Overview
4 featuresIn the LLM eval & observability space, floww takes a focused approach. It focuses on testing and improving the reliability of AI agents through simulation and chaos engineering techniques. It is built as an open-source project for AI engineers and researchers. floww is open source under the MIT license. It ships for the web and the command line.
Behind floww is sushaan-k, and it first shipped in 2026. Development happens publicly on GitHub with 14 commits in the last 90 days. Key capabilities include agent simulation, chaos engineering, and reliability testing.
- ✓Agent simulation
- ✓Chaos engineering
- ✓Reliability testing
- ✓Monte Carlo simulation
Tagsagent-simulationchaos-engineeringai-reliability
AI capabilitiesWeights: Open
Built with & integrations
Indexing history
1What PulseGate has recorded for this listing
Indexed16 Jun · 06:12 UTC
Listing verified against its public source
Frequently asked questions about floww
- What is floww?
- Floww focuses on testing and improving the reliability of AI agents through simulation and chaos engineering techniques. It is catalogued under LLM eval & observability on PulseGate.
- Who is floww for?
- floww is an open-source project built for AI engineers and researchers.
- Does floww have a free plan?
- Yes — floww is open source under the MIT license and free to use.
- What platforms does floww run on?
- floww runs on the web and the command line.
- Is floww still maintained?
- The GitHub repository shows 14 commits in the last 90 days.
- What projects are similar to floww?
- Similar projects tracked by PulseGate include flowent, qa-flow, and flow-xray.flowentqa-flowflow-xray
- Who makes floww?
- floww is developed by sushaan-k.
- How long has floww been around?
- floww first shipped in 2026.