📦 AVM Memory — 共享语义记忆

v1.1.0

AI Virtual Memory 为多个智能体提供共享语义记忆池,支持 token 感知召回、主题索引、生命周期管理及去中心化发现,让协作更连贯。

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bkmashiro 头像by @bkmashiro (Yuzhe Shi)
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最后更新
2026/3/23
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OpenClaw
安全
medium confidence
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评估建议
This skill is a documentation-only description of a multi-agent local memory system and appears coherent with its stated purpose. Before installing or running anything: 1) clone the project and inspect the code and setup files (there's no install spec in the registry — 'pip install -e .' in the README runs local code you should trust), 2) be aware the system implements gossip and inter-agent sharing — do not put secrets or sensitive data into shared namespaces, and review access-control enforcem...
详细分析 ▾
用途与能力
Name and description (AI Virtual Memory, multi-agent shared semantic memory) match the SKILL.md content: CLI/Python API, FUSE mount, gossip discovery, librarian, TopicIndex, consolidation, etc. The features and examples align with the stated purpose — nothing requested (env vars, credentials, config paths) appears unrelated to the described functionality.
指令范围
The SKILL.md is a usage/operation manual that instructs running local binaries (avm, avm-mount, avm-mcp) and starting background processes (gossip protocol, consolidation cron jobs). It does not instruct reading unrelated system files or exfiltrating secrets, but it does describe networked discovery (gossip publish/refresh) and cross-agent sharing. Because no code is included, the actual network endpoints, transport, and degree of data sharing cannot be audited from the docs alone — this is expected for an instruction-only skill but worth noting.
安装机制
There is no install spec in the registry entry (the skill is instruction-only). The README suggests running 'pip install -e .' and installing fusepy/macfuse/fuse3 locally — that implies executing project code from a source tree (arbitrary code execution) if you follow the instructions. The absence of a registered install spec reduces platform-side risk, but if you install locally you should inspect the repository before running pip install or executing binaries.
凭证需求
The skill declares no required environment variables, credentials, or config paths. That is proportional to the documented local, zero-API-key design (it claims local sentence-transformers embeddings). The main privacy concern is semantic: the gossip/librarian features purposefully share topic-existence or content across agents and shared namespaces — avoid storing secrets in shared memory and validate access controls described in the doc.
持久化与权限
always:false (normal). The instructions recommend starting persistent components (gossip background thread, MCP server, and scheduled consolidation jobs). Those introduce persistent network/listener behavior at the host level when you run the software, but this is a property of the software as documented rather than a registry-level privilege. If you run it, expect long-running processes and possible network traffic for agent discovery.
安全有层次,运行前请审查代码。

运行时依赖

无特殊依赖

版本

latestv1.1.02026/3/23

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安装命令

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官方npx clawhub@latest install avm
镜像加速npx clawhub@latest install avm --registry https://cn.longxiaskill.com
数据来源ClawHub ↗ · 中文优化:龙虾技能库