Comparison
agent-opt vs SPPO
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 SPPO if sPPO targets fine-tuning of large language models through Self-Play Preference Optimization within RLHF.
Markdown twin · agent-opt alternatives · SPPO alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | agent-opt | SPPO |
|---|---|---|
| Maintenance | Steady (35d since push) As of 2w · github_public_v1 | Dormant (578d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 1d · 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
- SPPO
- Official implementation of Self-Play Preference Optimization for fine-tuning large language models via RLHF
Stars
- agent-opt
- 71
- SPPO
- 589
Forks
- agent-opt
- 7
- SPPO
- 48
Open issues
- agent-opt
- 0
- SPPO
- 15
Language
- agent-opt
- Python
- SPPO
- 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.
- SPPO
- SPPO targets fine-tuning of large language models through Self-Play Preference Optimization within RLHF.
Persona
- agent-opt
- -
- SPPO
- -
Runtime
- agent-opt
- -
- SPPO
- -
License
- agent-opt
- Apache-2.0
- SPPO
- Apache-2.0
Last pushed
- agent-opt
- Jun 30, 2026
- SPPO
- Jan 23, 2025
Categories
- agent-opt
- AI Agents, Evaluation & Observability
- SPPO
- LLM Frameworks, Model Training
Trust and health
Maintenance
- agent-opt
- Steady (60%)
- SPPO
- Dormant (18%)
Days since push
- agent-opt
- 35d
- SPPO
- 578d
Open issues (now)
- agent-opt
- 0
- SPPO
- 15
Stars delta
- agent-opt
- Unknown
- SPPO
- -1 (30d)
Open issues delta
- agent-opt
- Unknown
- SPPO
- 0 (30d)
Owner type
- agent-opt
- Organization
- SPPO
- User
Full report
- agent-opt
- Trust report
- SPPO
- Trust report
Choose agent-opt if…
- Tags unique to agent-opt: agent, ai-agents, aioptimization, automation.
- Also covers AI Agents, 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 SPPO if…
- Tags unique to SPPO: deep-learning, fine-tuning, large language models, rlhf.
- Also covers LLM Frameworks, Model Training.
- Use if you aim to specialize in fine-tuning large language models with self-play techniques and reinforcement learning for enhancing model preferences.
When NOT to use SPPO
- Avoid SPPO if your project does not require or benefit from reinforcement learning mechanisms or the fine-tuning specifics provided through self-play methods.
- Do not use SPPO in scenarios where simpler model tuning approaches without self-play are adequate for achieving project goals, as it might introduce unnecessary complexity.
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 (uclaml/SPPO) · observed Aug 24, 2026
- GitHub forks (uclaml/SPPO) · observed Aug 24, 2026
- Last push (uclaml/SPPO) · observed Jan 23, 2025
- License file (Apache-2.0) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-opt 71 · SPPO 589 (synced Aug 4, 2026).
Common questions
- What is the difference between agent-opt and SPPO?
- agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. SPPO: Official implementation of Self-Play Preference Optimization for fine-tuning large language models via RLHF. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-opt over SPPO?
- Choose agent-opt over SPPO when Tags unique to agent-opt: agent, ai-agents, aioptimization, automation; Also covers AI Agents, Evaluation & Observability; - When your project needs seamless CI/CD integration alongside automated optimization.
- When should I choose SPPO over agent-opt?
- Choose SPPO over agent-opt when Tags unique to SPPO: deep-learning, fine-tuning, large language models, rlhf; Also covers LLM Frameworks, Model Training; Use if you aim to specialize in fine-tuning large language models with self-play techniques and reinforcement learning for enhancing model preferences.
- 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 SPPO?
- Avoid SPPO if your project does not require or benefit from reinforcement learning mechanisms or the fine-tuning specifics provided through self-play methods. Do not use SPPO in scenarios where simpler model tuning approaches without self-play are adequate for achieving project goals, as it might introduce unnecessary complexity.
- Is agent-opt or SPPO more popular on GitHub?
- SPPO has more GitHub stars (589 vs 71). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-opt and SPPO open source?
- Yes - both are open-source projects on GitHub (agent-opt: Apache-2.0, SPPO: Apache-2.0).
- Where can I find alternatives to agent-opt or SPPO?
- GraphCanon lists graph-backed alternatives at agent-opt alternatives and SPPO alternatives (agent-opt markdown twin, SPPO 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 SPPO?
- agent-opt: Steady. SPPO: Dormant. 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 SPPO?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-opt trust report; SPPO trust report.