# scaleapi/agentenv-framework

<https://repo.masters-masters.com/en/repos/scaleapi/agentenv-framework>

[Home](https://repo.masters-masters.com/en) › [scaleapi](https://repo.masters-masters.com/en/owners/scaleapi) › [agentenv-framework](https://repo.masters-masters.com/en/repos/scaleapi/agentenv-framework)

scaleapi/agentenv-framework has 399 stars on GitHub. Its RepoMasters card: Alpha tier. Creating realistic RL environments requires collaboration between…

| Field | Value |
| --- | --- |
| Owner | [scaleapi](https://repo.masters-masters.com/en/owners/scaleapi) |
| Stars | 399 |
| Forks | 52 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | a2a, agent-evaluation, agentic-ai, ai-agents, llm-agents, llm-evaluation, mcp, model-context-protocol, python, reinforcement-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [scaleapi/agentenv-framework](https://github.com/scaleapi/agentenv-framework) |

## Repository

Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively.…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.