Comparison
agent-opt vs adk-python
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 adk-python if adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems.
Markdown twin · agent-opt alternatives · adk-python alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agent-opt | adk-python |
|---|---|---|
| Maintenance | Steady (35d since push) As of 1w · github_public_v1 | Very active (1d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- adk-python
- A Python toolkit for building, evaluating, and deploying AI agents
Stars
- agent-opt
- 71
- adk-python
- 21k
Forks
- agent-opt
- 7
- adk-python
- 3.7k
Open issues
- agent-opt
- 0
- adk-python
- 642
Language
- agent-opt
- Python
- adk-python
- 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.
- adk-python
- adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems.
Persona
- agent-opt
- -
- adk-python
- -
Runtime
- agent-opt
- -
- adk-python
- -
License
- agent-opt
- Apache-2.0
- adk-python
- adk-python is available under the Apache-2.0 license, allowing both commercial and non-commercial use with appropriate attribution.
Last pushed
- agent-opt
- Jun 30, 2026
- adk-python
- Jul 17, 2026
Categories
- agent-opt
- AI Agents, Evaluation & Observability
- adk-python
- AI Agents
Trust and health
Maintenance
- agent-opt
- Steady (60%)
- adk-python
- Very active (96%)
Days since push
- agent-opt
- 35d
- adk-python
- 1d
Open issues (now)
- agent-opt
- 0
- adk-python
- 642
Full report
- agent-opt
- Trust report
- adk-python
- Trust report
Shared compatibility
- Python · agent-opt: Python runtime · adk-python: Python runtime
Choose agent-opt if…
- Tags unique to agent-opt: aioptimization, automation, cicd, evaluation.
- Also covers Evaluation & Observability.
- - When your project needs seamless CI/CD integration alongside automated optimization
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 adk-python if…
- Requirements: Requires Python 3.10+ for installation..
- Tags unique to adk-python: agentic, multi-agent-systems.
- You are working on multi-agent systems where multiple AI agents need to collaborate or interact effectively. adk-python offers specific support for defining and orchestrating multi-agent workflows.
When NOT to use adk-python
- If your project does not involve multi-agent interactions or complex orchestration of multiple agents, other frameworks might offer more streamlined solutions.
- You prefer using out-of-the-box solutions with less coding complexity. adk-python's code-first approach is best suited for developers looking to deeply customize agent behavior and interactions.
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 Aug 4, 2026
- GitHub forks (future-agi/agent-opt) · observed Aug 4, 2026
- Last push (future-agi/agent-opt) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (google/adk-python) · observed Jul 19, 2026
- GitHub forks (google/adk-python) · observed Jul 19, 2026
- Last push (google/adk-python) · observed Jul 17, 2026
- License file (Apache-2.0) · observed Jul 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-opt 71 · adk-python 21k (synced Aug 4, 2026).
Common questions
- What is the difference between agent-opt and adk-python?
- agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. adk-python: A Python toolkit for building, evaluating, and deploying AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-opt over adk-python?
- Choose agent-opt over adk-python when Tags unique to agent-opt: aioptimization, automation, cicd, evaluation; Also covers Evaluation & Observability; - When your project needs seamless CI/CD integration alongside automated optimization.
- When should I choose adk-python over agent-opt?
- Choose adk-python over agent-opt when Requirements: Requires Python 3.10+ for installation.; Tags unique to adk-python: agentic, multi-agent-systems; You are working on multi-agent systems where multiple AI agents need to collaborate or interact effectively. adk-python offers specific support for defining and orchestrating multi-agent workflows.
- 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 adk-python?
- If your project does not involve multi-agent interactions or complex orchestration of multiple agents, other frameworks might offer more streamlined solutions. You prefer using out-of-the-box solutions with less coding complexity. adk-python's code-first approach is best suited for developers looking to deeply customize agent behavior and interactions.
- Is agent-opt or adk-python more popular on GitHub?
- adk-python has more GitHub stars (20,658 vs 71). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-opt and adk-python open source?
- Yes - both are open-source projects on GitHub (agent-opt: Apache-2.0, adk-python: Apache-2.0).
- Where can I find alternatives to agent-opt or adk-python?
- GraphCanon lists graph-backed alternatives at agent-opt alternatives and adk-python alternatives (agent-opt markdown twin, adk-python 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 adk-python?
- agent-opt: Steady. adk-python: 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 adk-python?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-opt trust report; adk-python trust report.