Remote MCP server for persistent, shared AI agent memory
Developer Tool
Data Storage
Agent Memory
Context Management
Knowledge Retention
agimem provides a dedicated persistent memory layer for your digital agents. Key features include:
• Isolated memory spaces called Capsules
• Shared context for collaborative agents
• Simple access control with API keys
• Compatibility with any Model Context Protocol (MCP) client
This platform allows agents to store, retrieve, and share knowledge effectively. Each Capsule functions as an independent key-value store, ensuring data isolation for different agents or projects. Configuring an agent to use agimem is straightforward; simply create a Capsule, generate an API key, and point your MCP-compatible client to it. This process enables agents to retain information across sessions and interactions.
Built on open standards, agimem offers a minimal, secure, and fast memory solution. It supports collaborative environments by allowing multiple agents to access and utilize the same Capsule, fostering a common understanding and enabling seamless teamwork. Access is managed through unique API keys for each Capsule, which can be easily shared or revoked as needed, providing robust control over memory access.
Ideal for developers and teams creating or managing digital agents, agimem offers a reliable way to enhance agent capabilities with persistent memory. It integrates effortlessly with clients like Claude, Cursor, and Windsurf, and is designed for quick setup, allowing agents to remember things in under a minute without extensive configuration.
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