如何稳定使用OpenClaw记忆插件Mem0 OpenSource模式

OpenClaw/ Plugin/ Memory/ AI 2026-04-20
如何稳定使用Mem0 OpenSource模式

在~/.openclaw/.env中写入以下环境变量

1
2
3
4
5
6
#以下三项随便填写,只用于激活Mem0的Skill
MEM0_API_KEY=123456
OPENAI_API_KEY=123456
ANTHROPIC_API_KEY=123456
#关闭Mem0的远程遥测,不关闭的话很烦
MEM0_TELEMETRY=false

按照以下配置:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
"openclaw-mem0": {
"enabled": true,
"config": {
"mode": "open-source",
"userId": "node",
"autoRecall": true,
"autoCapture": true,
"topK": 5,
"searchThreshold": 0.3,
"skills": {
"triage": {
"enabled": true
},
"recall": {
"enabled": true,
"tokenBudget": 1500,
"rerank": true,
"keywordSearch": true,
"identityAlwaysInclude": true
},
"dream": {
"enabled": true
}
},
"oss": {
"embedder": {
"provider": "openai",
"config": {
"baseURL": "https://api.siliconflow.cn/v1",
"url": "https://api.siliconflow.cn/v1",
"model": "Qwen/Qwen3-VL-Embedding-8B",
"apiKey": "sk-xxxx",
"embeddingDims": 4096
}
},
"llm": {
"provider": "openai",
"config": {
"baseURL": "https://api.siliconflow.cn/v1",
"url": "https://api.siliconflow.cn/v1",
"model": "deepseek-ai/DeepSeek-V4-Flash",
"apiKey": "sk-xxx"
}
},
"vectorStore": {
"provider": "qdrant",
"config": {
"url": "http://qdrant:6333",
"onDisk": true,
"dimension": 4096,
"embeddingModelDims": 4096,
"collectionName": "openclaw_mem0_collection"
}
}
}
}
}

qdrant向量数据库自托管

ps: openclaw gateway如果是docker部署,记得连接vc-db-net

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
services:
qdrant:
image: qdrant/qdrant:v1.13.0
container_name: qdrant
restart: unless-stopped
expose:
- 6333 # http端口
- 6334 # grpc端口
volumes:
- ./data:/qdrant/storage
networks:
- vc-db-net
caddy:
image: caddy:latest
container_name: caddy
restart: unless-stopped
ports:
- "16333:6333"
expose:
- 6333
volumes:
- ./Caddyfile:/etc/caddy/Caddyfile
- caddy_data:/data
- caddy_config:/config
networks:
- vc-db-net

networks:
vc-db-net:
name: vc-db-net
driver: bridge

volumes:
caddy_data:
caddy_config: