Agno Multi-Modal Agent Runtime Platform
SkillAI & modelsAgno is a high-performance Python framework for building, running, and managing agentic software at scale. It provides a three-layer architecture — framework, runtime, and control plane — enabling developers to go from agent prototype to production API in roughly 20 lines of code.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Agno Multi-Modal Agent Runtime Platform skill
What this skill tells your AI
The instructions your AI receives, as published by agentskillexchange/skills in skills/agno-multi-modal-agent-runtime-platform/SKILL.md and read by ahel’s review.
Agno is a high-performance Python framework for building, running, and managing agentic software at scale. It provides a three-layer architecture — framework, runtime, and control plane — enabling developers to go from agent prototype to production API in roughly 20 lines of code.
Installation
Requirements and caveats from upstream:
- Human approval. Pause runs for user confirmation. Block tools that require admin approval.
- Deploy anywhere. Run on any cloud platform that runs containers. Docker, Railway, AWS, GCP.
Basic usage or getting-started notes:
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Build, run, and manage agent platforms.
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Run them as production services with tracing, scheduling, and RBAC.
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Agno allows you to own your agent stack. Maintain control of your data, context, tools, permissions, memory and human-review loops. Run your platform in your cloud, and manage it using a beautiful UI.
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Source: https://github.com/agno-agi/agno
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Extracted from upstream docs: https://raw.githubusercontent.com/agno-agi/agno/HEAD/README.md
Source
Signals
- GitHub stars
- 38
- Forks
- 53
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
agno-multi-modal-agent-runtime-platform- Source
- github.com/agentskillexchange/skills