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scaleapi / agentenv-framework

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. Until now.

Why this job: topics: a2a, llm-agents, ai-agents, agentic-ai

What it does

AgentEnv Framework is a Python SDK and CLI for building, deploying and running agentic environments and the tasks that grade agents inside them. Environments are containerized servers that speak the open agentenv-framework-protocol; AgentEnv Framework builds them into versioned images, deploys them behind a gateway, points an agent at them, and scores what the agent did.

Get started

uv tool install agentenv-framework
agent-env run hello
Maintenance
Active
Last commit today
Stars
420
+10 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v0.9.1481
Released today
Built with
Python
92% of the code

Is it looked after?

Contributors
5
Last 90 days
Issues
76% closed
5 still open
Pull requests
414 merged
51 waiting
Releases
194
30+ in the last year

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More: languages, topics, project record and preview image

Languages

  • Python 92%
  • TypeScript 7%
  • Shell 1%
  • Dockerfile <1%

Topics

  • a2a
  • agent-evaluation
  • agentic-ai
  • ai-agents
  • llm-agents
  • llm-evaluation
  • mcp
  • model-context-protocol
  • python
  • reinforcement-learning
  • reinforcement-learning-environments
  • sandbox

Project record

  • JobAgent frameworks
  • StatusListed
  • Commits647
  • Forks57
  • Watching1
  • Stars in 28 days+168
  • CreatedSep 24, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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