Overview
4 featuresIn the LLM eval & observability space, agentslow takes a focused approach. It focuses on identifying and resolving performance bottlenecks in AI agent systems. It is built as an open-source project for developers building or maintaining AI agents. agentslow is open source under the MIT license. It runs on the web and the command line.
agentslow first shipped in 2026. The project is developed in the open on GitHub with 12 commits in the last 90 days. Among its 4 catalogued features are performance diagnostics, auto-fix bottlenecks, and agent optimization. It exposes integrations via an MCP server.
- ✓Performance diagnostics
- ✓Auto-fix bottlenecks
- ✓Agent optimization
- ✓CLI interface
Tagsagent-diagnosticsperformance-optimizationai-agents
AI capabilitiesWeights: Open
Built with & integrations
Indexing history
1What PulseGate has recorded for this listing
Indexed16 Jun · 04:11 UTC
Listing verified against its public source
Frequently asked questions about agentslow
- What does agentslow do?
- Agentslow focuses on identifying and resolving performance bottlenecks in AI agent systems. It is catalogued under LLM eval & observability on PulseGate.
- Who should use agentslow?
- agentslow is an open-source project built for developers building or maintaining AI agents.
- Is agentslow free?
- Yes — agentslow is open source under the MIT license and free to use.
- What platforms does agentslow run on?
- agentslow runs on the web and the command line.
- Is agentslow still active?
- The GitHub repository shows 12 commits in the last 90 days.
- How long has agentslow been around?
- agentslow first shipped in 2026.
- Is agentslow open source?
- Yes — agentslow is open source under the MIT license, developed on GitHub.