Comparison
agentops vs kitaru
Verdict
Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick kitaru if kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML.
Markdown twin · agentops alternatives · kitaru alternatives
GraphCanon updated Sep 29, 2026
7views this month
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Trust & integrity
| Signal | agentops | kitaru |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 29, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 29, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- kitaru
- Record, replay, and improve AI agents in production, built on ZenML
Stars
- agentops
- 5.8k
- kitaru
- 297
Forks
- agentops
- 625
- kitaru
- 25
Open issues
- agentops
- 184
- kitaru
- 48
Language
- agentops
- Python
- kitaru
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- kitaru
- Kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML.
Persona
- agentops
- -
- kitaru
- -
Runtime
- agentops
- -
- kitaru
- -
License
- agentops
- MIT
- kitaru
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- kitaru
- Sep 29, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- kitaru
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- kitaru
- Very active (96%)
Days since push
- agentops
- 86d
- kitaru
- 0d
Open issues (now)
- agentops
- 184
- kitaru
- 48
Stars delta
- agentops
- +59 (30d)
- kitaru
- +71 (30d)
Open issues delta
- agentops
- +8 (30d)
- kitaru
- -1 (30d)
Full report
- agentops
- Trust report
- kitaru
- Trust report
Shared compatibility
- Python · agentops: Python runtime · kitaru: Python runtime
Choose agentops if…
- License: agentops is MIT, kitaru is Apache-2.0.
- Tags unique to agentops: benchmarking, cost-tracking.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
When NOT to use agentops
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
- In case self-hosting of components is impractical due to resource constraints
Choose kitaru if…
- License: kitaru is Apache-2.0, agentops is MIT.
- Tags unique to kitaru: agent-framework, checkpoints, durable-execution, llm.
- kitaru ships Docker support for self-hosted deployment.
- - You need to ensure the continuous improvement of AI agents that are already deployed; Kitaru allows you to replay scenarios with different approaches to identify improvements.
When NOT to use kitaru
- - If your project is in the early stages of development without a clear need for replaying historical data or improving upon past behaviors;
- - When working outside Python, as Kitaru does not currently offer support for other programming languages.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentOps-AI/agentops) · observed Sep 20, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Sep 20, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (zenml-io/kitaru) · observed Sep 29, 2026
- GitHub forks (zenml-io/kitaru) · observed Sep 29, 2026
- Last push (zenml-io/kitaru) · observed Sep 29, 2026
- License file (Apache-2.0) · observed Sep 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · kitaru 297 (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and kitaru?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. kitaru: Record, replay, and improve AI agents in production, built on ZenML. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over kitaru?
- Choose agentops over kitaru when License: agentops is MIT, kitaru is Apache-2.0; Tags unique to agentops: benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose kitaru over agentops?
- Choose kitaru over agentops when License: kitaru is Apache-2.0, agentops is MIT; Tags unique to kitaru: agent-framework, checkpoints, durable-execution, llm; kitaru ships Docker support for self-hosted deployment; - You need to ensure the continuous improvement of AI agents that are already deployed; Kitaru allows you to replay scenarios with different approaches to identify improvements.
- When should I avoid agentops?
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints
- When should I avoid kitaru?
- - If your project is in the early stages of development without a clear need for replaying historical data or improving upon past behaviors; - When working outside Python, as Kitaru does not currently offer support for other programming languages.
- Is agentops or kitaru more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 297). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and kitaru open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, kitaru: Apache-2.0).
- Where can I find alternatives to agentops or kitaru?
- GraphCanon lists graph-backed alternatives at agentops alternatives and kitaru alternatives (agentops markdown twin, kitaru markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agentops or kitaru?
- agentops: Steady. kitaru: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agentops and kitaru?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; kitaru trust report.