Point env Space links to the openenv org Spaces

docs/source/environments.md

@@ -80,6 +80,7 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove
       <p class="text-sm">Traffic control scenarios with SUMO simulators for agents that reason about continuous control and scheduling.</p>
       <div class="flex gap-2 mt-3">
         <a href="environments/sumo" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">📄 Docs</a>
+        <a href="https://huggingface.co/spaces/openenv/sumo_rl_env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
       </div>
     </div>
     <div class="border dark:border-gray-700 p-5 rounded-lg shadow">
@@ -94,7 +95,7 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove
       <p class="text-sm">Multi-task text arena for language-game competitions such as Wordle, reasoning puzzles, and program synthesis.</p>
       <div class="flex gap-2 mt-3">
         <a href="environments/textarena" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">📄 Docs</a>
-        <a href="https://huggingface.co/spaces/burtenshaw/textarena_env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
+        <a href="https://huggingface.co/spaces/openenv/wordle" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
       </div>
     </div>
     <div class="border dark:border-gray-700 p-5 rounded-lg shadow">
@@ -109,15 +110,15 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove
       <p class="text-sm">Safety-critical diagnostics from the DIPG benchmark, highlighting guardrails, adversarial prompts, and risk scoring.</p>
       <div class="flex gap-2 mt-3">
         <a href="environments/dipg" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">📄 Docs</a>
-        <a href="https://huggingface.co/spaces/surfiniaburger/dipg-gym" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
+        <a href="https://huggingface.co/spaces/openenv/dipg_safety_env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
       </div>
     </div>
     <div class="border dark:border-gray-700 p-5 rounded-lg shadow">
       <div class="font-bold mb-2">Snake</div>
       <p class="text-sm">Classic snake game environment for RL research with configurable grids, partial observability, and customizable rewards.</p>
       <div class="flex gap-2 mt-3">
         <a href="environments/snake" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">📄 Docs</a>
-        <a href="https://huggingface.co/spaces/Crashbandicoote2/snake_env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
+        <a href="https://huggingface.co/spaces/openenv/snake_env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
       </div>
     </div>
     <div class="border dark:border-gray-700 p-5 rounded-lg shadow">
@@ -133,7 +134,7 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove
       <p class="text-sm">Browser automation environment for web agents with DOM interaction, navigation, and multi-step task completion.</p>
       <div class="flex gap-2 mt-3">
         <a href="environments/browsergym" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">📄 Docs</a>
-        <a href="https://huggingface.co/spaces/burtenshaw/browsergym-v2" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
+        <a href="https://huggingface.co/spaces/openenv/browsergym_env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
       </div>
     </div>
     <div class="border dark:border-gray-700 p-5 rounded-lg shadow">
@@ -162,14 +163,15 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove
       <p class="text-sm">Embodied evaluation environment for testing LLM decision-making in a full 3D driving simulator with irreversible consequences and ethical trolley scenarios.</p>
       <div class="flex gap-2 mt-3">
         <a href="environments/carla" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">📄 Docs</a>
-        <a href="https://huggingface.co/spaces/sergiopaniego/carla-env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
+        <a href="https://huggingface.co/spaces/openenv/carla_env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
       </div>
     </div>
     <div class="border dark:border-gray-700 p-5 rounded-lg shadow">
       <div class="font-bold mb-2">Chess</div>
       <p class="text-sm">Chess RL environment powered by the moonfish engine with configurable opponents, position evaluation, and full chess rules.</p>
       <div class="flex gap-2 mt-3">
         <a href="environments/chess" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">📄 Docs</a>
+        <a href="https://huggingface.co/spaces/openenv/chess_env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
       </div>
     </div>
     <div class="border dark:border-gray-700 p-5 rounded-lg shadow">
@@ -205,7 +207,7 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove
       <p class="text-sm">Simple 5×5 grid world RL testbed and step-by-step guide for building new OpenEnv environments from scratch.</p>
       <div class="flex gap-2 mt-3">
         <a href="environments/grid_world" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">📄 Docs</a>
-        <a href="https://huggingface.co/spaces/yuvrajpant56/grid_world_env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
+        <a href="https://huggingface.co/spaces/openenv/grid_world_env" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
       </div>
     </div>
     <div class="border dark:border-gray-700 p-5 rounded-lg shadow">
@@ -241,6 +243,7 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove
       <p class="text-sm">Python REPL environment for code execution tasks based on the Recursive Language Models paradigm with sandboxed execution and context loading.</p>
       <div class="flex gap-2 mt-3">
         <a href="environments/repl" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">📄 Docs</a>
+        <a href="https://huggingface.co/spaces/openenv/repl" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
       </div>
     </div>
     <div class="border dark:border-gray-700 p-5 rounded-lg shadow">
@@ -255,6 +258,7 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove
       <p class="text-sm">OpenEnv wrapper for Terminal-Bench 2 tasks with local and Docker execution modes for terminal-based agent evaluation.</p>
       <div class="flex gap-2 mt-3">
         <a href="environments/tbench2" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">📄 Docs</a>
+        <a href="https://huggingface.co/spaces/openenv/tbench2" class="!no-underline border dark:border-gray-700 px-3 py-1 rounded text-sm hover:shadow">🤗 HF</a>
       </div>
     </div>
     <div class="border dark:border-gray-700 p-5 rounded-lg shadow">

