Reference implementation of CogProfile — the AI cognitive identity standard
Project description
CogProfile Python SDK
把对话记忆变成持续进化的认知身份证。
CogProfile 是一个开放标准,定义了 AI 系统如何表达对一个人的理解。本仓库是它的 Python 参考实现。
和现有工具的区别
Mem0、Memobase 做的是记忆存储——记住用户说了什么。
CogProfile 做的是认知建模——理解用户说的这些话意味着什么。
Mem0/Memobase 输出:
用户是程序员,喜欢咖啡,在北京工作
CogProfile 输出:
用户是程序员,但最近三周5次提到想转产品经理
情绪持续两周下滑(0.7 → 0.3),主要触发因素是工作压力
和上级关系恶化中(3个月内从正面转向负面)
行为规律:提到加班后2天内会聊美食(出现3次)
学日语的目标40天未提及,可能已放弃
安装
pip install cogprofile
快速开始
import asyncio
from datetime import datetime, timedelta
from cogprofile import CogProfileEngine, Memory
engine = CogProfileEngine(
llm_api_key="sk-xxx",
llm_provider="deepseek", # 也支持 dashscope / moonshot / zhipu / openai
)
memories = [
Memory(id="1", user_id="u1", content="新项目开始了,很兴奋",
created_at=datetime.now() - timedelta(days=14)),
Memory(id="2", user_id="u1", content="连续加班一周,感觉很疲惫",
created_at=datetime.now() - timedelta(days=2)),
]
async def main():
profile = await engine.update(user_id="u1", memories=memories)
print(profile.emotion.current.label) # "stressed"
print(profile.emotion.trend.direction) # "declining"
print(profile.goals.fading) # 正在放弃的目标列表
asyncio.run(main())
对接已有记忆系统
Mem0
from mem0 import Memory as Mem0Memory
from cogprofile import CogProfileEngine
from cogprofile.storage import Mem0Adapter
mem0 = Mem0Memory()
store = Mem0Adapter(mem0_client=mem0)
engine = CogProfileEngine(llm_api_key="sk-xxx", store=store)
profile = await engine.update(user_id="user_001")
自定义数据库
from cogprofile.storage import MemoryStore
class MyStore(MemoryStore):
async def get_memories(self, user_id, since=None, until=None, category=None, limit=500):
rows = await my_db.query(...)
return [Memory(...) for row in rows]
async def get_all_users(self):
return await my_db.query("SELECT DISTINCT user_id FROM memories")
认知身份证包含什么
| 模块 | 内容 | 示例 |
|---|---|---|
| 身份 | 静态事实和偏好 | 姓名、职业、饮食偏好 |
| 情绪 | 情感状态和变化轨迹 | "压力持续两周上升,触发因素是工作" |
| 注意力 | 话题焦点和异常 | "工作压力最近7天提了8次,异常升温" |
| 目标 | 计划和承诺追踪 | "学日语:提了3次,然后40天没再提" |
| 关系 | 关键人物和关系动态 | "对李经理的态度连续3个月恶化" |
| 模式 | 行为规律 | "提到加班后2天内会聊美食" |
| 预测 | 前瞻推断 | "可能1-2周内提出离职" |
支持的大模型
| 提供商 | provider 值 | 默认模型 |
|---|---|---|
| DeepSeek | deepseek |
deepseek-chat |
| 阿里通义 | dashscope |
qwen-plus |
| Moonshot | moonshot |
moonshot-v1-8k |
| 智谱AI | zhipu |
glm-4-flash |
| OpenAI | openai |
gpt-4o-mini |
规范
完整的 CogProfile 数据格式定义见:cogprofile-spec
许可证
Apache 2.0
引用
@misc{cogprofile2026,
title={CogProfile: An Open Standard for AI Cognitive Identity},
author={CogProfile Project},
year={2026},
url={https://github.com/cogprofile/cogprofile-spec}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cogprofile-0.1.0.tar.gz.
File metadata
- Download URL: cogprofile-0.1.0.tar.gz
- Upload date:
- Size: 22.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0969e6594dd6cccf7037826f12649b1142f565c119c6e5d086aa77763cd8f16a
|
|
| MD5 |
b1fa4896c2223dfda3caba90e79e189e
|
|
| BLAKE2b-256 |
ed690848addbf290207e7c633e64bcf3e12ab47fa45ca7a927abb0d402f3274c
|
Provenance
The following attestation bundles were made for cogprofile-0.1.0.tar.gz:
Publisher:
publish.yml on cogprofile/cogprofile-python
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
cogprofile-0.1.0.tar.gz -
Subject digest:
0969e6594dd6cccf7037826f12649b1142f565c119c6e5d086aa77763cd8f16a - Sigstore transparency entry: 1107630454
- Sigstore integration time:
-
Permalink:
cogprofile/cogprofile-python@c89d2a0022929e21a6e36096ce7098211a7d8db6 -
Branch / Tag:
refs/tags/v0.1.0 - Owner: https://github.com/cogprofile
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@c89d2a0022929e21a6e36096ce7098211a7d8db6 -
Trigger Event:
push
-
Statement type:
File details
Details for the file cogprofile-0.1.0-py3-none-any.whl.
File metadata
- Download URL: cogprofile-0.1.0-py3-none-any.whl
- Upload date:
- Size: 25.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a80088eb4bac7be9b0df1d9aa865cf220f01f75ef010e3672b94e9f6583add8c
|
|
| MD5 |
6034ccd4ff943298e01bedbbfb48eb80
|
|
| BLAKE2b-256 |
42c7613c6b9093442287c7d73b7ac77d99c4229cbf8a90d17bd54c036e0899d9
|
Provenance
The following attestation bundles were made for cogprofile-0.1.0-py3-none-any.whl:
Publisher:
publish.yml on cogprofile/cogprofile-python
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
cogprofile-0.1.0-py3-none-any.whl -
Subject digest:
a80088eb4bac7be9b0df1d9aa865cf220f01f75ef010e3672b94e9f6583add8c - Sigstore transparency entry: 1107630467
- Sigstore integration time:
-
Permalink:
cogprofile/cogprofile-python@c89d2a0022929e21a6e36096ce7098211a7d8db6 -
Branch / Tag:
refs/tags/v0.1.0 - Owner: https://github.com/cogprofile
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@c89d2a0022929e21a6e36096ce7098211a7d8db6 -
Trigger Event:
push
-
Statement type: