feat: add adapter code + Dockerfile for standalone deployment

Adapters extracted from molecule-monorepo/workspace-template.
Uses molecule-ai-workspace-runtime PyPI package for shared infrastructure.

- adapter.py — runtime-specific adapter class
- requirements.txt — runtime-specific deps + molecule-ai-workspace-runtime
- Dockerfile — FROM python:3.11-slim, pip install, COPY adapter, molecule-runtime entrypoint
- ADAPTER_MODULE=adapter tells the runtime to load this repo's Adapter class

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Dockerfile

@@ -0,0 +1,18 @@
+FROM python:3.11-slim
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    curl gosu ca-certificates \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN useradd -u 1000 -m -s /bin/bash agent
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY adapter.py .
+COPY __init__.py .
+
+ENV ADAPTER_MODULE=adapter
+
+ENTRYPOINT ["molecule-runtime"]

__init__.py

@@ -0,0 +1,3 @@
+from .adapter import LangGraphAdapter
+
+Adapter = LangGraphAdapter

adapter.py

@@ -0,0 +1,50 @@
+"""LangGraph adapter — Python-based ReAct agent with skills, tools, and plugins."""
+
+import os
+import logging
+
+from molecule_runtime.adapters.base import BaseAdapter, AdapterConfig
+from a2a.server.agent_execution import AgentExecutor
+
+logger = logging.getLogger(__name__)
+
+
+class LangGraphAdapter(BaseAdapter):
+
+    @staticmethod
+    def name() -> str:
+        return "langgraph"
+
+    @staticmethod
+    def display_name() -> str:
+        return "LangGraph"
+
+    @staticmethod
+    def description() -> str:
+        return "LangGraph ReAct agent — Python-based with skills, tools, plugins, and peer coordination"
+
+    @staticmethod
+    def get_config_schema() -> dict:
+        return {
+            "model": {"type": "string", "description": "LangChain model string (e.g. openrouter:google/gemini-2.5-flash)"},
+            "skills": {"type": "array", "items": {"type": "string"}, "description": "Skill folder names to load"},
+            "tools": {"type": "array", "items": {"type": "string"}, "description": "Built-in tools (web_search, filesystem, etc.)"},
+        }
+
+    def __init__(self):
+        self.loaded_skills = []
+        self.all_tools = []
+        self.system_prompt = None
+
+    async def setup(self, config: AdapterConfig) -> None:
+        result = await self._common_setup(config)
+        self.loaded_skills = result.loaded_skills
+        self.all_tools = result.langchain_tools
+        self.system_prompt = result.system_prompt
+
+    async def create_executor(self, config: AdapterConfig) -> AgentExecutor:
+        from agent import create_agent
+        from a2a_executor import LangGraphA2AExecutor
+
+        agent = create_agent(config.model, self.all_tools, self.system_prompt)
+        return LangGraphA2AExecutor(agent, heartbeat=config.heartbeat, model=config.model)

requirements.txt

@@ -0,0 +1,11 @@
+# Molecule AI workspace runtime — shared infrastructure
+molecule-ai-workspace-runtime>=0.1.0
+
+# LangGraph adapter specific deps
+langchain-core==1.2.26
+langchain-anthropic==1.4.0
+langchain-openai==1.1.12
+langchain-google-genai>=2.1.0
+langgraph==1.1.6
+langfuse==4.0.6
+e2b-code-interpreter==1.0.3