AIAnytime/Agent-Memory-Playground
Agent Memory Playground: AI Agent Memory Design & Optimization Techniques
It implements nine distinct memory optimization strategies, ranging from Sliding Window to Graph Memory, each designed as a modular class following the strategy pattern. The project provides an interactive Streamlit playground for testing and comparing these strategies with real-time performance analytics, alongside FastAPI endpoints for seamless integration into production AI systems. It requires an OpenAI API key for LLM integration.
No commits in the last 6 months.
Stars
32
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/AIAnytime/Agent-Memory-Playground"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Featured in
Higher-rated alternatives
kayba-ai/agentic-context-engine
🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
MemMachine/MemMachine
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory...
knowns-dev/knowns
The memory layer for AI-native development — giving AI persistent understanding of your software...
Dicklesworthstone/cass_memory_system
Procedural memory for AI coding agents: transforms scattered session history into persistent,...
rexdivakar/HippocampAI
HippocampAI — Autonomous Memory Engine for LLM Agents