docs/source/environments/browsergym.md

@@ -7,6 +7,8 @@ BrowserGym is a unified framework for web-based agent tasks that provides access
 
 *The `/web` playground on MiniWoB `click-test`: the goal, the page URL and the browser screenshot (screenshots on, 320×240 viewport).*
 
+Try it on the [`openenv/browsergym_env`](https://huggingface.co/spaces/openenv/browsergym_env) Space, or connect a client to `https://openenv-browsergym-env.hf.space`.
+
 ## Why BrowserGym?
 
 BrowserGym provides a complete pipeline for developing web agents: train on simple tasks, then evaluate on realistic websites.

docs/source/environments/carla.md

@@ -14,6 +14,8 @@ Embodied evaluation environment for testing LLM decision-making in a full 3D dri
 - Free-roam and maze navigation with configurable traffic
 - Rubric-based reward system for RL training
 
+The [`openenv/carla_env`](https://huggingface.co/spaces/openenv/carla_env) Space is paused because CARLA needs a GPU. Duplicate it and pick an A10G in the Space settings to run your own copy.
+
 ## What Makes This Different
 
 Traditional text benchmarks ask models "what would you do?" This environment shows **what models actually do** when:
@@ -48,7 +50,7 @@ with CarlaEnv(base_url="http://localhost:8000").sync() as env:
 ```bash
 uv run python examples/carla_env/trolley_problems.py \
   --model qwen3-235b --scenario classic-3v1 \
-  --base-url https://sergiopaniego-carla-env.hf.space
+  --base-url https://<your-space>.hf.space
 ```
 
 ## Scenarios
@@ -156,7 +158,7 @@ result = await env.reset(scenario_config={
 
 ## Examples
 
-The [`examples/carla_env/`](https://github.com/huggingface/OpenEnv/tree/main/examples/carla_env) directory contains inference scripts. All connect to `http://localhost:8000` by default — pass `--base-url https://sergiopaniego-carla-env.hf.space` for the live Space.
+The [`examples/carla_env/`](https://github.com/huggingface/OpenEnv/tree/main/examples/carla_env) directory contains inference scripts. All connect to `http://localhost:8000` by default — pass `--base-url https://<your-space>.hf.space` for your running copy of the Space.
 
