CoPaw-Agent——基于CoPaw的云端和本地化AI科研助手
今天将分享基于CoPaw的云端和本地化AI科研助手完整实现版本，为了方便大家学习理解整个流程，将整个流程步骤进行了整理，并给出详细的步骤结果。感兴趣的朋友赶紧动手试一试吧。一、CoPaw介绍
CoPaw是由agentscope-ai发布的开源个人智能 AI 助理项目，全称常读作 “Co Personal Agent Workstation”（协同个人智能体工作台），定位为可部署在本地或云端、可连接多种对话渠道的 AI 智能体平台。它不是传统的问答机器人，而是一个可主动执行任务、长期记忆、插件式扩展能力的个人 AI 助手，强调简单安装、可扩展和强交互能力。核心定位——个人 AI 助手：围绕个人办公、生活和自动化需求打造的智能体框架。开源 & 可部署：项目已在 GitHub 上以 Apache-2.0 开源，支持本地运行或云端部署。跨渠道交互：原生支持钉钉（DingTalk）、飞书（Feishu）、QQ、Discord、iMessage 等聊天和通讯渠道，无需离开日常使用的应用即可与智能体互动。可扩展能力（Skills）：通过插件式 Skills 添加各种功能，如文档处理、定时任务、新闻摘要等。
二、CoPaw主要特点
1、灵活的部署方式——本地部署和云端部署：可通过云平台一键部署（如 ModelScope / 其他支持的云环境），无需配置环境即可运行。
2、多渠道对话——CoPaw 支持将同一个智能助理连接到多个渠道，用户在常用的聊天应用中发送指令，它都能即时响应，比如：钉钉、飞书、QQ，Discord、iMessage 及其他支持的通讯平台，这样你可以在日常工作聊天界面中直接与 AI 互动。
3、主动能力与长期记忆——CoPaw 不仅回答问题，还可以：主动执行任务（cron / 定时任务）：定时汇报进度、提醒待办、主动推送摘要等。长期记忆体系：保存用户习惯和设定，在后续对话中利用记忆创建更个性化的体验。自主操作能力：可根据 Skills 自动编辑文档、整理文件、抓取信息等。
4、Skills 插件系统——CoPaw 的能力主要由 Skills（技能）定义：内置的 Skills 实现如 PDF 阅读、文档处理、文件管理等功能。开发者可以自定义 Skills，并动态加载，无需修改底层框架即可扩展功能。
5、技术与生态——基于AgentScope技术生态构建（智能体底层支持模块化、通道接入、任务调度等）。采用 Python 实现核心逻辑，易于二次开发与集成。支持各种大模型后端（本地模型如 llama.cpp、云端 API 等）。
6、使用场景举例——个人效率助手：在常用聊天应用中与 AI 互动管理日程、工作提醒、文档处理。自动化集成：设置定时任务汇总新闻、日报生成或提醒待办事项。数据隐私保护：本地运行，数据不离开用户控制范围。办公协同：帮助团队通过企业微信/钉钉等渠道共享智能助理能力。
三、CoPaw安装配置1、官方推荐使用pip来安装。
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pip install copaw
copaw init --defaults
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C:\Windows\system32>pip install copaw
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Installing collected packages: sqlite-vec, pywin32, pypika, pyperclip, flatbuffers, durationpy, crcmod, zipp, wsproto, win32-setctime, websockets, vine, urllib3, tzdata, typing-inspection, tqdm, tenacity, shortuuid, rsa, rpds-py, redis, pyyaml, python-multipart, python-dotenv, pyreadline3, pyproject_hooks, pyjwt, pyfiglet, pyee, pydantic-core, pycryptodome, pybase64, proto-plus, propcache, prompt_toolkit, portalocker, platformdirs, pathspec, pathable, packaging, overrides, orjson, opentelemetry-proto, oauthlib, numpy, mss, mmh3, jsonref, json_repair, jiter, jaraco.functools, hyperframe, httpx-sse, httptools, hpack, greenlet, googleapis-common-protos, filelock, fastuuid, exceptiongroup, docstring_parser, dnspython, distro, click, caio, cachetools, cached-property, billiard, bidict, beartype, bcrypt, backports.tarfile, backoff, attrs, asyncpg, asgiref, anyio, annotated-types, annotated-doc, aiosignal, aiohappyeyeballs, yarl, watchfiles, uvicorn, tzlocal, starlette, sounddevice, simple-websocket, rich, requests, referencing, questionary, python-frontmatter, python-datauri, pydantic, py-key-value-aio, playwright, pgvector, pandas, opentelemetry-exporter-otlp-proto-common, loguru, jaraco.context, importlib-metadata, humanfriendly, h2, email-validator, elastic-transport, click-repl, click-plugins, click-didyoumean, build, amqp, aiofile, typer, tiktoken, sse-starlette, rich-rst, requests-oauthlib, python-engineio, pydantic-settings, posthog, opentelemetry-api, openapi-pydantic, openai, kombu, keyring, jsonschema-specifications, jsonschema-path, google-auth, fastapi, elasticsearch, docker, coloredlogs, authlib, apscheduler, anthropic, aliyun-python-sdk-core, aiohttp, ag-ui-protocol, tavily-python, qdrant-client, python-socketio, opentelemetry-semantic-conventions, onnxruntime, lark-oapi, kubernetes, jsonschema, huggingface-hub, google-api-core, discord-py, dingtalk-stream, dashscope, cyclopts, celery, aliyun-python-sdk-kms, tokenizers, oss2, opentelemetry-sdk, mcp, a2a-sdk, transformers, opentelemetry-exporter-otlp-proto-http, opentelemetry-exporter-otlp-proto-grpc, litellm, fastmcp, opentelemetry-exporter-otlp, flowllm, chromadb, agentscope, reme-ai, agentscope-runtime, copaw
Successfully installed a2a-sdk-0.3.24 ag-ui-protocol-0.1.13 agentscope-1.0.16.dev0 agentscope-runtime-1.1.0 aiofile-3.9.0 aiohappyeyeballs-2.6.1 aiohttp-3.13.3 aiosignal-1.4.0 aliyun-python-sdk-core-2.16.0 aliyun-python-sdk-kms-2.16.5 amqp-5.3.1 annotated-doc-0.0.4 annotated-types-0.7.0 anthropic-0.84.0 anyio-4.12.1 apscheduler-3.11.2 asgiref-3.11.1 asyncpg-0.31.0 attrs-25.4.0 authlib-1.6.8 backoff-2.2.1 backports.tarfile-1.2.0 bcrypt-5.0.0 beartype-0.22.9 bidict-0.23.1 billiard-4.2.4 build-1.4.0 cached-property-2.0.1 cachetools-7.0.1 caio-0.9.25 celery-5.6.2 chromadb-1.5.2 click-8.3.1 click-didyoumean-0.3.1 click-plugins-1.1.1.2 click-repl-0.3.0 coloredlogs-15.0.1 copaw-0.0.3 crcmod-1.7 cyclopts-4.6.0 dashscope-1.25.12 dingtalk-stream-0.24.3 discord-py-2.7.0 distro-1.9.0 dnspython-2.8.0 docker-7.1.0 docstring_parser-0.17.0 durationpy-0.10 elastic-transport-9.2.1 elasticsearch-9.3.0 email-validator-2.3.0 exceptiongroup-1.3.1 fastapi-0.134.0 fastmcp-3.0.2 fastuuid-0.14.0 filelock-3.24.3 flatbuffers-25.12.19 flowllm-0.2.0.10 google-api-core-2.30.0 google-auth-2.48.0 googleapis-common-protos-1.72.0 greenlet-3.3.2 h2-4.3.0 hpack-4.1.0 httptools-0.7.1 httpx-sse-0.4.3 huggingface-hub-1.5.0 humanfriendly-10.0 hyperframe-6.1.0 importlib-metadata-8.7.1 jaraco.context-6.1.0 jaraco.functools-4.4.0 jiter-0.13.0 json_repair-0.58.0 jsonref-1.1.0 jsonschema-4.26.0 jsonschema-path-0.4.3 jsonschema-specifications-2025.9.1 keyring-25.7.0 kombu-5.6.2 kubernetes-35.0.0 lark-oapi-1.5.3 litellm-1.81.16 loguru-0.7.3 mcp-1.26.0 mmh3-5.2.0 mss-10.1.0 numpy-2.4.2 oauthlib-3.3.1 onnxruntime-1.23.2 openai-2.24.0 openapi-pydantic-0.5.1 opentelemetry-api-1.39.1 opentelemetry-exporter-otlp-1.39.1 opentelemetry-exporter-otlp-proto-common-1.39.1 opentelemetry-exporter-otlp-proto-grpc-1.39.1 opentelemetry-exporter-otlp-proto-http-1.39.1 opentelemetry-proto-1.39.1 opentelemetry-sdk-1.39.1 opentelemetry-semantic-conventions-0.60b1 orjson-3.11.7 oss2-2.19.1 overrides-7.7.0 packaging-26.0 pandas-3.0.1 pathable-0.5.0 pathspec-1.0.4 pgvector-0.4.2 platformdirs-4.9.2 playwright-1.58.0 portalocker-3.2.0 posthog-5.4.0 prompt_toolkit-3.0.52 propcache-0.4.1 proto-plus-1.27.1 py-key-value-aio-0.4.4 pybase64-1.4.3 pycryptodome-3.23.0 pydantic-2.12.5 pydantic-core-2.41.5 pydantic-settings-2.13.1 pyee-13.0.1 pyfiglet-1.0.4 pyjwt-2.11.0 pyperclip-1.11.0 pypika-0.51.1 pyproject_hooks-1.2.0 pyreadline3-3.5.4 python-datauri-3.0.2 python-dotenv-1.2.1 python-engineio-4.13.1 python-frontmatter-1.1.0 python-multipart-0.0.22 python-socketio-5.16.1 pywin32-311 pyyaml-6.0.3 qdrant-client-1.17.0 questionary-2.1.1 redis-6.4.0 referencing-0.37.0 reme-ai-0.3.0.0b5 requests-2.32.5 requests-oauthlib-2.0.0 rich-14.3.3 rich-rst-1.3.2 rpds-py-0.30.0 rsa-4.9.1 shortuuid-1.0.13 simple-websocket-1.1.0 sounddevice-0.5.5 sqlite-vec-0.1.6 sse-starlette-3.2.0 starlette-0.52.1 tavily-python-0.7.22 tenacity-9.1.4 tiktoken-0.12.0 tokenizers-0.22.2 tqdm-4.67.3 transformers-5.2.0 typer-0.24.1 typing-inspection-0.4.2 tzdata-2025.3 tzlocal-5.3.1 urllib3-2.6.3 uvicorn-0.41.0 vine-5.1.0 watchfiles-1.1.1 websockets-16.0 win32-setctime-1.2.0 wsproto-1.3.2 yarl-1.22.0 zipp-3.23.0
WARNING: There was an error checking the latest version of pip.复制成功
其中在init阶段因为某些库的版本不符，只需要对库进行指定版本安装即可，如下所示，安装完成后再重新init即可，最后再启动后端服务。
代码块
PlainText
自动换行
复制代码
C:\Windows\system32>copaw init --defaults
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "C:\anaconda3\Scripts\copaw.exe\__main__.py", line 4, in <module>
File "C:\anaconda3\Lib\site-packages\copaw\cli\main.py", line 70, in <module>
from .init_cmd import init_cmd # noqa: E402
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\anaconda3\Lib\site-packages\copaw\cli\init_cmd.py", line 12, in <module>
from .providers_cmd import configure_providers_interactive
File "C:\anaconda3\Lib\site-packages\copaw\cli\providers_cmd.py", line 9, in <module>
from ..providers import (
File "C:\anaconda3\Lib\site-packages\copaw\providers\__init__.py", line 15, in <module>
from .registry import (
File "C:\anaconda3\Lib\site-packages\copaw\providers\registry.py", line 9, in <module>
from agentscope.model import ChatModelBase, OpenAIChatModel
File "C:\anaconda3\Lib\site-packages\agentscope\__init__.py", line 49, in <module>
from . import memory
File "C:\anaconda3\Lib\site-packages\agentscope\memory\__init__.py", line 4, in <module>
from ._working_memory import (
File "C:\anaconda3\Lib\site-packages\agentscope\memory\_working_memory\__init__.py", line 9, in <module>
from ._sqlalchemy_memory import AsyncSQLAlchemyMemory
File "C:\anaconda3\Lib\site-packages\agentscope\memory\_working_memory\_sqlalchemy_memory.py", line 17, in <module>
from sqlalchemy.ext.asyncio import (
ImportError: cannot import name 'async_sessionmaker' from 'sqlalchemy.ext.asyncio' (C:\anaconda3\Lib\site-packages\sqlalchemy\ext\asyncio\__init__.py)
C:\Windows\system32>pip show sqlalchemy
Name: SQLAlchemy
Version: 1.4.39
Summary: Database Abstraction Library
Home-page: https://www.sqlalchemy.org
Author: Mike Bayer
Author-email: mike_mp@zzzcomputing.com
License: MIT
Location: C:\anaconda3\Lib\site-packages
Requires: greenlet
Required-by: agentscope
C:\Windows\system32>pip install sqlalchemy==2.0.25
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting sqlalchemy==2.0.25
