Comparison
openevolve vs agent-learning-kit
Verdict
Pick openevolve if openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution; pick agent-learning-kit if agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language.
Markdown twin · openevolve alternatives · agent-learning-kit alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | openevolve | agent-learning-kit |
|---|---|---|
| Maintenance | Steady (63d since push) As of Sep 19, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 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 Sep 18, 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
- openevolve
- Open-source implementation of AlphaEvolve evolutionary computation framework
- agent-learning-kit
- General Purpose Evaluation and Simulation Environment for all your AI related Workflows
Stars
- openevolve
- 7.4k
- agent-learning-kit
- 119
Forks
- openevolve
- 1.2k
- agent-learning-kit
- 44
Open issues
- openevolve
- 120
- agent-learning-kit
- 19
Language
- openevolve
- Python
- agent-learning-kit
- Python
Adopt for
- openevolve
- openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution.
- agent-learning-kit
- agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language
Persona
- openevolve
- -
- agent-learning-kit
- -
Runtime
- openevolve
- -
- agent-learning-kit
- -
License
- openevolve
- Apache-2.0
- agent-learning-kit
- Other
Last pushed
- openevolve
- Jul 18, 2026
- agent-learning-kit
- Sep 18, 2026
Categories
- openevolve
- AI Agents, Model Training
- agent-learning-kit
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- openevolve
- Steady (60%)
- agent-learning-kit
- Very active (96%)
Days since push
- openevolve
- 63d
- agent-learning-kit
- 0d
Open issues (now)
- openevolve
- 120
- agent-learning-kit
- 19
Stars delta
- openevolve
- +608 (30d)
- agent-learning-kit
- +1 (30d)
Open issues delta
- openevolve
- +11 (30d)
- agent-learning-kit
- +13 (30d)
Full report
- openevolve
- Trust report
- agent-learning-kit
- Trust report
Shared compatibility
- Python · openevolve: Python runtime · agent-learning-kit: Python runtime
Choose openevolve if…
- License: openevolve is Apache-2.0, agent-learning-kit is Other.
- Tags unique to openevolve: alpha-evolve, alphacode, coding-agent, deepmind.
- Also covers Model Training.
- openevolve ships Docker support for self-hosted deployment.
- When focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment
When NOT to use openevolve
- If project requires more specialized AI agents not covered by AlphaEvolve techniques
- For tasks that do not benefit from the specific type of iterative refinement and model training offered by this framework
Choose agent-learning-kit if…
- License: agent-learning-kit is Other, openevolve is Apache-2.0.
- Tags unique to agent-learning-kit: agentic-ai, ai-agents, cicd, evaluation.
- Also covers Evaluation & Observability.
- When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents
When NOT to use agent-learning-kit
- If your project strictly requires a different programming language other than Python or TypeScript
- When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (algorithmicsuperintelligence/openevolve) · observed Sep 20, 2026
- GitHub forks (algorithmicsuperintelligence/openevolve) · observed Sep 20, 2026
- Last push (algorithmicsuperintelligence/openevolve) · observed Jul 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/agent-learning-kit) · observed Sep 20, 2026
- GitHub forks (future-agi/agent-learning-kit) · observed Sep 20, 2026
- Last push (future-agi/agent-learning-kit) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: openevolve 7.4k · agent-learning-kit 119 (synced Sep 20, 2026).
Common questions
- What is the difference between openevolve and agent-learning-kit?
- openevolve: Open-source implementation of AlphaEvolve evolutionary computation framework. agent-learning-kit: General Purpose Evaluation and Simulation Environment for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose openevolve over agent-learning-kit?
- Choose openevolve over agent-learning-kit when License: openevolve is Apache-2.0, agent-learning-kit is Other; Tags unique to openevolve: alpha-evolve, alphacode, coding-agent, deepmind; Also covers Model Training; openevolve ships Docker support for self-hosted deployment; When focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment.
- When should I choose agent-learning-kit over openevolve?
- Choose agent-learning-kit over openevolve when License: agent-learning-kit is Other, openevolve is Apache-2.0; Tags unique to agent-learning-kit: agentic-ai, ai-agents, cicd, evaluation; Also covers Evaluation & Observability; When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents.
- When should I avoid openevolve?
- If project requires more specialized AI agents not covered by AlphaEvolve techniques For tasks that do not benefit from the specific type of iterative refinement and model training offered by this framework
- When should I avoid agent-learning-kit?
- If your project strictly requires a different programming language other than Python or TypeScript When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras
- Is openevolve or agent-learning-kit more popular on GitHub?
- openevolve has more GitHub stars (7,401 vs 119). Stars measure visibility, not whether either tool fits your constraints.
- Are openevolve and agent-learning-kit open source?
- Yes - both are open-source projects on GitHub (openevolve: Apache-2.0, agent-learning-kit: Other).
- Where can I find alternatives to openevolve or agent-learning-kit?
- GraphCanon lists graph-backed alternatives at openevolve alternatives and agent-learning-kit alternatives (openevolve markdown twin, agent-learning-kit 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, openevolve or agent-learning-kit?
- openevolve: Steady. agent-learning-kit: 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 openevolve and agent-learning-kit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openevolve trust report; agent-learning-kit trust report.