cheanus/SRSA
The Spaced Repetition Systems for Agents
This helps your AI agents remember information more reliably over time, preventing them from forgetting or mixing up details. It takes your agent's existing memories and turns them into reviewable 'cards.' The output is an AI agent with improved recall, able to provide more accurate and up-to-date information. This is for anyone who deploys or manages AI agents and needs them to maintain consistent, accurate knowledge.
Use this if your AI agents suffer from 'memory drift,' where their recall becomes less accurate or complete over time, and you need a system to continuously reinforce and correct their stored knowledge.
Not ideal if you are looking for a new foundational memory architecture from scratch, rather than an enhancement layer for an existing agent's memory.
Stars
21
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 24, 2026
Commits (30d)
0
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