kael-bit/engram-rs

Memory engine for AI agents — time axis (3-layer decay/promotion) + space axis (self-organizing topic tree). Hybrid search, LLM consolidation. Single Rust binary.

35
/ 100
Emerging

This project helps AI agents manage and organize their knowledge, much like a human brain. It takes in raw information like notes, observations, or instructions, and automatically prioritizes what's important, forgets what's not, and groups related ideas. The output is a highly organized, easily searchable memory that an AI agent can use to make better decisions and perform tasks more effectively.

Use this if you are building an AI agent that needs to intelligently manage a growing base of knowledge, learn from experience, and recall relevant information efficiently without being overwhelmed by irrelevant details.

Not ideal if you need a simple, flat storage for all data without any sophisticated organization, forgetting, or learning mechanisms.

AI-agent-memory knowledge-management AI-learning intelligent-recall autonomous-agents
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 11 / 25
Community 8 / 25

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Stars

20

Forks

2

Language

Rust

License

MIT

Last pushed

Mar 03, 2026

Commits (30d)

0

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