I Built an API That Gives AI Agents Persistent Memory - Here's How

SnapState is a platform designed to help manage persistent workflow state in AI and machine learning projects, particularly those involving large language models (LLMs) or other types of agents that need to maintain state across sessions. Here’s an overview based on the provided details:

Key Features

1. REST API: Provides endpoints for saving checkpoints, resuming workflows, and replaying them with diff tracking.
2. JavaScript SDK & Python SDK: Simplifies integration by providing easy-to-use libraries (npm install snapstate-sdk or pip install snapstate-sdk).
3. MCP Server: Integrates seamlessly with tools like Claude Desktop and Cline for managing multi-agent workflows.
4. Agent Identity Management: Allows tagging checkpoints with unique agent IDs to track progress in complex, multi-step processes.
5. Analytics: Offers detailed metrics on workflow performance, failure patterns, and per-agent activity.
6. Self-Service Authentication: Includes user signup, email verification, and API key management.

Quick Start

To get started quickly, you can use the provided SDKs:

JavaScript Example

javascript
 
1import { SnapStateClient } from 'snapstate-sdk';
2
3const client = new SnapStateClient({
4  apiKey
5
6[Read the full article at DEV Community](https://dev.to/timbassler/i-built-an-api-that-gives-ai-agents-persistent-memory-heres-how-1jjb)
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