AgentOps
An observability and evaluation toolkit for tracing agent sessions, including runs composed of multiple collaborating agents.
Editorial research profile
What problem does this project address?
Makes multi-agent execution inspectable and adds controls for quality, safety, policy, or accountability.
An observability and evaluation toolkit for tracing agent sessions, including runs composed of multiple collaborating agents.
Multi-agent core
How do the agents coordinate?
Tracing
Cross-agent activity is linked into traces so delegation and execution can be inspected.
Evaluation
Evaluation is recorded as a coordination characteristic in this project's reviewed taxonomy.
Application fit
Where can it be useful?
Representative use cases
- Trace messages, tool calls, costs, latency, and failures across agents.
- Evaluate team outputs and compare alternative prompts or topologies.
- Introduce review, policy, or governance gates into agent workflows.
Why it may be worth examining
- Addresses a cross-cutting runtime or operational concern that can support several agent applications.
- The project exposes 2 recorded coordination characteristics, making their combination easier to examine.
- Its self-hosting classification supports code inspection, internal experiments, and tighter data boundaries.
Engineering adoption guide
What should you verify before adoption?
Project-level trade-offs
- Infrastructure value depends on integration quality and operational reliability, not only feature breadth.
- The project was active at the latest editorial review, but release cadence and issue health should still be checked.
- Multi-agent results depend heavily on models, prompts, tools, data, and evaluation design; revalidate with representative tasks.
Technical and licensing facts
- Recorded as self-hostable; verify model, storage, and external service dependencies before adoption.
- The primary implementation language is Python; assess extension and maintenance cost against your team's stack.
- The recorded license is MIT; confirm the repository's full license text and dependency licenses before formal use.
Recommended evaluation checklist
- 1 Verify trace completeness across asynchronous and delegated work.
- 2 Assess data retention, redaction, access control, and exportability.
- 3 Test whether evaluation signals correlate with real task quality.
Traceable information
Research basis and freshness
Sources used for this profile
- Official GitHub repository and public metadata
- Official project website or documentation when available
- Repository-verifiable multi-agent mechanism and project scope
- This directory's normalized taxonomy, status, and adoption dimensions
- Last reviewed
- 2026-07-20
- Status
- Active
- GitHub Stars
- Not synced
- Archived
- No
Note: This page supports open-source discovery and engineering evaluation. It is not security, medical, legal, or financial advice. Capabilities and maintenance status may change after review; verify the official repository and documentation before adoption.
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