agentloop-profiler is an open-source CLI tool for profiling and optimizing AI agent execution graphs. It provides observability, tracing, and performance analysis for developers and researchers working with AI agents. Suitable for improving agent efficiency and debugging complex workflows.
agentloop-profiler sits in PulseGate's LLM eval & observability category. It focuses on profiling and optimizing the performance of AI agent execution graphs for developers. agentloop-profiler is an open-source project aimed at AI developers and researchers. agentloop-profiler is open source under the Apache-2.0 license. agentloop-profiler is available on the command line, and it can be self-hosted.
It is developed by Dipesh Babu, and it first shipped in 2026. Key capabilities include profiling, optimization, and execution graph analysis.
Summary written by a language model from the project’s public pages.
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