Agno

An open-source Python framework for building AI agents and multi-agent teams with knowledge retrieval, MCP support, and multi-provider models.

Agno · Agent frameworks and orchestration · framework

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Overview

Agno is an open-source framework for building AI agents and agent teams, with session management, workflow orchestration, Model Context Protocol (MCP) support, and multi-provider model access. It moved to the Apache 2.0 license with its v2.5.0 release (February 2026), which added Team Modes and human-in-the-loop support for teams. Its v2.6.10 release (June 2026) added a knowledge-retrieval pipeline with an MMR reranker, a recency reranker blending search scores with timestamp decay, typed page-tool results with explicit error/completeness metadata, and Y-API support as an OpenAI-compatible model provider.

This is a sourced directory entry. Features and capabilities are reported in the linked sources; this entry does not document independent Aymorphic testing.

Key features

  • Multi-agent team orchestration with configurable Team Modes and human-in-the-loop support
  • Knowledge-retrieval pipeline with MMR reranker for relevance/diversity balance
  • Recency reranker blending search relevance with timestamp decay
  • Model Context Protocol (MCP) support and multi-provider model access
  • Typed page-tool results with explicit error and completeness metadata

Use cases

  • Building production multi-agent systems with shared knowledge retrieval
  • Coordinating human-in-the-loop review over agent teams
  • RAG-style knowledge workflows needing both relevance and recency ranking

Pricing

Free and open source under the Apache 2.0 license.

Pricing reflects the source record and may change. Confirm current terms with the provider.

Dates and sources

Released
Not listed
Record updated
25 Sept 2026
Record last checked
25 Sept 2026

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