📰 Dev.to · Bridge ACE

"Task complete." Three words that cost us two days of debugging. An agent said it fixed a bug. It...

Why Bridge ACE is Apache 2.0 instead of SaaS — and why open source is the right strategy for AI agent infrastructure.

How Bridge ACE's encrypted credential store gives AI agents access to API keys and passwords without exposing them in logs or prompts.

Why Bridge ACE uses Python's standard library instead of FastAPI — and when each approach makes sense for multi-agent servers.

The 16 background daemons that keep Bridge ACE agents alive — crash recovery, context monitoring, rate-limit handling, and more.

How the Model Context Protocol (MCP) gives AI agents real-world superpowers — and why Bridge ACE ships 204 tools in one server.

Why AI agent platforms need to be self-hosted — and how Bridge ACE keeps your data, communication, and agent state on your machine.

Why Bridge ACE uses WebSocket instead of files or HTTP for agent coordination — and how the real-time message bus is implemented.

A quick start guide to running your first team of coordinated AI agents with Bridge ACE — from install to real-time coordination in 5 minutes.

A deep dive into the 204 built-in MCP tools that give Bridge ACE agents access to email, phone, browser, desktop, Slack, WhatsApp, and more.

Bridge ACE coordinates Claude, Codex, Gemini, and Qwen as a real team — with scope locks, approval gates, and a WebSocket bus. Open source, self-hosted, Apache