According to AlphaMoat, as of 2026-09, Openclaw Mem0 has 3,203 downloads and 4 stars — ranked #3,553 of 5,078 AI skills overall, and #725 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 106 | 3.2K | 4 | 2 |
Platforms count differently and update at different times.
The primary describes automatic recall before each turn and capture afterward, plus manual tools to store, search, retrieve, list, and delete memories. Automatic capture may store sensitive chat content; misconfigured cloud or cross-user memory access may expose it. Define clear capture rules, disable auto-capture by default for sensitive conversations, and scope credentials and memory per user or tenant. Confirm deletion targets and review recalled memories regularly.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.2K | — | 4 |
| 2026-08 | 3.1K | +3.5% | 4 |
| 2026-07 | 3.0K | +8.9% | 4 |
| 2026-06 | 2.8K | +6.3% | 4 |
| 2026-05 | 2.6K | — | 4 |
| 2026-03 | 1.7K | — | 4 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
# OpenClaw Mem0 Plugin Mem0 integration for OpenClaw. Adds intelligent long-term memory to your agents, allowing them to remember user preferences, facts, and past conversations automatically. ## When to use - You want your agent to remember user details (name, job, preferences) across sessions - You need "infinite context" by retrieving relevant past interactions - You want to build a personalized assistant that learns over time - You need both cloud (managed) and self-hosted (local) memory options
## Setup
### Platform Mode (Recommended)
1. Get a free API key at [mem0.ai](https://mem0.ai)
2. Add to your OpenClaw config:
```json
{
"plugins": {
"entries": {
"openclaw-mem0": {
"enabled": true,
"config": {
"mode": "platform",
"apiKey": "your-mem0-api-key",
"userId": "default-user"
}
}
}
}
}
```
### Open-Source Mode (Self-Hosted)
Connect to your own Mem0 instance (requires `mem0ai` package installed):
```json
{
"plugins": {
"entries": {
"openclaw-mem0": {
"enabled": true,
"config": {
"mode": "open-source",
"oss": {
"vectorStore": {
"provider": "chroma",
"config": {
"collectionName": "memories",
"path": "./chroma_db"
}
}
}
}
}
}
}
}
```
## Usage
This plugin works automatically (Zero-Shot) but also provides manual tools.
### Automatic Features
- **Auto-Recall**: Before every agent turn, it searches memory for relevant context and injects it into the system prompt.
- **Auto-Capture**: After every agent turn, it analyzes the conversation and stores key facts into memory.
### Manual Tools
The agent can proactively call these tools:
| Tool | Description | Parameters |
|------|-------------|------------|
| `memory_store` | Explicitly save a fact | `text` (string), `longTerm` (bool) |
| `memory_search` | Search memories | `query` (string), `scope` ("session"\|"long-term") |
| `memory_get` | Get memory by ID | `memoryId` (string) |
| `memory_list` | List all memories | `userId` (string) |
| `memory_forget` | Delete a memory | `memoryId` (string) or `query` (string) |
### Example
**User**: "I'm moving to Tokyo next month."
*Agent automatically captures this fact.*
**(Two weeks later)**
**User**: "What's a good restaurant for my farewell dinner?"
*Agent automatically recalls "User is moving to Tokyo" and suggests a restaurant in their current city.*
## Plugin structure
```
openclaw-mem0/
package.json # NPM package config (@xray2016/openclaw-mem0)
index.ts # Plugin implementation & tools
lib/ # Internal Mem0 client implementation
SKILL.md # This file
README.md # Detailed documentation
```
## Author
Maintained by @xRay2016. Modified from the original Mem0 OpenClaw integration.
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
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A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.