Memory that persists across every AutoGen GroupChat

import os, requests import autogen REM = "https://remlabs.ai/v1" H = {"Authorization": f"Bearer {os.environ['REM_API_KEY']}", "Content-Type": "application/json"} NS = "autogen-groupchat-alpha" def recall(query: str) -> str: """Search the shared long-term memory for prior context.""" r = requests.post(f"{REM}/memory-search-semantic", headers=H, json={"namespace": NS, "query": query, "limit": 8}).json() return "\n".join(f"- {m['value'][:240]}" for m in r.get("results", [])) or "(empty)" def remember(fact: str) -> str: """Save a fact or decision for all agents (now and future runs).""" requests.post(f"{REM}/memory-set", headers=H, json={"namespace": NS, "key": fact[:40], "value": fact}) return "stored" cfg = {"config_list": [{"model": "gpt-4o", "api_key": os.environ["OPENAI_API_KEY"]}]} assistant = autogen.AssistantAgent("assistant", llm_config=cfg) critic = autogen.AssistantAgent("critic", llm_config=cfg, system_message="You check the assistant's claims against shared memory via recall().") user = autogen.UserProxyAgent("user", human_input_mode="NEVER", code_execution_config={"use_docker": False}) for agent in (assistant, critic): autogen.register_function(recall, caller=agent, executor=user, description="Search the shared persistent memory.") autogen.register_function(remember, caller=agent, executor=user, description="Store a fact for the whole group and future runs.") group = autogen.GroupChat(agents=[user, assistant, critic], messages=[], max_round=8) manager = autogen.GroupChatManager(groupchat=group, llm_config=cfg) user.initiate_chat(manager, message="Research and decide: which framework for the new agent?")