Understand the project
Practical overview
When it fits
Use Agno when an agent project needs a deployable platform around the agent itself, including APIs, a web UI, integrations, persistent state, scheduling, observability, or access controls.
Who it is for
- Python developers building agent applications
- Teams that need to serve agents through APIs or conversational channels
- Projects requiring persistent sessions, memory, knowledge, traces, or role-based access control
- Organizations deploying self-hosted, Docker, cloud, or server-based agent platforms
Documented uses
- Build and run AI agents with an SDK and runtime
- Expose agents through REST APIs, WebSockets, SSE, and supported interfaces
- Connect agents to tools and context providers such as GitHub, Slack, and Postgres
- Persist sessions, memory, knowledge, and traces through an application-owned database
- Schedule agent jobs and manage background work
Before you choose
Requirements & limits
No pricing or primary-service account requirement is specified.
- Python is the primary language.
- The framework includes the AgentOS runtime and a web UI in addition to its SDK.
- Persistent sessions and traces use an application-owned database.
- Documented interfaces include REST API, WebSockets, SSE, MCP, and OpenTelemetry-related integrations.
- JWT-based RBAC and multi-tenant capabilities are documented.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 30 September 2026
- Original website title
- agno-agi/agno · Official homepage title · retained in its source language