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Add plugin.yaml for agent discovery & registry#1102

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chorghemaruti64-creator wants to merge 2 commits intoMemTensor:mainfrom
chorghemaruti64-creator:add-plugin-yaml
Open

Add plugin.yaml for agent discovery & registry#1102
chorghemaruti64-creator wants to merge 2 commits intoMemTensor:mainfrom
chorghemaruti64-creator:add-plugin-yaml

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@chorghemaruti64-creator

What

Adds a plugin.yaml manifest file that describes MemOS as a discoverable agent plugin.

Why

The AI agent ecosystem needs a standard way for infrastructure tools to declare their capabilities in a machine-readable format. A plugin.yaml at the repo root lets registries and other agents automatically discover and understand what MemOS offers.

What it includes

  • Metadata: name, description, author, license
  • Capabilities: persistent memory, skill memory, cross-task reuse, memory evolution
  • Install info: pip install memos-ai
  • Discovery: protocol and transport info
  • Categories & tags: for search and filtering

Impact

  • Zero code changes — metadata file only
  • No dependencies added
  • Makes MemOS discoverable by agent orchestration tools
  • Standard format other agent infrastructure projects are also adopting

Part of an effort to standardize agent plugin discovery. Learn more

@chorghemaruti64-creator
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Hey MemOS team 👋 — following up here. This plugin.yaml enables auto-discovery of MemOS as an MCP-compatible memory layer. No code changes — just metadata.

Memory systems are becoming a critical building block for AI agents, and discoverability is a real gap right now. A developer building an agent that needs persistent memory should be able to find MemOS automatically.

We shipped a Plugin Registry at list.agenium.net/plugins — repos with plugin.yaml get indexed. Would love your thoughts on whether this format captures MemOS's capabilities well.

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