 ### Trolley Problems
 
@@ -277,7 +279,7 @@ docker build -t carla-env:latest -f server/Dockerfile .
 docker run --gpus all -p 8000:8000 carla-env:latest
 ```
 
-**Live Space**: [sergiopaniego/carla-env](https://huggingface.co/spaces/sergiopaniego/carla-env)
+**Space**: [openenv/carla_env](https://huggingface.co/spaces/openenv/carla_env) (paused, duplicate it with an A10G)
 
 ### Specifications
 

docs/source/environments/chess.md

@@ -7,6 +7,8 @@ A chess reinforcement learning environment for OpenEnv, powered by the [moonfish
 
 *The `/web` playground after a few moves: the board and one button per legal move.*
 
+Try it on the [`openenv/chess_env`](https://huggingface.co/spaces/openenv/chess_env) Space, or connect a client to `https://openenv-chess-env.hf.space`.
+
 ## Features
 
 - **Full chess rules** via python-chess library

docs/source/environments/dipg.md

@@ -1,6 +1,8 @@
 <!-- openenv-source: dipg_safety_env -->
 # DIPG Safety Environment (DIPGSafetyEnv)
 
+Try it on the [`openenv/dipg_safety_env`](https://huggingface.co/spaces/openenv/dipg_safety_env) Space, or connect a client to `https://openenv-dipg-safety-env.hf.space`.
+
 ## Overview
 
 The `DIPGSafetyEnv` is a custom environment built on the OpenEnv framework for Reinforcement Learning research in high-stakes AI safety. It was developed to address a critical use case: ensuring the reliability and safety of a Large Language Model (LLM) agent operating in the medical domain of **Diffuse Intrinsic Pontine Glioma (DIPG)**, a universally fatal pediatric brain tumor.

docs/source/environments/grid_world.md

@@ -7,6 +7,8 @@ A deterministic 5x5 grid world. The agent starts in the top-left corner and must
 
 *The `/web` playground after a few steps: the agent, the goal and one button per direction.*
 
+Try it on the [`openenv/grid_world_env`](https://huggingface.co/spaces/openenv/grid_world_env) Space, or connect a client to `https://openenv-grid-world-env.hf.space`.
+
 ## Quick Start
 
 Start the server from `envs/grid_world_env/`:

docs/source/environments/repl.md

@@ -15,6 +15,8 @@ The package provides:
 - `LocalREPLEnv`: the same environment, in process
 - `LocalRLMRunner`: a local RLM loop that prompts a model, runs its code and handles recursion
 
+Try it on the [`openenv/repl`](https://huggingface.co/spaces/openenv/repl) Space, or connect a client to `https://openenv-repl.hf.space`.
+
 ## Quick Start
 
 Start a server:

docs/source/environments/snake.md

@@ -7,6 +7,8 @@ A multi-agent snake game environment for OpenEnv, based on [marlenv](https://git
 
 *The `/web` playground after a few steps: the snake, the fruit and one button per move.*
 
+Try it on the [`openenv/snake_env`](https://huggingface.co/spaces/openenv/snake_env) Space, or connect a client to `https://openenv-snake-env.hf.space`.
+
 ## Overview
 
 The Snake environment wraps the marlenv Snake-v1 environment to provide a clean OpenEnv-compatible interface. Multiple snakes can battle on a fixed size grid map, but this implementation focuses on single-agent gameplay.

docs/source/environments/sumo.md

@@ -3,6 +3,8 @@
 
 Integration of traffic signal control with the OpenEnv framework via SUMO (Simulation of Urban MObility) and SUMO-RL.
 
+Try it on the [`openenv/sumo_rl_env`](https://huggingface.co/spaces/openenv/sumo_rl_env) Space, or connect a client to `https://openenv-sumo-rl-env.hf.space`.
+
 ## Overview
 
 This environment enables reinforcement learning for **traffic signal control** using SUMO, a microscopic traffic simulation package. Train RL agents to optimize traffic light timing and minimize vehicle delays.

docs/source/environments/tbench2.md

@@ -8,6 +8,8 @@ OpenEnv wrapper for [Terminal-Bench 2](https://github.com/laude-institute/termin
 | **Local** | Runs commands in the server process (no Docker) | Hugging Face Spaces, environments without Docker access |
 | **Docker** | Runs each task in its own container | Full TB2.0 fidelity with custom task images |
 
+Try it on the [`openenv/tbench2`](https://huggingface.co/spaces/openenv/tbench2) Space, or connect a client to `https://openenv-tbench2.hf.space`.
+
 ## Quick Start
 
 ```python

envs/browsergym_env/README.md

@@ -22,6 +22,8 @@ BrowserGym is a unified framework for web-based agent tasks that provides access
 
 *The `/web` playground on MiniWoB `click-test`: the goal, the page URL and the browser screenshot (screenshots on, 320×240 viewport).*
 
+Try it on the [`openenv/browsergym_env`](https://huggingface.co/spaces/openenv/browsergym_env) Space, or connect a client to `https://openenv-browsergym-env.hf.space`.
+
 ## Why BrowserGym?
 
 BrowserGym provides a complete pipeline for developing web agents: train on simple tasks, then evaluate on realistic websites.

envs/carla_env/README.md

@@ -30,6 +30,8 @@ Embodied evaluation environment for testing LLM decision-making in a full 3D dri
 - Free-roam and maze navigation with configurable traffic
 - Rubric-based reward system for RL training
 
+The [`openenv/carla_env`](https://huggingface.co/spaces/openenv/carla_env) Space is paused because CARLA needs a GPU. Duplicate it and pick an A10G in the Space settings to run your own copy.
+
 ## What Makes This Different
 
 Traditional text benchmarks ask models "what would you do?" This environment shows **what models actually do** when:
@@ -64,7 +66,7 @@ with CarlaEnv(base_url="http://localhost:8000").sync() as env:
 ```bash
 uv run python examples/carla_env/trolley_problems.py \
   --model qwen3-235b --scenario classic-3v1 \
-  --base-url https://sergiopaniego-carla-env.hf.space
+  --base-url https://<your-space>.hf.space
 ```
 
 ## Scenarios
@@ -172,7 +174,7 @@ result = await env.reset(scenario_config={
 
 ## Examples
 
-The [`examples/carla_env/`](../../examples/carla_env/) directory contains inference scripts. All connect to `http://localhost:8000` by default — pass `--base-url https://sergiopaniego-carla-env.hf.space` for the live Space.
+The [`examples/carla_env/`](../../examples/carla_env/) directory contains inference scripts. All connect to `http://localhost:8000` by default — pass `--base-url https://<your-space>.hf.space` for your running copy of the Space.
 
