NousResearch · alt-glitch · May 15, 2026 · May 15, 2026 · May 15, 2026 · May 15, 2026
diff --git a/.env.example b/.env.example
@@ -394,24 +394,6 @@ IMAGE_TOOLS_DEBUG=false
 # CONTEXT_COMPRESSION_THRESHOLD=0.85      # Compress at 85% of context limit
 # Model is set via compression.summary_model in config.yaml (default: google/gemini-3-flash-preview)
 
-# =============================================================================
-# RL TRAINING (Tinker + Atropos)
-# =============================================================================
-# Run reinforcement learning training on language models using the Tinker API.
-# Requires the rl-server to be running (from tinker-atropos package).
-
-# Tinker API Key - RL training service
-# Get at: https://tinker-console.thinkingmachines.ai/keys
-# TINKER_API_KEY=
-
-# Weights & Biases API Key - Experiment tracking and metrics
-# Get at: https://wandb.ai/authorize
-# WANDB_API_KEY=
-
-# RL API Server URL (default: http://localhost:8080)
-# Change if running the rl-server on a different host/port
-# RL_API_URL=http://localhost:8080
-
 # =============================================================================
 # SKILLS HUB (GitHub integration for skill search/install/publish)
 # =============================================================================

diff --git a/.gitmodules b/.gitmodules
diff --git a/AGENTS.md b/AGENTS.md
@@ -56,7 +56,6 @@ hermes-agent/
 ├── tui_gateway/          # Python JSON-RPC backend for the TUI
 ├── acp_adapter/          # ACP server (VS Code / Zed / JetBrains integration)
 ├── cron/                 # Scheduler — jobs.py, scheduler.py
-├── environments/         # RL training environments (Atropos)
 ├── scripts/              # run_tests.sh, release.py, auxiliary scripts
 ├── website/              # Docusaurus docs site
 └── tests/                # Pytest suite (~17k tests across ~900 files as of May 2026)

diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
@@ -91,9 +91,6 @@ export VIRTUAL_ENV="$(pwd)/venv"
 # Install with all extras (messaging, cron, CLI menus, dev tools)
 uv pip install -e ".[all,dev]"
 
-# Optional: RL training submodule
-# git submodule update --init tinker-atropos && uv pip install -e "./tinker-atropos"
-
 # Optional: browser tools
 npm install
 ```
@@ -196,7 +193,6 @@ hermes-agent/
 │
 ├── skills/                   # Bundled skills (copied to ~/.hermes/skills/ on install)
 ├── optional-skills/          # Official optional skills (discoverable via hub, not activated by default)
-├── environments/             # RL training environments (Atropos integration)
 ├── tests/                    # Test suite
 ├── website/                  # Documentation site (hermes-agent.nousresearch.com)
 │

diff --git a/README.md b/README.md
@@ -23,7 +23,7 @@ Use any model you want — [Nous Portal](https://portal.nousresearch.com), [Open
 <tr><td><b>Scheduled automations</b></td><td>Built-in cron scheduler with delivery to any platform. Daily reports, nightly backups, weekly audits — all in natural language, running unattended.</td></tr>
 <tr><td><b>Delegates and parallelizes</b></td><td>Spawn isolated subagents for parallel workstreams. Write Python scripts that call tools via RPC, collapsing multi-step pipelines into zero-context-cost turns.</td></tr>
 <tr><td><b>Runs anywhere, not just your laptop</b></td><td>Seven terminal backends — local, Docker, SSH, Singularity, Modal, Daytona, and Vercel Sandbox. Daytona and Modal offer serverless persistence — your agent's environment hibernates when idle and wakes on demand, costing nearly nothing between sessions. Run it on a $5 VPS or a GPU cluster.</td></tr>
-<tr><td><b>Research-ready</b></td><td>Batch trajectory generation, Atropos RL environments, trajectory compression for training the next generation of tool-calling models.</td></tr>
+<tr><td><b>Research-ready</b></td><td>Batch trajectory generation, trajectory compression for training the next generation of tool-calling models.</td></tr>
 </table>
 
 ---
@@ -175,8 +175,6 @@ uv pip install -e ".[all,dev]"
 scripts/run_tests.sh
 ```
 
-> **RL Training (optional):** The RL/Atropos integration (`environments/`) — see [`CONTRIBUTING.md`](https://github.com/NousResearch/hermes-agent/blob/main/CONTRIBUTING.md#development-setup) for the full setup.
-
 ---
 
 ## Community

diff --git a/README.zh-CN.md b/README.zh-CN.md
@@ -23,7 +23,7 @@
 <tr><td><b>定时自动化</b></td><td>内置 cron 调度器，支持向任何平台投递。日报、夜间备份、周审计——全部用自然语言描述，无人值守运行。</td></tr>
 <tr><td><b>委派与并行</b></td><td>生成隔离子代理处理并行工作流。编写 Python 脚本通过 RPC 调用工具，将多步管道压缩为零上下文开销的轮次。</td></tr>
 <tr><td><b>随处运行</b></td><td>六种终端后端——本地、Docker、SSH、Daytona、Singularity 和 Modal。Daytona 和 Modal 提供 Serverless 持久化——代理环境空闲时休眠、按需唤醒，空闲期间几乎零成本。$5 VPS 或 GPU 集群都能跑。</td></tr>
-<tr><td><b>研究就绪</b></td><td>批量轨迹生成、Atropos RL 环境、轨迹压缩——用于训练下一代工具调用模型。</td></tr>
+<tr><td><b>研究就绪</b></td><td>批量轨迹生成、轨迹压缩——用于训练下一代工具调用模型。</td></tr>
 </table>
 
