Acontext

🥇Gold

Acontext is a context data platform for building cloud-native AI agents. It enables developers to create, manage, and observe AI agents with enhanced context awareness. The platform supports agent development, observability, and memory capabilities, integrating with OpenAI and Claude agents.

2,8812530Updated 1w ago

Intermediate30min to implementautomation

Saves ~360 min per use

Quick InstallView Source

git clone https://github.com/memodb-io/Acontext.git

Works with:

Claude

Overview

About This Skill

https://docs.acontext.io

Use Cases

Automate context storage and retrieval for AI agents handling large user interactions.

Track and summarize agent progress and user feedback in real-time.

Manage context windows effectively to optimize agent performance.

Run code and analyze data within a sandbox environment for rapid prototyping.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/memodb-io/Acontext

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Using Acontext, how can [COMPANY] optimize its cloud-native AI agents for the [INDUSTRY] sector by leveraging [DATA]? Provide a strategic overview.

Example Output

### Optimizing Cloud-Native AI Agents for XYZ Corp

To enhance the capabilities of XYZ Corp's cloud-native AI agents in the healthcare industry, we can leverage patient data effectively. By utilizing Acontext, we can:

- **Store Contextual Patient Histories**: Maintain comprehensive records of patient interactions and treatment histories.
- **Real-Time Data Retrieval**: Access real-time data to provide personalized recommendations during patient consultations.
- **Integrate with Existing Systems**: Seamlessly connect with electronic health record systems to enrich AI decision-making processes.

By implementing these strategies, XYZ Corp can improve patient outcomes and streamline operations, leading to a more efficient healthcare service.