Python · Apache-2.0
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.
★ 413
Stars
55 forks · 58 open issues
+3.3/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
34.7
Momentum / 100
see the breakdown below
44d ago
Created
last push 2d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 12.1 | +3.3/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.47× the monthly pace |
| Freshness | 15 | 15.0 | last push 2d ago; decays to zero at 180 days |
| Scale | 15 | 7.6 | 413 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 34.7 | sum of the above |
Detail
| Topics | a2aagent-evaluationagentic-aiai-agentsllm-agentsllm-evaluationmcpmodel-context-protocolpythonreinforcement-learningreinforcement-learning-environmentssandbox |
| Matched on | AI Agents (agentic-ai, ai-agents) Agent Skills & MCP (mcp, model-context-protocol) |
| Short window | +23 stars over 7 days = 3.3/day |
| Long window | +181 stars over 26 days = 7.0/day |
| Lifetime average | 9.90 stars/day over 42 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |