Comparison
agent-opt vs kitaru
Verdict
Pick agent-opt if agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies; pick kitaru if kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML.
Markdown twin · agent-opt alternatives · kitaru alternatives
GraphCanon updated Oct 3, 2026
7views this month
Trust & integrity
| Signal | agent-opt | kitaru |
|---|---|---|
| Maintenance | Archived (95d since push) As of Oct 3, 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 Oct 3, 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 11, 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
- agent-opt
- Open Source Library for Automated Optimization of AI Agent Workflows
- kitaru
- Record, replay, and improve AI agents in production, built on ZenML
Stars
- agent-opt
- 75
- kitaru
- 297
Forks
- agent-opt
- 9
- kitaru
- 25
Open issues
- agent-opt
- 0
- kitaru
- 48
Language
- agent-opt
- Python
- kitaru
- Python
Adopt for
- agent-opt
- Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies.
- kitaru
- Kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML.
Persona
- agent-opt
- -
- kitaru
- -
Runtime
- agent-opt
- -
- kitaru
- -
License
- agent-opt
- Apache-2.0
- kitaru
- Apache-2.0
Last pushed
- agent-opt
- Jun 30, 2026
- kitaru
- Sep 29, 2026
Categories
- agent-opt
- AI Agents, Evaluation & Observability
- kitaru
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-opt
- Archived (8%)
- kitaru
- Very active (96%)
Days since push
- agent-opt
- 95d
- kitaru
- 0d
Archived on GitHub
- agent-opt
- Yes
- kitaru
- No
Open issues (now)
- agent-opt
- 0
- kitaru
- 48
Stars delta
- agent-opt
- +4 (30d)
- kitaru
- +71 (30d)
Open issues delta
- agent-opt
- 0 (30d)
- kitaru
- -1 (30d)
Full report
- agent-opt
- Trust report
- kitaru
- Trust report
Shared compatibility
- Python · agent-opt: Python runtime · kitaru: Python runtime
Choose agent-opt if…
- Tags unique to agent-opt: agent, aioptimization, automation, cicd.
- - When your project needs seamless CI/CD integration alongside automated optimization
- Leaner open-issue backlog (0).
When NOT to use agent-opt
- - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10
- - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
Choose kitaru if…
- 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 (future-agi/agent-opt) · observed Oct 3, 2026
- GitHub forks (future-agi/agent-opt) · observed Oct 3, 2026
- Last push (future-agi/agent-opt) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Oct 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: agent-opt 75 · kitaru 297 (synced Oct 3, 2026).
Common questions
- What is the difference between agent-opt and kitaru?
- agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. 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 agent-opt over kitaru?
- Choose agent-opt over kitaru when Tags unique to agent-opt: agent, aioptimization, automation, cicd; - When your project needs seamless CI/CD integration alongside automated optimization; Leaner open-issue backlog (0).
- When should I choose kitaru over agent-opt?
- Choose kitaru over agent-opt when 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 agent-opt?
- - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
- 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 agent-opt or kitaru more popular on GitHub?
- kitaru has more GitHub stars (297 vs 75). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-opt and kitaru open source?
- Yes - both are open-source projects on GitHub (agent-opt: Apache-2.0, kitaru: Apache-2.0).
- Where can I find alternatives to agent-opt or kitaru?
- GraphCanon lists graph-backed alternatives at agent-opt alternatives and kitaru alternatives (agent-opt 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, agent-opt or kitaru?
- agent-opt: Archived. 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 agent-opt and kitaru?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-opt trust report; kitaru trust report.