.agno.com/teams/overview)** | Build agents that use tools, delegate work, and collaborate. |
| **[Workflows](https://docs.agno.com/workflows/overview)** | Control execution with routing, conditions, loops, and parallel steps. |
| **[Memory](https://docs.agno.com/memory/overview) and [knowledge](https://docs.agno.com/knowledge/overview)** | Remember users across sessions and retrieve answers from your data. |
| **[Tools and integrations](https://docs.agno.com/tools/overview)** | Connect agents to APIs, databases, and MCP servers. |
| **[Durable execution](https://docs.agno.com/agent-os/background-execution/durable-queue)** | Persist background jobs and track their status across restarts. |
| **[Human approval](https://docs.agno.com/hitl/overview)** | Review sensitive actions before they run, then approve and continue. |
| **[Observability](https://docs.agno.com/agent-os/tracing/overview)** | Trace runs, inspect tool calls, and diagnose failures. |
| **[Scheduling](https://docs.agno.com/agent-os/scheduler/overview)** | Run agents, teams, and workflows on recurring schedules. |
| **[Security](https://docs.agno.com/agent-os/security/overview)** | Control access with authentication, roles, and per-user data isolation. |
| **[Coding agents](https://docs.agno.com/agent-platform/harness-agents)** | Run Claude and Codex in sandboxes to implement and test changes. |
| **Company OS** | Organize work into products, projects, tasks, and recurring routines. |

## Tutorials

First, [add Agno to your coding agent](https://docs.agno.com/coding-agents) so it can read the tutorials as you build. Then, learn how to:

- [Build your agent platform](https://docs.agno.com/agent-platform/overview)
- [Serve agents as an API](https://docs.agno.com/tutorials/agents-as-api)
- [Serve agents over MCP](https://docs.agno.com/tutorials/agents-as-mcp)
- [Run Claude and Codex as services](https://docs.agno.com/tutorials/harnesses-as-a-service)
- [Read the documentation](https://docs.agno.com)

## Community

Follow [Agno on X](https://x.com/AgnoAgi) for releases and demos, or subscribe to [The Agno Loop](https://www.agno.com/the-agno-loop-newsletter).

See the [contributing guide](CONTRIBUTING.md) to contribute.

## License

Agno is distributed under the [Apache 2.0 license](LICENSE).

## Telemetry

Agno sends a telemetry event per agent so we know which model providers to prioritize. Prompts, messages, and outputs are never sent. Disable by setting `AGNO_TELEMETRY=false`.

<p align="right"><a href="#top">↑ Back to top</a></p>
历史前置条件说明(补充参考)

需 Python 环境并进行服务端部署(仓库语言为 Python);按模板需 PostgreSQL 存储;调试与使用需访问 os.agno.com 等境外服务;Claude Agent、Codex 等能力可能需要相应账号与密钥;模型提供方、API Key 与费用资料未说明,待核验。

项目来源与清单版权许可

https://github.com/agno-agi/agno

整理来源:https://github.com/slavakurilyak/awesome-ai-agents

清单版权与许可:

MIT License

Copyright (c) 2024 Slava Kurilyak

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.