wnbhr/being

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

Notes

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.

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

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

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.