FloAI (Wavefront AI)
Overview
FloAI builds composable agents; the broader Wavefront platform adds deployment, data and workflow management.
FloAI is the agent-building library within Rootflo’s Wavefront project. Developers compose agents, tools and routing into workflows; Wavefront adds a management interface, authentication, data access and observability. The project is in beta, with some features still under development.
Self-hosting requires engineering setup, model credentials and permissions for each connected data source. FloAI uses the MIT license, while the Wavefront platform uses AGPL-3.0. The screenshot shows the earlier FloAI documentation.
Product overview
Capabilities, pricing and fit
FloAI builds composable agents; the broader Wavefront platform adds deployment, data and workflow management.
Information as of October 15, 2026
Where it fits best
Pricing and availability
FloAI source is MIT-licensed and Wavefront is AGPL-3.0. Budget separately for hosting, model usage, storage and implementation. Review the platform license before integrating it into a hosted service.[1], [2]
Access: Self-hosted beta platform with Python, Node.js, storage and model-provider configuration.[1], [2]
Sources (2)
- github.com — product detailsOfficial site · checked 2026-10-15
- wavefront.rootflo.ai — product detailsOfficial site · checked 2026-10-15
Autonomy level
70/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of FloAI (Wavefront AI):
- Building composable agent workflows
- Connecting enterprise data to a self-hosted AI application
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Pricing model:
Code access:
Popularity level: 39%
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