maasv Memory
Structured long-term memory for OpenClaw agents, powered by [maasv](https://github.com/ascottbell/maasv).
Best use case
maasv Memory is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structured long-term memory for OpenClaw agents, powered by [maasv](https://github.com/ascottbell/maasv).
Teams using maasv Memory should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/maasv-memory/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How maasv Memory Compares
| Feature / Agent | maasv Memory | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Structured long-term memory for OpenClaw agents, powered by [maasv](https://github.com/ascottbell/maasv).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# maasv Memory
Structured long-term memory for OpenClaw agents, powered by [maasv](https://github.com/ascottbell/maasv).
Replaces the default memory backend with a cognition layer that includes 3-signal retrieval (semantic + keyword + knowledge graph), entity extraction, temporal versioning, and experiential learning.
**maasv is entirely self-hosted.** There is no maasv cloud service. You run the server on your own machine, and all data is stored in a SQLite file on your local disk that you own and control. Nothing is sent to maasv.
## Install
This skill requires the `@maasv/openclaw-memory` plugin and a running maasv server.
### 1. Start the server
```bash
pip install "maasv[server,anthropic,voyage]"
cp server.env.example .env # fill in API keys (see below)
maasv-server
```
### 2. Install the plugin
```bash
openclaw plugins install @maasv/openclaw-memory
```
### 3. Activate
```json5
// ~/.openclaw/openclaw.json
{
plugins: {
slots: { memory: "memory-maasv" },
entries: {
"memory-maasv": {
enabled: true,
config: {
serverUrl: "http://127.0.0.1:18790",
autoRecall: true,
autoCapture: true,
enableGraph: true
}
}
}
}
}
```
## Required Credentials
The maasv server needs an LLM provider (for entity extraction) and an embedding provider (for semantic search). Configure these in your `.env` file:
| Variable | Required | Purpose |
|----------|----------|---------|
| `MAASV_LLM_PROVIDER` | Yes | `anthropic` or `openai` |
| `MAASV_ANTHROPIC_API_KEY` | If using Anthropic | LLM calls for entity extraction |
| `MAASV_OPENAI_API_KEY` | If using OpenAI | LLM calls for entity extraction |
| `MAASV_EMBED_PROVIDER` | Yes | `voyage`, `openai`, or `ollama` |
| `MAASV_VOYAGE_API_KEY` | If using Voyage | Embedding generation |
| `MAASV_API_KEY` | Optional | Protects maasv server endpoints with auth |
**For fully local operation** (no cloud calls), use `ollama` as your embed provider and a local LLM. maasv is optimized for [Qwen3-Embedding-8B](https://ollama.com/library/qwen3-embedding) via Ollama, with built-in Matryoshka dimension truncation. See the [maasv README](https://github.com/ascottbell/maasv) for local setup.
## Data & Network Behavior
- **maasv has no cloud service.** The server runs on your machine, the database is a SQLite file on your disk. You own all of it.
- **The only external calls are to your own LLM/embedding provider** (Anthropic, OpenAI, Voyage) — using your own API keys, from your own machine. If you use `ollama`, zero data leaves your machine.
- **The plugin talks only to localhost** (`127.0.0.1:18790`). It makes no external network calls.
- **autoCapture** sends conversation summaries to your local maasv server for entity extraction. Extracted entities are stored in your local SQLite database.
- **autoRecall** reads from your local SQLite database and injects relevant memories into the agent's context.
- **No telemetry, no analytics, no phone-home.** maasv does not collect or transmit any data.
## What You Get
- **`memory_search`** — 3-signal retrieval across your memory store
- **`memory_store`** — Dedup-aware memory storage
- **`memory_forget`** — Permanent deletion
- **`memory_graph`** — Knowledge graph: entity search, profiles, relationships
- **`memory_wisdom`** — Log reasoning, record outcomes, search past decisions
## Links
- **Plugin (npm):** [@maasv/openclaw-memory](https://www.npmjs.com/package/@maasv/openclaw-memory)
- **Server + core (PyPI):** [maasv](https://pypi.org/project/maasv/)
- **Source:** [github.com/ascottbell/maasv](https://github.com/ascottbell/maasv)Related Skills
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