markmhendrickson/neotoma
by Various
Your agents forget. Neotoma makes them remember.
MCP
markmhendrickson/neotoma
Added 1 June 2026
Overview
Neotoma provides memory for AI agents, preventing them from forgetting between interactions. The repository is written in HTML, indicating a simple implementation or demonstration. It solves the problem of context loss in agent workflows.
Best for
Best for
Developers building experimental agents that need basic memory
Use cases
- Adding persistent memory to AI agents
- Preventing agent context loss across conversations
- Storing and recalling agent experiences
Notes
Neotoma provides memory for AI agents, preventing them from forgetting between interactions. The repository is written in HTML, indicating a simple implementation or demonstration. It solves the problem of context loss in agent workflows.
24 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Use cases
- Adding persistent memory to AI agents
- Preventing agent context loss across conversations
- Storing and recalling agent experiences
Pros
- Focused on a single clear problem: agent memory
- Simple codebase easy to understand and modify
- Low overhead, suitable for experimentation
Cons
- Very small community with only 24 stars
- Limited documentation and features
- May not be production-ready or actively maintained
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Focused on a single clear problem: agent memory
- Simple codebase easy to understand and modify
- Low overhead, suitable for experimentation
Cons
- Very small community with only 24 stars
- Limited documentation and features
- May not be production-ready or actively maintained
Pairs with
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