ACP Bridge lets teams share coding agents running on a development machine or self-hosted server through one HTTP API. It connects tools such as Claude Code, Codex, Kiro, Qwen and OpenCode using the Agent Client Protocol (ACP), so teammates and bots can call them without installing each agent locally. The project is open source under Apache 2.0 and supports Docker deployment.
Its main distinction is coordination across agents. Workflows can pass a task through agents in sequence, run them in parallel, race their responses or let them exchange messages in a conversation. Pipelines can share a workspace and pause for human input. Jev, from TypeSafe System One, can select an agent for a task based on a confidence score, with a default agent as fallback.
Background jobs support refactors and code reviews that don't need an immediate response. Discord and Feishu integrations let people submit work through chat and receive results there; webhooks support callbacks to other services. An MCP server also makes Bridge agents accessible from Claude Desktop, Kiro and Cursor. Reusable prompt templates give people a way to request common tasks by filling in variables.
The gateway and agent processes run on the machine or server you control. Model requests can still go to cloud services: the documented full stack uses LiteLLM and mantle-proxy to send requests to AWS Bedrock Mantle. For deployments spread across servers, its decentralized mesh supports agent discovery, remote calls and pipelines spanning multiple Bridge instances.
Claim this page and we'll verify you by hand. ACP Bridge gets the verified badge, and you can upgrade the listing to be featured on localhosted. Proud to be listed? Put our badge on your site.
Want more people to find ACP Bridge?Promote it
Something wrong or outdated on this page?
24.8KUpdated 1 day ago
Docker · Web#Code execution#Human approval#MCP
Activepieces brings AI agents and workflow automation into one workspace for teams that need to connect their apps and internal data. It runs on your own servers with Docker or Kubernetes, or as a managed cloud service. An isolated deployment can keep platform data on its own infrastructure; connected apps and model providers may still require external access. Its core and app integration pieces are MIT-licensed.
2.3KUpdated 2 days agoApache-2.0
macOS · Windows · Linux · Docker · Web#Agent Skills#Guardrails#Human approval
18.2KUpdated 5 months agoApache-2.0
macOS · Windows · Linux · Docker · Web#Guardrails#Human approval#Knowledge graphs
137Updated 15 hours ago
macOS · Windows · Linux · Docker · Web#Agent Skills#Human approval#Knowledge graphs
32.9KUpdated 1 day agoApache-2.0
macOS · Windows · Linux · Docker · Web#Agent Client Protocol#Code execution#Guardrails
117Updated 5 days ago
Docker · Web#Guardrails#Human approval#Hybrid search
AlexClaw is a self-hosted personal AI agent for one operator who wants to monitor information sources and automate recurring tasks on their own infrastructure. Built on Elixir/OTP and available through Docker, it collects RSS feeds, web pages, GitHub activity and API data into a searchable knowledge base. It has no multi-user access control.
Agency Orchestrator turns a task description into a team of specialist AI roles that divide the work and combine their results. It's for solo builders, developers and content creators who want repeatable workflows for product planning, research or code review. The open-source software uses the Apache 2.0 license and runs locally through a browser interface, a desktop app for macOS, Windows and Linux, or Docker on a server or NAS.
OpenFang runs scheduled AI agents on your own machine, with built-in task packages called Hands that report results to a dashboard. It's for people who want recurring research, monitoring or business tasks to continue without prompting an agent each time. The open source platform runs on macOS, Windows and Linux under the Apache 2.0 license.
Project Orchestrator is a self-hosted coordination tool for developers working with multiple AI coding agents. It keeps code knowledge, development plans, and architectural decisions in a shared store so agents can reuse context across tasks and projects. It runs on macOS, Windows, and Linux, with desktop apps and Docker deployment available.
ZeroClaw is a self-hosted personal AI agent for people who want an assistant on their own computer or server, with control over its models and actions. It can answer messages, run shell commands, use a browser and carry out scheduled tasks. The agent runs locally.