Agno is a Python SDK for building agent platforms. It gives you three primitives (agents, teams and workflows) and a large set of capabilities you can attach to them.
Before running these examples, follow the SDK setup , then install the optional packages and set your model key:
uv pip install -U "agno[openai,sqlite]" yfinance export OPENAI_API_KEY = "your_openai_api_key" from agno.agent import Agent from agno.db.sqlite import SqliteDb from agno.tools.workspace import Workspace workbench = Agent( name = "Workbench" , model = "openai:gpt-5.5" , db =SqliteDb( db_file = "workbench.db" ), tools =[Workspace( "." )], enable_agentic_memory = True , add_history_to_context = True , num_history_runs = 3 , markdown = True , ) workbench.print_response( "Inventory this folder." ) Primitive Use it when What Agno handles Agent One model-driven program can own the task Context, tool calls, sessions, memory, knowledge, and guardrails Team The task benefits from specialist roles or dynamic delegation Coordination, routing, broadcast, task lists, and nested teams Workflow The process needs repeatable steps, branches, loops, or parallel work Control flow across agents, teams, functions, and nested workflows
Capability What it adds Models 30+ providers behind one API Tools 100+ integrations and the ability to write your own Skills Composable abilities you attach to agents and teams Multimodal Image, audio, and video input and output Structured I/O Type-safe input and output with Pydantic schemas
Capability What it adds Storage Session and application data in a supported database Sessions Multi-turn sessions with summaries, history, and metrics State State your agents can read and update mid-run Memory Persistent user facts and preferences Knowledge Search over documents, URLs, and databases Learning Agents that improve over time from feedback and outcomes Compression Reduce context usage in long sessions Context Providers Inject live data from Calendar, Gmail, Drive, GitHub, Slack, MCP Dependencies Inject runtime values into prompts
Capability What it adds Guardrails Validate input and output Hooks Pre-run and post-run callbacks Human-in-the-Loop Pause runs for approval, input, or external execution
Capability What it adds Background execution Long-running runs that don't block your API Evals Measure accuracy, performance, and reliability Observability OpenTelemetry tracing into your own database Scheduler Run agents and workflows on a recurring schedule
Register the same agents, teams, and workflows with AgentOS to run them behind a FastAPI application. AgentOS provides REST APIs and runtime support for persistence, authorization, tracing, background execution, scheduling, and interfaces.
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