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SwiftGate

One OS for AI agents with shared brain, skills and logs

SwiftGate functions as a centralized operating environment for various digital agents. Key features include: • Shared knowledge graphs and memory for all connected agents • Peer-to-peer communication capabilities • Scheduled activation and task execution • Integration with Message Control Protocol (MCP) systems • Comprehensive action logging and traceability This platform allows users to connect a variety of agents, including external coding assistants like OpenCode and Claude Code, alongside SwiftGate's native agent harness. By channeling all agent traffic through SwiftGate, the system ensures that every action is fully traceable and auditable. Agents can leverage a shared knowledge base, preventing information silos and enhancing collaborative capabilities. This unified environment allows agents to read, write, and link knowledge, making outputs from one agent immediately useful for others. SwiftGate focuses on the systemic elements surrounding agents: shared knowledge, persistent memory, unified permissions, integrated tools, and coordinated communication. It bridges local machines via a command-line interface (CLI), enabling local agents to seamlessly join and operate within the SwiftGate team. Users can manage their agent teams from multiple interfaces, including desktop applications, mobile devices, Apple Messages, and Telegram, providing flexible access and control. Ideal for engineering teams, developers, and project managers who utilize multiple digital assistants for coding, data processing, and operational tasks. SwiftGate streamlines collaborative workflows, enhances visibility, and ensures consistent performance across diverse agent deployments.
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