agno-multi-modal-agent-runtime-platform

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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.

AI & Automation 19 stars 14 forks Updated today MIT

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Skill Content

# Agno Multi-Modal Agent Runtime Platform 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](https://docs.agno.com/runtime/human-approval). Pause runs for user confirmation. Block tools that require admin approval. - [Deploy anywhere](https://docs.agno.com/runtime/deploy). Run on any cloud platform that runs containers. Docker, Railway, AWS, GCP. Basic usage or getting-started notes: - Build, run, and manage agent platforms.<br/> - Run them as production services with tracing, scheduling, and RBAC. - 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. - Source: https://github.com/agno-agi/agno - Extracted from upstream docs: https://raw.githubusercontent.com/agno-agi/agno/HEAD/README.md ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/agno-multi-modal-agent-runtime-platform/)

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Author
agentskillexchange
Repository
agentskillexchange/skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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