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/22/80/43ddb1ddeafdcbc3073c0e7a7d45b17678eeac4830c7e91bd6556527f311/SQLAlchemy-2.0.25-cp311-cp311-win_amd64.whl (2.1 MB)
---------------------------------------- 2.1/2.1 MB 26.4 MB/s eta 0:00:00
Requirement already satisfied: typing-extensions>=4.6.0 in c:\anaconda3\lib\site-packages (from sqlalchemy==2.0.25) (4.15.0)
Requirement already satisfied: greenlet!=0.4.17 in c:\anaconda3\lib\site-packages (from sqlalchemy==2.0.25) (3.3.2)
Installing collected packages: sqlalchemy
Attempting uninstall: sqlalchemy
Found existing installation: SQLAlchemy 1.4.39
Uninstalling SQLAlchemy-1.4.39:
Successfully uninstalled SQLAlchemy-1.4.39
Successfully installed sqlalchemy-2.0.25
WARNING: There was an error checking the latest version of pip.复制成功
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C:\Windows\system32>copaw init --defaults
Working dir: C:\Users\Administrator\.copaw
╭──────────────────────────────────────── 🐾 Security warning — please read ─────────────────────────────────────────╮
│ Security warning — please read. │
│ │
│ CoPaw is a personal assistant that runs in your own environment. It can connect to │
│ channels (DingTalk, Feishu, QQ, Discord, iMessage, etc.) and run skills that read │
│ files, run commands, and call external APIs. By default it is a single-operator │
│ boundary: one trusted user. A malicious or confused prompt can lead the agent to │
│ do unsafe things if tools are enabled. │
│ │
│ If multiple people can message the same CoPaw instance with tools enabled, they │
│ share the same delegated authority (files, commands, secrets the agent can use). │
│ │
│ If you are not comfortable with access control and hardening, do not run CoPaw with │
│ tools or expose it to untrusted users. Get help from someone experienced before │
│ enabling powerful skills or exposing the bot to the internet. │
│ │
│ Recommended baseline: │
│ - Restrict which channels and users can trigger the agent; use allowlists where possible. │
│ - Multi-user or shared inbox: use separate config/credentials and ideally separate │
│ OS users or hosts per trust boundary. │
│ - Run skills with least privilege; sandbox where you can. │
│ - Keep secrets out of the agent's working directory and skill-accessible paths. │
│ - Use a capable model when the agent has tools or handles untrusted input. │
│ │
│ Review your config and skills regularly; limit tool scope to what you need. │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
? Have you read and accepted the security notice above? (yes to continue, no to abort) Yes
✓ Configuration saved to C:\Users\Administrator\.copaw\config.json
=== LLM Provider Configuration (required) ===
No default model for Ollama. Run 'copaw models config' to set one.
Enabling all skills by default (skip existing)...
✓ All 10 skills enabled.
Checking MD files [language: zh]...
✓ Copied 6 md file(s): AGENTS.md, BOOTSTRAP.md, HEARTBEAT.md, MEMORY.md, PROFILE.md, SOUL.md
✓ HEARTBEAT.md already present, skipped.
