Agno
ActiveDescription
Agno is a high-performance agent framework for building multimodal AI agents with memory, knowledge, and tool-use capabilities, supporting multiple LLM providers.
Key Features
- Production API — 50+ endpoints with SSE and WebSocket to build products on top
- 100+ pre-built tool integrations — Connect to 100+ tools via pre-built toolkits
- Context Providers — Access live data from Slack, Drive, wikis, MCP, and custom sources
- Human Approval — Pause runs for user confirmation, block tools requiring admin approval
- Observability — Built-in OpenTelemetry tracing, run history, and audit logs
- Security — JWT-based RBAC with multi-user, multi-tenant isolation out of the box
Use Cases
💡 Build enterprise-grade Slack/Telegram/Discord bots deployed as production services
💡 Create self-learning data agents with memory and knowledge capabilities
💡 Integrate third-party tools and data sources via MCP protocol
💡 Deploy scalable agent platforms on Docker/Railway/AWS/GCP
💡 Automate workflows with cron scheduling and background jobs
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (42.0k stars)
- • Permissive open-source license (Apache-2.0)
- • Established track record (4 years in production)
Categories
Quick Start
```bash
pip install agno
```
```python
from agno.agent import Agent
from agno.models.openai import OpenAIChat
agent = Agent(
model=OpenAIChat(id="gpt-4o"),
description="You are a helpful assistant.",
tools=[],
)
agent.run("What is the capital of France?")
```