Harbor Agent Context Protocol

Example Use Cases

• 1

  Shared, persistent memory across different AI models and sessions.

• 2

  Normalized and curated API responses to improve reasoning and reduce noise.

• 3

  Secure credential management and context-level access control.

Description

Harbor enables multiple AI agents to share memory and context seamlessly across sessions, models, and tools by normalizing API responses, curating relevant data, and governing context-level access. It supports schema learning, cross-agent memory recall, and encrypted credential management, enhancing agent collaboration and reducing redundant re-prompting. Harbor integrates with various agents and MCP clients, offers a cloud sync option with a free tier, and includes plugins such as for OpenClaw to improve memory systems.