agno-agi/agno

Build, run, and manage agent platforms.

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Summary Information

Updated 27 minutes ago
Added to GitGenius on August 31st, 2026
Created on May 4th, 2022
Open Issues & Pull Requests: 1,293 (+0)
Number of forks: 5,852
Total Stargazers: 41,988 (-1)
Total Subscribers: 237 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 18.0 hours
Mean response time: 7.9 days
90th percentile: 17.2 days
Tracked items: 2,408

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 46% of tracked open issues have had no activity in three months. Only 7% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 635
New in 7 days: 24
Closed in 7 days: 32
Avg open age: 128 days
Stale 30+ days: 471
Stale 90+ days: 281

Recent activity

Opened in 7 days: 19
Closed in 7 days: 29
Comments in 7 days: 13
Events in 7 days: 31

Top labels

  • bug (1,283)
  • enhancement (579)
  • stale (357)
  • good first issue (28)
  • question (28)
  • priority: low (7)
  • needs info (6)
  • needs reproduction (5)

Detailed Description

Agno is a framework and runtime for building, deploying, and managing agent platforms.

The tool addresses the challenge of creating production-ready agent systems by providing an integrated stack that handles agent development, runtime execution, and operational management. Developers build agents using the Agno SDK, deploy them through the AgentOS runtime, and monitor or control them via the AgentOS UI. The framework emphasizes ownership of the complete agent stack, allowing teams to maintain control over data, memory, and security through JWT-based role-based access control. It includes built-in capabilities for storing traces and data in Postgres, running agents as REST services, and creating learning loops through simulations and usage data analysis.

The tool suits teams building multi-agent platforms who want to avoid vendor lock-in and need operational visibility into their agent systems. It works well for projects requiring persistent data storage, audit trails, and team-based access control. The framework supports rapid prototyping through starter templates that can be deployed to Docker, Railway, AWS, GCP, Azure, Fly, Render, Modal, or Kubernetes, allowing the same codebase to target different infrastructure without modification. Developers can start with a simple 20-line agent or build a complete platform depending on their needs.

The project shows active development with regular updates to both the core framework and deployment templates. The maintainers are responsive to issues and pull requests, indicating ongoing engagement with the user base. Documentation is comprehensive and includes multiple entry points for different skill levels and use cases. The codebase demonstrates a focus on developer experience, with tooling designed to reduce friction in both initial setup and ongoing platform management.