Comparison
agent-learning-kit vs agent-opt
Verdict
Pick agent-learning-kit if agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB; 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.
Markdown twin · agent-learning-kit alternatives · agent-opt alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | agent-learning-kit | agent-opt |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Steady (35d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · 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-learning-kit
- Evaluation Framework for all your AI related Workflows
- agent-opt
- Open Source Library for Automated Optimization of AI Agent Workflows
Stars
- agent-learning-kit
- 118
- agent-opt
- 71
Forks
- agent-learning-kit
- 43
- agent-opt
- 7
Open issues
- agent-learning-kit
- 6
- agent-opt
- 0
Language
- agent-learning-kit
- Python
- agent-opt
- Python
Adopt for
- agent-learning-kit
- Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.
- 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.
Persona
- agent-learning-kit
- -
- agent-opt
- -
Runtime
- agent-learning-kit
- -
- agent-opt
- -
License
- agent-learning-kit
- Apache-2.0
- agent-opt
- Apache-2.0
Last pushed
- agent-learning-kit
- Aug 1, 2026
- agent-opt
- Jun 30, 2026
Categories
- agent-learning-kit
- Evaluation & Observability
- agent-opt
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-learning-kit
- Very active (96%)
- agent-opt
- Steady (60%)
Days since push
- agent-learning-kit
- 0d
- agent-opt
- 35d
Open issues (now)
- agent-learning-kit
- 6
- agent-opt
- 0
Full report
- agent-learning-kit
- Trust report
- agent-opt
- Trust report
Shared compatibility
- Python · agent-learning-kit: Python runtime · agent-opt: Python runtime
Choose agent-learning-kit if…
- Tags unique to agent-learning-kit: ci-cd, ml.
- When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.
- More GitHub stars (118 vs 71) - visibility, not fit.
When NOT to use agent-learning-kit
- If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit.
- When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
Choose agent-opt if…
- Tags unique to agent-opt: agent, aioptimization, automation, cicd.
- Also covers AI Agents.
- - 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
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-learning-kit) · observed Aug 1, 2026
- GitHub forks (future-agi/agent-learning-kit) · observed Aug 1, 2026
- Last push (future-agi/agent-learning-kit) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: agent-learning-kit 118 · agent-opt 71 (synced Aug 1, 2026).
Common questions
- What is the difference between agent-learning-kit and agent-opt?
- agent-learning-kit: Evaluation Framework for all your AI related Workflows. agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-learning-kit over agent-opt?
- Choose agent-learning-kit over agent-opt when Tags unique to agent-learning-kit: ci-cd, ml; When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed; More GitHub stars (118 vs 71) - visibility, not fit.
- When should I choose agent-opt over agent-learning-kit?
- Choose agent-opt over agent-learning-kit when Tags unique to agent-opt: agent, aioptimization, automation, cicd; Also covers AI Agents; - When your project needs seamless CI/CD integration alongside automated optimization.
- When should I avoid agent-learning-kit?
- If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
- 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
- Is agent-learning-kit or agent-opt more popular on GitHub?
- agent-learning-kit has more GitHub stars (118 vs 71). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-learning-kit and agent-opt open source?
- Yes - both are open-source projects on GitHub (agent-learning-kit: Apache-2.0, agent-opt: Apache-2.0).
- Where can I find alternatives to agent-learning-kit or agent-opt?
- GraphCanon lists graph-backed alternatives at agent-learning-kit alternatives and agent-opt alternatives (agent-learning-kit markdown twin, agent-opt 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-learning-kit or agent-opt?
- agent-learning-kit: Very active. agent-opt: Steady. 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-learning-kit and agent-opt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-learning-kit trust report; agent-opt trust report.