neuron-explorer
Qwen3.5‑4B 전용 조향형 뉴런 탐색기, 모든 MLP 뉴런을 밀어 결과를 보관·탐색
에이전트 플랫폼을 구축·실행·관리합니다
Build, run, and manage agent platforms.
개발 도구Python · HTMLGitHub @agno-agi직접 설치운영자 미확인
써 보셨어요? 한 번만 눌러 주세요. 로그인은 필요 없어요.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
설치형 프로젝트는 배포 도메인 없이도 확인할 수 있습니다. 개인 저장소는 GitHub 로그인으로, 조직 저장소는 위의 저장소 확인 파일로 직접 확인해 주세요.
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Build, run, and manage agent platforms.
Agno is a framework and runtime for agent platforms. Build agents, run them as a service, manage your platform using a web UI.
• Build your agent platform using the Agno SDK.
• Run your agent platform using the AgentOS runtime.
• Manage everything using the AgentOS UI.
Agno allows you to own your agent stack. Maintain control of your data, memory, and security posture (JWT-based RBAC), and turn your agent platform into a learning loop with simulations and usage data.
Hand this prompt to your coding agent (Claude Code, Cursor, Codex):README 전문 보기 ↗Agno is a self-driving agent platform. Build agents for your company, product, or customers. Run them as durable services on AgentOS. Put them to work automating company operations.
Agno provides the orchestration and service layer around your agents, making them available in:
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.
Agno is built for coding agents. Start with a pre-built template and give this prompt to your coding agent:
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:
Connect your platform to 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.
Choose a template for your cloud: Docker · Railway · AWS · GCP · Azure · Fly.io · Render · Modal · Helm
| Capability | What you can do |
|---|---|
| Agents and teams | Build agents that use tools, delegate work, and collaborate. |
| Workflows | Control execution with routing, conditions, loops, and parallel steps. |
| Memory and knowledge | Remember users across sessions and retrieve answers from your data. |
| Tools and integrations | Connect agents to APIs, databases, and MCP servers. |
| Durable execution | Persist background jobs and track their status across restarts. |
| Human approval | Review sensitive actions before they run, then approve and continue. |
| Observability | Trace runs, inspect tool calls, and diagnose failures. |
| Scheduling | Run agents, teams, and workflows on recurring schedules. |
| Security | Control access with authentication, roles, and per-user data isolation. |
First, add Agno to your coding agent so it can read the tutorials as you build. Then, learn how to:
Follow Agno on X for releases and demos, or subscribe to The Agno Loop.
See the contributing guide to contribute.
Agno is distributed under the Apache 2.0 license.
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.
| Coding agents | Run Claude and Codex in sandboxes to implement and test changes. |
| Company OS | Organize work into products, projects, tasks, and recurring routines. |