Skip to main content
Glama

MemOS-MCP

by qinshu1109
Apache 2.0
3
  • Linux
  • Apple
chat_w_scheduler.py1.99 kB
import shutil import uuid from pathlib import Path from memos.configs.mem_cube import GeneralMemCubeConfig from memos.configs.mem_os import MOSConfig from memos.mem_cube.general import GeneralMemCube from memos.mem_os.main import MOS from memos.mem_scheduler.utils import parse_yaml # init MOS config = parse_yaml("./examples/data/config/mem_scheduler/memos_config_w_scheduler.yaml") mos_config = MOSConfig(**config) mos = MOS(mos_config) # create user user_id = str(uuid.uuid4()) mos.create_user(user_id=user_id) config = GeneralMemCubeConfig.from_yaml_file( "./examples/data/config/mem_scheduler/mem_cube_config.yaml" ) mem_cube_id = "mem_cube_5" mem_cube_name_or_path = f"./outputs/mem_scheduler/{user_id}/{mem_cube_id}" if Path(mem_cube_name_or_path).exists(): shutil.rmtree(mem_cube_name_or_path) print(f"{mem_cube_name_or_path} is not empty, and has been removed.") mem_cube = GeneralMemCube(config) mem_cube.dump(mem_cube_name_or_path) mos.register_mem_cube( mem_cube_name_or_path=mem_cube_name_or_path, mem_cube_id=mem_cube_id, user_id=user_id ) messages = [ {"role": "user", "content": "I like playing football."}, {"role": "assistant", "content": "I like playing football too."}, ] mos.add(messages, user_id=user_id, mem_cube_id=mem_cube_id) while True: user_input = input("👤 [You] ").strip() print() response = mos.chat(user_input, user_id=user_id) retrieved_memories = mos.get_all(mem_cube_id=mem_cube_id, user_id=user_id) print(f"🤖 [Assistant] {response}\n") for node in retrieved_memories["text_mem"][0]["memories"]["nodes"]: if node["metadata"]["memory_type"] == "WorkingMemory": print(f"🤖 [Assistant]working mem : {node['memory']}\n") if retrieved_memories["act_mem"][0]["memories"]: for act_mem in retrieved_memories["act_mem"][0]["memories"]: print(f"🤖 [Assistant]act_mem: {act_mem['memory']}\n") else: print("🤖 [Assistant]act_mem: None\n")

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/qinshu1109/memos-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server