 ### Trolley Problems
 
@@ -293,7 +295,7 @@ docker build -t carla-env:latest -f server/Dockerfile .
 docker run --gpus all -p 8000:8000 carla-env:latest
 ```
 
-**Live Space**: [sergiopaniego/carla-env](https://huggingface.co/spaces/sergiopaniego/carla-env)
+**Space**: [openenv/carla_env](https://huggingface.co/spaces/openenv/carla_env) (paused, duplicate it with an A10G)
 
 ### Specifications
 

envs/chess_env/README.md

@@ -19,6 +19,8 @@ A chess reinforcement learning environment for OpenEnv, powered by the [moonfish
 
 *The `/web` playground after a few moves: the board and one button per legal move.*
 
+Try it on the [`openenv/chess_env`](https://huggingface.co/spaces/openenv/chess_env) Space, or connect a client to `https://openenv-chess-env.hf.space`.
+
 ## Features
 
 - **Full chess rules** via python-chess library

envs/dipg_safety_env/README.md

@@ -13,6 +13,8 @@ tags:
 
 # DIPG Safety Environment (DIPGSafetyEnv)
 
+Try it on the [`openenv/dipg_safety_env`](https://huggingface.co/spaces/openenv/dipg_safety_env) Space, or connect a client to `https://openenv-dipg-safety-env.hf.space`.
+
 ## Overview
 
 The `DIPGSafetyEnv` is a custom environment built on the OpenEnv framework for Reinforcement Learning research in high-stakes AI safety. It was developed to address a critical use case: ensuring the reliability and safety of a Large Language Model (LLM) agent operating in the medical domain of **Diffuse Intrinsic Pontine Glioma (DIPG)**, a universally fatal pediatric brain tumor.

envs/grid_world_env/README.md

@@ -18,6 +18,8 @@ A deterministic 5x5 grid world. The agent starts in the top-left corner and must
 
 *The `/web` playground after a few steps: the agent, the goal and one button per direction.*
 
+Try it on the [`openenv/grid_world_env`](https://huggingface.co/spaces/openenv/grid_world_env) Space, or connect a client to `https://openenv-grid-world-env.hf.space`.
+
 ## Quick Start
 
 Start the server from `envs/grid_world_env/`:

envs/repl_env/README.md

@@ -27,6 +27,8 @@ The package provides:
 - `LocalREPLEnv`: the same environment, in process
 - `LocalRLMRunner`: a local RLM loop that prompts a model, runs its code and handles recursion
 
+Try it on the [`openenv/repl`](https://huggingface.co/spaces/openenv/repl) Space, or connect a client to `https://openenv-repl.hf.space`.
+
 ## Quick Start
 
 Start a server:

envs/snake_env/README.md

@@ -19,6 +19,8 @@ A multi-agent snake game environment for OpenEnv, based on [marlenv](https://git
 
 *The `/web` playground after a few steps: the snake, the fruit and one button per move.*
 
+Try it on the [`openenv/snake_env`](https://huggingface.co/spaces/openenv/snake_env) Space, or connect a client to `https://openenv-snake-env.hf.space`.
+
 ## Overview
 
 The Snake environment wraps the marlenv Snake-v1 environment to provide a clean OpenEnv-compatible interface. Multiple snakes can battle on a fixed size grid map, but this implementation focuses on single-agent gameplay.

envs/sumo_rl_env/README.md

@@ -15,6 +15,8 @@ tags:
 
 Integration of traffic signal control with the OpenEnv framework via SUMO (Simulation of Urban MObility) and SUMO-RL.
 
+Try it on the [`openenv/sumo_rl_env`](https://huggingface.co/spaces/openenv/sumo_rl_env) Space, or connect a client to `https://openenv-sumo-rl-env.hf.space`.
+
 ## Overview
 
 This environment enables reinforcement learning for **traffic signal control** using SUMO, a microscopic traffic simulation package. Train RL agents to optimize traffic light timing and minimize vehicle delays.

envs/tbench2_env/README.md

@@ -22,6 +22,8 @@ OpenEnv wrapper for [Terminal-Bench 2](https://github.com/laude-institute/termin
 | **Local** | Runs commands in the server process (no Docker) | Hugging Face Spaces, environments without Docker access |
 | **Docker** | Runs each task in its own container | Full TB2.0 fidelity with custom task images |
 
+Try it on the [`openenv/tbench2`](https://huggingface.co/spaces/openenv/tbench2) Space, or connect a client to `https://openenv-tbench2.hf.space`.
+
 ## Quick Start
 
 ```python