 ---
@@ -161,12 +161,6 @@ uv pip install -e ".[all,dev]"
 python -m pytest tests/ -q
 ```
 
-> **RL 训练（可选）：** 如需参与 RL/Tinker-Atropos 集成开发：
-> ```bash
-> git submodule update --init tinker-atropos
-> uv pip install -e "./tinker-atropos"
-> ```
-
 ---
 
 ## 社区

diff --git a/agent/display.py b/agent/display.py
@@ -240,21 +240,6 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
             msg = msg[:17] + "..."
         return f"to {target}: \"{msg}\""
 
-    if tool_name.startswith("rl_"):
-        rl_previews = {
-            "rl_list_environments": "listing envs",
-            "rl_select_environment": args.get("name", ""),
-            "rl_get_current_config": "reading config",
-            "rl_edit_config": f"{args.get('field', '')}={args.get('value', '')}",
-            "rl_start_training": "starting",
-            "rl_check_status": args.get("run_id", "")[:16],
-            "rl_stop_training": f"stopping {args.get('run_id', '')[:16]}",
-            "rl_get_results": args.get("run_id", "")[:16],
-            "rl_list_runs": "listing runs",
-            "rl_test_inference": f"{args.get('num_steps', 3)} steps",
-        }
-        return rl_previews.get(tool_name)
-
     key = primary_args.get(tool_name)
     if not key:
         for fallback_key in ("query", "text", "command", "path", "name", "prompt", "code", "goal"):
@@ -981,15 +966,6 @@ def _wrap(line: str) -> str:
         if action == "list":
             return _wrap(f"┊ ⏰ cron      listing  {dur}")
         return _wrap(f"┊ ⏰ cron      {action} {args.get('job_id', '')}  {dur}")
-    if tool_name.startswith("rl_"):
-        rl = {
-            "rl_list_environments": "list envs", "rl_select_environment": f"select {args.get('name', '')}",
-            "rl_get_current_config": "get config", "rl_edit_config": f"set {args.get('field', '?')}",
-            "rl_start_training": "start training", "rl_check_status": f"status {args.get('run_id', '?')[:12]}",
-            "rl_stop_training": f"stop {args.get('run_id', '?')[:12]}", "rl_get_results": f"results {args.get('run_id', '?')[:12]}",
-            "rl_list_runs": "list runs", "rl_test_inference": "test inference",
-        }
-        return _wrap(f"┊ 🧪 rl        {rl.get(tool_name, tool_name.replace('rl_', ''))}  {dur}")
     if tool_name == "execute_code":
         code = args.get("code", "")
         first_line = code.strip().split("\n")[0] if code.strip() else ""

diff --git a/cli-config.yaml.example b/cli-config.yaml.example
@@ -457,7 +457,7 @@ prompt_caching:
 # Two stores: MEMORY.md (agent's notes) and USER.md (user profile).
 # Character limits keep the memory small and focused. The agent manages
 # pruning -- when at the limit, it must consolidate or replace entries.
-# Disabled by default in batch_runner and RL environments.
+# Disabled by default in batch_runner.
 #
 memory:
   # Agent's personal notes: environment facts, conventions, things learned
@@ -715,10 +715,9 @@ platform_toolsets:
 #   todo         - todo (in-memory task planning, no deps)
 #   tts          - text_to_speech  (Edge TTS free, or ELEVENLABS/OPENAI/MINIMAX/MISTRAL key)
 #   cronjob      - cronjob (create/list/update/pause/resume/run/remove scheduled tasks)
-#   rl           - rl_list_environments, rl_start_training, etc. (requires TINKER_API_KEY)
 #
 # PRESETS (curated bundles):
-#   hermes-cli       - All of the above except rl + send_message
+#   hermes-cli       - All of the above except send_message
 #   hermes-telegram  - terminal, file, web, vision, image_gen, tts, browser,
 #                      skills, todo, cronjob, send_message
 #   hermes-discord   - Same as hermes-telegram
@@ -744,7 +743,6 @@ platform_toolsets:
 #   session_search - Search and recall past conversations (FTS5 + Gemini Flash summarization)
 #   tts          - Text-to-speech (Edge TTS free, ElevenLabs, OpenAI, MiniMax, Mistral)
 #   cronjob      - Schedule and manage automated tasks (CLI-only)
-#   rl           - RL training tools (Tinker-Atropos)
 #
 # Composite toolsets:
 #   debugging    - terminal + web + file (for troubleshooting)