✓ Initialization complete!复制成功
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C:\Windows\system32>copaw app
C:\anaconda3\Lib\site-packages\uvicorn\protocols\websockets\websockets_impl.py:17: DeprecationWarning: websockets.server.WebSocketServerProtocol is deprecated
from websockets.server import WebSocketServerProtocol
C:\anaconda3\Lib\site-packages\pandas\core\computation\expressions.py:22: UserWarning: Pandas requires version '2.10.2' or newer of 'numexpr' (version '2.8.4' currently installed).
from pandas.core.computation.check import NUMEXPR_INSTALLED
C:\anaconda3\Lib\site-packages\pandas\core\arrays\masked.py:56: UserWarning: Pandas requires version '1.4.2' or newer of 'bottleneck' (version '1.3.5' currently installed).
from pandas.core import (
[NacosRegistry] Nacos SDK (nacos-sdk-python) is not available. Install it with: pip install nacos-sdk-python
INFO C:\anaconda3\Lib\site-packages\copaw\app\_app.py:183 | 2026-02-28 16:12:36 | STATIC_DIR: C:\anaconda3\Lib\site-packages\copaw\console
INFO: Started server process [4948]
INFO: Waiting for application startup.
WARNING C:\anaconda3\Lib\site-packages\copaw\agents\memory\memory_manager.py:330 | 2026-02-28 16:12:36 | Vector search disabled. Memory search functionality will be restricted. To enable, configure: EMBEDDING_API_KEY, EMBEDDING_BASE_URL, EMBEDDING_MODEL_NAME, and EMBEDDING_DIMENSIONS.
2026-02-28 16:12:36.622 | INFO | reme.core.service_context:__init__:87 - update with args: ['config=file'] kwargs: {'embedding_models': {'default': {'model_name': 'text-embedding-v4', 'dimensions': 1024, 'enable_cache': True}}, 'file_stores': {'default': {'backend': 'local', 'store_name': 'copaw', 'vector_enabled': False, 'fts_enabled': True}}, 'file_watchers': {'default': {'watch_paths': ['C:\\Users\\Administrator\\.copaw\\MEMORY.md', 'C:\\Users\\Administrator\\.copaw\\memory.md', 'C:\\Users\\Administrator\\.copaw\\memory']}}, 'enable_logo': False, 'log_to_console': False, 'working_dir': 'C:\\Users\\Administrator\\.copaw'}
2026-02-28 16:12:36.622 | INFO | reme.core.utils.pydantic_config_parser:_find_config_path:138 - load config=C:\anaconda3\Lib\site-packages\reme\config\file.yaml
INFO C:\anaconda3\Lib\site-packages\copaw\app\channels\console\channel.py:312 | 2026-02-28 16:12:36 | Console channel started
INFO C:\anaconda3\Lib\site-packages\copaw\config\watcher.py:49 | 2026-02-28 16:12:36 | ConfigWatcher started (poll=2.0s, path=C:\Users\Administrator\.copaw\config.json)
INFO: Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:8088 (Press CTRL+C to quit)复制成功
2、在浏览器中输入http://127.0.0.1:8088即可进行接下来的Agent配置，如下所示。
注意：在window中网页打开前端可能会不显示上面窗口，浏览器控制台出现如下错误。解决方法只需要通过以无痕模型打开浏览器在输入http://127.0.0.1:8088即可。
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Failed
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3、CoPaw配置3.1、飞书频道配置输入ID和密钥。
3.2、技能配置默认是10个技能，也可以添加OpenClaw支持的技能。
3.3、联网搜索MCP配置。注册Tavily 账号获取API Key输入到配置中，这样智能体就具有联网搜索能力。
3.4、大语言模型配置。模型支持云端和本地大模型，例如ModelScope需要输入API key即可。在这里我选择Ollama本地大模型，选择Qwen3：8b，API key输入ollama或者其他即可。
注意：在使用Ollama本地大模型的时候，需要安装Ollama的python库，通过pip install ollama一键安装即可。四、CoPaw医学数据集收集整理案例输入找一些公开的头颈部CTA血管分割开源数据集。可以看到联网搜索工具Tavily 会去各种数据源联网寻找相关资料，然后再由Qwen3：8b进行整理归纳出结果输出。
点击阅读原文可以访问参考项目，如果大家觉得这个项目还不错，希望大家给个Star并Fork，可以让更多的人学习。如果有任何问题，随时给我留言我会及时回复的。
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