tstockham96/engram
by Various
Universal memory layer for AI agents. Remember, recall, consolidate.
MCP
tstockham96/engram
Added 1 June 2026
Overview
Engram is a TypeScript library that provides a universal memory layer for AI agents. It enables agents to store, retrieve, and consolidate information across sessions.
Best for
Best for
TypeScript developers building lightweight memory systems for AI agents
Use cases
- Adding persistent memory to conversational AI agents
- Enabling context recall across multi-turn interactions
- Consolidating agent knowledge from multiple inputs
Notes
Engram is a TypeScript library that provides a universal memory layer for AI agents. It enables agents to store, retrieve, and consolidate information across sessions.
39 stars on GitHub. Last updated 2026-05-04. Licensed MIT.
Use cases
- Adding persistent memory to conversational AI agents
- Enabling context recall across multi-turn interactions
- Consolidating agent knowledge from multiple inputs
Pros
- Dedicated memory layer simplifies agent state management
- TypeScript provides type safety for integrations
- Open source with a permissive license
Cons
- Small community (39 stars) indicates early maturity
- No documented storage backends or persistence guarantees
- Limited documentation and examples available
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Dedicated memory layer simplifies agent state management
- TypeScript provides type safety for integrations
- Open source with a permissive license
Cons
- Small community (39 stars) indicates early maturity
- No documented storage backends or persistence guarantees
- Limited documentation and examples available
Pairs with
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