Agno
Open Source(Apache-2.0)
Best for developers
Self-hosted AI agents
Multi-agent orchestration
High performance framework
Data privacy focused
A new architecture for multi-agent systems that runs in your cloud.
Workflow
Workflow Orchestration
FREEMIUM
ADVANCED Complexity
HYBRID
Last updated: Apr 15, 2026
agno.com
Quick Answer
Agno is an open-source multi-agent framework and runtime that enables developers to build, deploy, and manage secure, high-performance AI agent systems directly within their own cloud. It supports self-learning agents, multi-agent orchestration, and extensive tool use with any LLM. Best for developers and platform teams prioritizing privacy, performance, and control over their AI infrastructure. Offers a free open-source tier and paid plans for production.
Decision Intelligence
Best For
Building and deploying multi-agent systems for developers
Orchestrating complex AI workflows in production environments
Ensuring data privacy and security for agentic applications
Teams needing high-performance and low-latency agent execution
Integrating AI agents with existing cloud infrastructure
Not Ideal For
Non-technical users seeking a no-code agent builder
Teams unwilling to manage their own cloud infrastructure
Simple, single-step automation tasks that don't require agentic capabilities
Users looking for a fully managed, hosted AI agent solution without self-hosting
Fit Score
Complexity
ADVANCED
Company Size
SOLO
SMALL
MEDIUM
ENTERPRISE
Team Size
SMALL_TEAM
LARGE_TEAM
Skill Level
EXPERT
About Agno
Agno is an all-in-one agent platform providing an open-source Python framework and a high-performance runtime for multi-agent systems. It enables developers to build, run, and manage self-learning agents with memory, knowledge, and guardrails in their own cloud environment. Agno offers a secure, private, and scalable solution for deploying production-ready AI agent infrastructure.
What Makes Agno Unique
Agno stands out with its 'pure Python' design, eliminating complex graphs or chains, and its AgentOS runtime that turns agents into a scalable API running entirely in the user's cloud. It boasts significantly faster agent instantiation and lower memory footprint compared to alternatives like LangGraph and CrewAI.
Capabilities
Build self-learning agents with memory and knowledge
Orchestrate multi-agent teams with various execution modes
Deploy agents as scalable APIs in your cloud
Real-time monitoring and tracing of agent systems
Human-in-the-loop for tool confirmation and input collection
Cron-based scheduling for recurring tasks
Structured JSON output with provider-native schemas
Ingestion of diverse data sources (Excel, GitHub, SharePoint, Azure Blob)
Pros
- +Runs entirely in your cloud, ensuring data privacy and control with no egress costs
- +Significantly faster agent instantiation and lower memory footprint than competitors
- +Flexible and agnostic, supporting any LLM, database, and cloud provider
- +Comprehensive control plane for real-time monitoring, tracing, and management
- +Robust human-in-the-loop capabilities for controlled agent execution
- +Open-source framework with a strong community and extensive documentation
Limitations
- -Requires Python knowledge and coding skills, not suitable for no-code users
- -Self-hosted deployment requires user's own cloud infrastructure management
- -Newer framework compared to established alternatives like LangChain, potentially smaller ecosystem
- -Advanced features like custom SSO and dedicated support are locked behind enterprise tiers
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use6/10
Output Quality8/10
Value for Money7/10
Customization9/10
Support7/10
Integration8/10
Task Scores
Api Connectivity
9
Monitoring Logging
9
Multi Step Chains
9
Workflow Building
8
Scheduling Capability
8
Conditional Logic
8
Autonomous Execution
8
Action Library
7
Trust Score
50/100
Limited Data
Based on 6 verified signals
Trust Signals
Verified CompanyAgno Inc.
User Base10K-100K
Funding$5.4M
Team Size11-50
Status PageView
Data ResidencyUser-controlled (AWS, GCP, Railway)
Switching & Migration
Migration Difficulty
Moderate Effort
Data portable as:
API
Community Forum, Dedicated Slack, Dedicated Technical Lead, Support SLA
PyPI31.0K/mo
Quick Stats
Agent TypeWorkflow
Memorypersistent
Planningadvanced
CategoryWorkflow Orchestration
PlatformsWEB, API, CLI
Views1
Reviews0
LaunchedJan 2025
Setup Time2 minutes
Status
active
Company & Links