AgentHawk
No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 11 Oct 2026. How this is checked
AgentHawk is an open-source MCP server for querying OpenTelemetry traces generated by AI agents. It exposes failures, tool health, security evidence, and regressions to developers and observability teams through Model Context Protocol clients.
Inferred · not functionally tested
Overview
6 featuresPurpose: Investigating AI agent failures, tool health, security evidence, and regressions across observability traces.
Inferred · not functionally tested
Audience: AI agent developers and observability engineers
Inferred · not functionally tested
Functions: monitoring, analytics
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
In the Agent monitoring & governance space, AgentHawk takes a focused approach. Inferred · not functionally tested: It focuses on investigating AI agent failures, tool health, security evidence, and regressions across observability traces. Inferred · not functionally tested: It is built as an open-source project for AI agent developers and observability engineers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: AgentHawk is available on the command line and API, and it can be self-hosted.
It is developed by Abhishek Ash, and it first shipped in 2026. The project is developed in the open on GitHub with 17 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are trace querying, failure analysis, and tool health checks. Inferred · not functionally tested: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Trace querying
- Failure analysis
- Tool health checks
- Security evidence
- Regression detection
- MCP server
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about AgentHawk
- What is AgentHawk?
- Inferred · not functionally tested: AgentHawk focuses on investigating AI agent failures, tool health, security evidence, and regressions across observability traces. It is catalogued under Agent monitoring & governance on PulseGate.
- Who is AgentHawk for?
- Inferred · not functionally tested: AgentHawk is an open-source project built for AI agent developers and observability engineers.
- Does AgentHawk have a free plan?
- Basis unknown · not verified: Yes — AgentHawk is open source under the MIT license and free to use.
- What platforms does AgentHawk run on?
- Basis unknown · not verified: AgentHawk runs on the command line and API. It can also be self-hosted.
- Is AgentHawk still maintained?
- The GitHub repository shows 17 commits in the last 90 days.
- What projects are similar to AgentHawk?
- Similar projects tracked by PulseGate include AgentHound, AgentHelm, and AIHawk.AgentHoundAgentHelmAIHawk
- Who makes AgentHawk?
- AgentHawk is developed by Abhishek Ash.
- How long has AgentHawk been around?
- AgentHawk first shipped in 2026.
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