Overview
5 featuresIn the LLM eval & observability space, agentfluent takes a focused approach. It focuses on diagnosing and analyzing AI agent prompts and behaviors locally without cloud dependency. agentfluent is an open-source project aimed at AI developers and researchers. The project is open source (MIT). It ships for the web and the command line, and it can be self-hosted.
It is developed by frederick-douglas-pearce, and it first shipped in 2026. Development happens publicly on GitHub with 265 commits in the last 90 days. Key capabilities include prompt diagnostics, agent analytics, and local-first operation.
- ✓Prompt diagnostics
- ✓Agent analytics
- ✓Local-first operation
- ✓CLI tool
- ✓LLM integration
Tagsagent-analyticsprompt-diagnosticslocal-firstcli-toolllm-monitoring
AI capabilitiesText
Inference: LocalWeights: Open
Built with & integrations
Runs onBrowserCLISelf-hosted
Indexing history
1What PulseGate has recorded for this listing
Indexed16 Jun · 03:59 UTC
Listing verified against its public source
Frequently asked questions about agentfluent
- What is agentfluent?
- Agentfluent focuses on diagnosing and analyzing AI agent prompts and behaviors locally without cloud dependency. It is catalogued under LLM eval & observability on PulseGate.
- Who should use agentfluent?
- agentfluent is an open-source project built for AI developers and researchers.
- Is agentfluent free?
- Yes — agentfluent is open source under the MIT license and free to use.
- What platforms does agentfluent run on?
- agentfluent runs on the web and the command line. It can also be self-hosted.
- Is agentfluent still maintained?
- The GitHub repository shows 265 commits in the last 90 days.
- Who develops agentfluent?
- agentfluent is developed by frederick-douglas-pearce.
- When did agentfluent launch?
- agentfluent first shipped in 2026.