Agno is an SDK for building agent platforms. Workloads that were previously tedious and time-consuming are now one agent away. From data labeling, document extraction to conversational agents and dynamic agent-driven software. Agno lets you build your own agent platform and run a fleet of agents to power every part of your product and operations. Here’s how teams are using it:Documentation Index
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- Product teams use Agno to build conversational agents and product copilots, then auto-improve them using production usage data. Some run their entire product on Agno.
- ML teams use Agno to label text, image, audio and video data. Document extraction and classification is also very popular. Agno is natively typesafe and multi-modal: any input modality, structured output.
- ML teams also use Agno to generate synthetic data and preference pairs for training and evals. Agno supports any modality in, any modality out. Extremely popular use case.
- AI teams are automating document processing, knowledge organization, and eval generation workloads using Agno. They’re also building task specific agents like text2sql, company-brain, code-companion and exposing them in the company slack.
- Data Science teams use Agno for customer enrichment, segmentation, and training data curation.
- Data Engineering teams are automating data quality audits, failure log analysis and generating weekly reports using Agno.
- Build agents for their use case using any framework.
- Run agents as production services with tracing, scheduling, RBAC, and audit trails.
- Manage the entire agent development lifecycle using coding agents.
