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Agent-Bridge

Agent-Bridge
Launch Date: March 26, 2026
Pricing: No Info
AI, coding agents, platform, workspace, workflow

Agent-Bridge, also known as AB, is a platform that provides a persistent workspace for AI coding agents. It helps manage and coordinate these agents, making it easier to work with them on complex tasks. The system includes several parts that work together: a PTY daemon for terminal sessions, a backend API for managing agents and data, a visual frontend for interaction, and a system for deploying and organizing everything.

Benefits

Agent-Bridge offers several advantages. It provides persistent agent workspaces, meaning your work and settings are saved. It also manages terminal sessions, allowing for continuous work. The platform includes canvas boards for visual coordination of agent tasks and helps orchestrate deployments. This means you can set up and manage your AI coding agents more effectively and keep your work organized.

Use Cases

Agent-Bridge is designed for anyone working with AI coding agents. It can be used to set up and manage individual agent workspaces, each with its own terminal, files, and notes. The visual canvas allows users to arrange and manage components, track agent progress, and organize tasks. It's useful for development teams looking to streamline their AI agent workflows, providing a central place to coordinate agent activities and deployments. The platform can be accessed through a web interface, making it easy to interact with your agents.

Pricing

Pricing details for Agent-Bridge are not available in the provided information.

Vibes

Information about public reception, reviews, or testimonials for Agent-Bridge is not available in the provided article.

Additional Information

Agent-Bridge can be quickly set up for a local demo using Docker Compose or a simple curl command installer. For development, the system can be set up by cloning child repositories. The platform requires tools like Docker, Bash, Curl, Python3, Realpath, and OpenSSL. The root repository manages the backend, frontend, and PTY daemon components. Default services run on specific ports, with the frontend accessible at http://127.0.0.1:5281. The system also includes scripts for checking container status, backend health, viewing logs, and shutting down services. A separate test environment is available for testing purposes, which includes a test database and remote agents.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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