AgentConnect: Open-Source Multi-Agent Automation for Small Teams

What Is AgentConnect?

AgentConnect is an open-source platform where teams and multiple AI agents work together across Slack, Telegram, Discord, Lark, Google Chat, GitHub, GitLab, Gitea, and Linear. According to the official GitHub repository, it is described as “the open-source, multi-agent alternative to Claude Tag.” The platform allows you to bring Claude Code, Codex, Grok Build, DeepSeek, Pi, or any ACP-compatible agent into the conversations and workflows your team already has open.

The project is hosted on GitHub under the Apache-2.0 license and has received 1,521 stars and 81 forks. It is built with TypeScript and includes components like Jev for agent routing and model selection. The platform is self-hosted, meaning you run it on your own infrastructure using Docker or Kubernetes.

Why Small Businesses Should Care

For small businesses, the main problem AgentConnect solves is fragmentation. Most AI agents live in one person’s terminal or a single app. Teammates can’t see what an agent is doing, can’t take over a session, and the context an agent builds stays on one laptop. As the project’s documentation explains, “every team writes the same glue: message channels, cron jobs, credential handling, context stitching.” AgentConnect turns that glue into a platform.

Small businesses often lack the resources to build custom integrations between their chat tools, project management, and AI agents. AgentConnect provides a ready-made, open-source solution that works with the tools you already use. Because it is self-hosted and Apache-2.0 licensed, you retain full control over your data and agent execution environment.

Practical Use Cases for Small Teams

The project lists several real-world use cases. One is triaging issues together: use Jev to route new support conversations to the right specialists. People and agents investigate in one shared thread, and the fix and verification stay visible from start to finish.

Another use case is support across trusted workspaces. You can start a support conversation in Telegram, involve engineering from a trusted Slack workspace, and return the resolution where the conversation began. This is especially useful for small businesses that communicate with customers or partners across different platforms.

AgentConnect also supports running recurring operations. You can start work from a schedule or webhook, bring exceptions into a shared conversation, and keep the human decision visible. For example, a small e-commerce business could schedule daily inventory checks and have an agent alert the team only when stock is low.

Finally, the platform can run customized code review. Use Jev to select reviewers for new GitHub pull requests and the runtime and model for each new review session. Bring in general, architecture, or security reviewers with their own instructions, repository access, tools, and sandbox policies.

Key Features That Matter for Small Business Automation

AgentConnect allows you to create agents with different roles and let them call on one another, while people follow along in the conversations where the work happens. Multiple AI runtimes—Claude Code, Codex, Grok Build, DeepSeek, Pi, and any other ACP-compatible runtime—run side by side. Changing one agent does not rebuild the workflow around it.

You can link agents to bots in Slack, Telegram, Discord, Lark, and Google Chat, or to repositories, issues, and workflows on GitHub, GitLab, Gitea, and Linear. Each agent’s runtime, model, workspace, tools, and machine are configured independently. The platform uses reusable Decisions powered by Jev to decide when agents respond, route new conversations to specialist agents, and choose a runtime and model for each new session.

Context is carried forward through each agent’s own memory and skills. Reviewed Knowledge can be published so every agent can find it on demand. You also set clear boundaries: decide who can see each agent and session, which repositories and tools it may use, and which other agents it may call. Because the stack is self-hosted, you stay in control of agent execution and workspaces.

Getting Started and Community Support

The project provides a quick start using Docker Compose. The official GitHub repository includes a command to clone the repository and start the Web console, Control Plane, Relay, and PostgreSQL. After starting, you open http://localhost:3000, add a daemon from the console, run its generated command, and create your first agent. The default stack listens only on 127.0.0.1 and uses local no-auth mode for evaluation.

For production deployments, a Helm chart is available for Kubernetes. The chart is published on every release under the same version number as the release itself. The project also has a community with contributing guidelines, a security policy, and a blog. With 1,521 GitHub stars and an active repository, it is a solid option for small businesses exploring practical automation.

Takeaways

• AgentConnect is an open-source, self-hosted platform that lets you tag AI agents directly in Slack, Discord, GitHub, and other tools your team already uses.
• Small businesses can automate routine tasks, triage support issues, and run recurring operations without switching apps or building custom integrations.
• The platform supports multiple AI runtimes side by side, gives each agent its own role and memory, and keeps all work visible in shared conversations.