mnlt/wellread
by Various
Collective research memory for AI agents
MCP
mnlt/wellread
Added 1 June 2026
Overview
Wellread is a TypeScript library that gives AI agents a shared, persistent memory for research context. It stores and retrieves structured knowledge across sessions, enabling agents to build on past findings without repeating work.
Best for
Best for
Developers building multi-agent systems that need persistent research memory
Use cases
- Persisting research context across multiple agent conversations
- Building a shared knowledge base for collaborative AI agents
- Reducing redundant queries by caching prior research results
Notes
Wellread is a TypeScript library that gives AI agents a shared, persistent memory for research context. It stores and retrieves structured knowledge across sessions, enabling agents to build on past findings without repeating work.
8 stars on GitHub. Last updated 2026-04-19. Licensed AGPL-3.0.
Use cases
- Persisting research context across multiple agent conversations
- Building a shared knowledge base for collaborative AI agents
- Reducing redundant queries by caching prior research results
Pros
- Lightweight TypeScript library with minimal dependencies
- Designed specifically for agent-to-agent memory sharing
- Open source with a permissive license
Cons
- Limited community adoption with only 8 GitHub stars
- No documented support for non-TypeScript environments
- Unclear integration complexity with existing agent frameworks
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Lightweight TypeScript library with minimal dependencies
- Designed specifically for agent-to-agent memory sharing
- Open source with a permissive license
Cons
- Limited community adoption with only 8 GitHub stars
- No documented support for non-TypeScript environments
- Unclear integration complexity with existing agent frameworks
Pairs with
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