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maasv Memory

Provides structured long-term memory with semantic, keyword, and knowledge graph retrieval, entity extraction, temporal versioning, and experiential learning.

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High Signal

Provides structured long-term memory with semantic, keyword, and knowledge graph retrieval, entity extraction, temporal versioning, and experiential learning.

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.3

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

maasv Memory

Structured long-term memory for OpenClaw agents, powered by 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

pip install "maasv[server,anthropic,voyage]" cp server.env.example .env # fill in API keys (see below) maasv-server

2. Install the plugin

openclaw plugins install @maasv/openclaw-memory

3. Activate

// ~/.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: VariableRequiredPurposeMAASV_LLM_PROVIDERYesanthropic or openaiMAASV_ANTHROPIC_API_KEYIf using AnthropicLLM calls for entity extractionMAASV_OPENAI_API_KEYIf using OpenAILLM calls for entity extractionMAASV_EMBED_PROVIDERYesvoyage, openai, or ollamaMAASV_VOYAGE_API_KEYIf using VoyageEmbedding generationMAASV_API_KEYOptionalProtects 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 via Ollama, with built-in Matryoshka dimension truncation. See the maasv README 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) β€” 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 β€” 3-signal retrieval across your memory store memory_store β€” Dedup-aware memory storage memory_forget β€” Permanent deletion memory_graph β€” Knowledge graph: entity search, profiles, relationships memory_wisdom β€” Log reasoning, record outcomes, search past decisions

Links

Plugin (npm): @maasv/openclaw-memory Server + core (PyPI): maasv Source: github.com/ascottbell/maasv

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc