Playground

Playground is an AI agent memory tool that stores facts and retrieves them by meaning across sessions.

MemorySync is a memory infrastructure tool for AI agents and copilots. It allows users to store facts that persist on servers even after browser reloads, surviving the boundary most agent memory fails to cross. The system extracts lasting facts instead of keeping raw chat history and searches them by meaning so agents can recall information in different words. It is built for developers and teams creating AI systems that need persistent memory and adaptive retrieval. The platform provides production endpoints, an API key system, and code examples in cURL, Python, and Node.js.

Playground at a glance

Best for: Software engineer
Runs on: Web, API
Pricing: Free plan includes 10,000 add requests and 1,000 retrieval requests per month; Starter; Pro; Scale; Enterprise
Released: October 2026
Category: AI agent tool
Website: memorysync.io

Key features

Store facts for AI agents
Search memories by meaning
Extract lasting facts automatically
View API calls in cURL, Python, and Node.js
Manage keys instantly without signup
Access memory explorer and request logs

Use it for

Storing persistent facts for AI agents across sessions
Retrieving stored facts using natural language queries
Integrating production memory APIs via cURL, Python, or Node.js

Alternatives to Playground

Tigerless Agent Memory — Maintains agent history in portable, greppable Markdown files without API keys.
MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
EverOS — It enables agents to learn from experience and improves over time without manual coding.
Maximem — It delivers fast retrieval and structured memory across frameworks.
AgentMemory — It runs locally with zero external databases and achieves high retrieval recall.
past.dev — Provides agents with accurate, timestamped context instead of static retrieval.
Cognee — Persistent memory for AI agents using graph, vector, and relational retrieval.
ReMe — It enables local-first, file-native long-term memory sharing across multiple AI agents.
Mem0 — It provides drop-in persistent memory for AI agents without changing pipelines.

All Playground alternatives