What is Agno?
Agno provides an orchestration and service layer for AI agents built with the Agno, Claude Agent, or Codex SDKs. Agents can use tools, delegate work, collaborate in teams, and follow workflows with routing, conditions, loops, and parallel steps. Memory and knowledge features support cross-session context and retrieval from application data.
AgentOS runs agents as durable services with authentication, role-based access, human approvals, scheduling, and tracing. Its web interface supports conversation review, knowledge management, and activity inspection. Deployment templates support local operation and infrastructure controlled by the operator, including self-hosted Docker. Company OS adds projects, tasks, and recurring routines for ongoing agent work.
Agno is distributed under the Apache 2.0 license and ships with SDKs for building agents, teams and workflows. The project says teams can run the platform in their own cloud and keep their data in their control, and it provides the AgentOS UI for reviewing conversations, inspecting traces and managing knowledge.
Key capabilities
- Agent orchestration Combines tool-using agents into teams and workflows with conditional routing and parallel execution.
- Memory and knowledge Retains user context across sessions and retrieves information from application data.
- Service interfaces Exposes agents through REST APIs, MCP, and chat interfaces such as Slack.
- Durable execution Persists background jobs and tracks their status across service restarts.
- Execution controls Supports human approvals, authentication, roles, and per-user data isolation.
- Operations Provides run tracing, tool-call inspection, recurring schedules, and task organization through Company OS.
Where Agno fits
Agno fits into products that expose agents through an API, internal assistants accessed through Claude or ChatGPT, and recurring operational workflows managed through Company OS. The Docker template includes PostgreSQL storage and an OS Manager for building and managing agents through chat or the interface.
Before production deployment, operators should verify model credentials, usage costs, HTTPS routing, token enforcement, and database persistence. Coding agents require particular attention: without a sandbox, they run with the API host's file and credential access. Saved database conversations do not reconstruct an engineering workspace, and checkpoint recovery does not guarantee safe replay of external actions.
Reviews of Agno
Be the first to share your experience with Agno.
Write a review
Loading review form…
Alternatives to Agno
CrewAICrewAI is an MIT-licensed open-source Python framework for orchestrating multi-agent AI workflows; CrewAI Enterprise adds a hosted runtime with a free Basic tier and custom-priced governance features.
LangChainLangChain is an MIT-licensed open-source framework (Python/JS) for building LLM applications and agents via LangGraph; LangSmith adds optional hosted tracing, evaluation and deployment.