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wnbhr/being

by Various

Personality Runtime — persistent memory, identity, and relationships for AI agents that work across multiple LLM platforms via MCP

MCP

wnbhr/being

Added 7 June 2026

#ai-agent#mcp#mcp-server#memory#personality#soul#typescript
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

A runtime for AI agents that maintains persistent memory, identity, and relationship data across different LLM platforms. It uses the Model Context Protocol (MCP) to enable cross-platform agent continuity.

Best for

Best for
Developers building cross-platform AI agents that need consistent personality and memory

Use cases

  • Building agents with long-term memory across sessions
  • Creating agents that maintain consistent identity across multiple LLM providers
  • Developing multi-platform agent systems with shared relationship data

How to use

Install

npm start

Tools exposed

  • SUPABASE_URL
  • SUPABASE_SERVICE_ROLE_KEY
  • ENCRYPTION_KEY
  • WORKER_SECRET
  • VAPID_PUBLIC_KEY
  • VAPID_PRIVATE_KEY

Clients listed in this record (not verified here)

ChatGPT

Example client config

{
  "mcpServers": {
    "my-being": {
      "url": "https://being.ruddia.com/mcp/<being_id>",
      "headers": {
        "Authorization": "Bearer brt_your_token_here"
      }
    }
  }
}

Notes

0 stars on GitHub. Last updated 2026-05-28.

Pros

  • Persistent memory and identity across LLM providers via MCP
  • Standardized integration through the Model Context Protocol
  • Written in TypeScript for broad compatibility with JavaScript/TypeScript stacks

Cons

  • Very early stage with zero GitHub stars, indicating minimal adoption or testing
  • Requires MCP-compatible LLM platforms, which may limit usability
  • Likely limited documentation and community support due to low popularity

Pairs with

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