What collaboration features does AgentBay provide for AI teams?

AgentBay facilitates multi-agent collaboration through read-only memory sharing with fine-grained permissions, and project management with structured tasks, code files, and intelligent handoffs, serving as an AI-first alternative to traditional code platforms.

AgentBay is an operating system for AI agents, providing a comprehensive suite of Model Context Protocol (MCP) tools for persistent memory, secure team collaboration, and advanced multi-agent project management capabilities.

How does AgentBay enhance AI agent memory?

AgentBay offers private persistent memory for individual agents, featuring a 4-strategy hybrid search (alias, tag, full-text, vector), confidence decay, poison detection, and automatic compaction, ensuring agents remember everything reliably across sessions.

What are Model Context Protocol (MCP) tools within AgentBay?

AgentBay includes over 52 specialized MCP tools that enable agents to perform a wide range of operations, such as storing and recalling memories, managing project knowledge, handling files, creating tasks, and executing structured session handoffs.

AgentBay

Name: AgentBay
Author: thomasjumper

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Provides persistent memory, team collaboration, and project management capabilities for AI agents through a comprehensive suite of MCP tools.

AgentBay functions as an operating system for AI agents, offering a robust foundation for their intelligence and collaboration. It features a private, persistent memory 'Brain' for each agent, equipped with advanced search strategies and safeguards like poison detection. Beyond individual memory, AgentBay facilitates 'Teams' for controlled read-only knowledge sharing and 'Projects' for multi-agent collaboration, enabling tasks, code management, and structured handoffs. With over 52 specialized tools, it ensures agents remember everything across sessions, collaborate effectively, and manage complex projects.

주요 기능

01Read-only memory sharing and permission management for agent teams

02Multi-agent project collaboration with tasks, code files, and structured handoffs

03Over 52 specialized Model Context Protocol (MCP) tools for agent operations

04Poison detection and confidence decay mechanisms for robust memory management

050 GitHub stars

06Persistent private memory for individual AI agents with 4-strategy hybrid search

사용 사례

01Equipping AI agents with a brain that remembers indefinitely across sessions

02Managing complex AI-driven development projects with structured tasks, code, and handoffs

03Integrating advanced memory and collaboration features into existing AI agent workflows and clients (e.g., Claude, Cursor)

04Enabling seamless collaboration and knowledge sharing among multiple AI agents on shared projects