---
title: "openevolve vs agent-learning-kit"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/algorithmicsuperintelligence-openevolve-vs-future-agi-agent-learning-kit"
tools: ["algorithmicsuperintelligence-openevolve", "future-agi-agent-learning-kit"]
---

# openevolve vs agent-learning-kit

*GraphCanon updated Sep 20, 2026*

## 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.

[openevolve](https://github.com/algorithmicsuperintelligence/openevolve) reports 7.4k GitHub stars, 1.2k forks, and 120 open issues, last pushed Jul 18, 2026. [agent-learning-kit](https://futureagi.com) has 119 stars, 44 forks, and 19 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [openevolve's repository](https://github.com/algorithmicsuperintelligence/openevolve) and [agent-learning-kit's repository](https://github.com/future-agi/agent-learning-kit).

| | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) |
| --- | --- | --- |
| Tagline | Open-source implementation of AlphaEvolve evolutionary computation framework | General Purpose Evaluation and Simulation Environment for all your AI related Workflows |
| Stars | 7,401 | 119 |
| Forks | 1,160 | 44 |
| Open issues | 120 | 19 |
| Language | Python | Python |
| Adopt for | openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution. | 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 | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Other |
| Categories | AI Agents, Model Training | AI Agents, Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 63d | 0d |
| Open issues (now) | 120 | 19 |
| Stars delta | +608 (30d) | +1 (30d) |
| Open issues delta | +11 (30d) | +13 (30d) |
| Full report | [trust report](/tools/algorithmicsuperintelligence-openevolve/trust.md) | [trust report](/tools/future-agi-agent-learning-kit/trust.md) |

## Shared compatibility

- **Python**: [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) - Python runtime; [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) - Python runtime

## Decision facts: openevolve

- **Adopt for:** openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution.

## Decision facts: agent-learning-kit

- **Adopt for:** 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

## Choose when

### 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

### 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 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 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

## 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](/tools/algorithmicsuperintelligence-openevolve/alternatives) and [agent-learning-kit alternatives](/tools/future-agi-agent-learning-kit/alternatives) ([openevolve markdown twin](/tools/algorithmicsuperintelligence-openevolve/alternatives.md), [agent-learning-kit markdown twin](/tools/future-agi-agent-learning-kit/alternatives.md)), 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](/compare/algorithmicsuperintelligence-openevolve-vs-future-agi-agent-learning-kit.md) 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](/tools/algorithmicsuperintelligence-openevolve/trust); [agent-learning-kit trust report](/tools/future-agi-agent-learning-kit/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=algorithmicsuperintelligence-openevolve`](/api/graphcanon/graph?tool=algorithmicsuperintelligence-openevolve)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
