AgentConnect Launches Open-Source Platform for Multi-Agent Team Collaboration

AgentConnect today announced the release of its open-source platform designed to enable teams and multiple AI agents to work together across the communication and development tools they already use. The platform addresses a common limitation in current AI agent deployments, where work is often confined to individual terminals and fragmented contexts, hindering team collaboration.

According to the company, AI agents are becoming increasingly capable, but most agent work still begins and ends with one person. Sessions live in individual terminals, context stays fragmented, and teams build separate bots and integrations for each new workflow. Products that add a team layer often move the work into another dedicated workspace or tie it to a single agent provider. AgentConnect aims to bring agents into existing team conversations instead, allowing teams to connect Claude Code, Codex, and other ACP-compatible agents, assign distinct roles, and enable collaboration through shared conversations and agent-to-agent calls.

“AI agents become much more useful when they can work with the rest of the team, not just one person in one terminal,” the AgentConnect team said. “AgentConnect brings agents with different roles into the conversations where work is already happening.”

The platform offers practical applications across various scenarios. For instance, a team responding to an incident can ask a triage agent to inspect the available context, bring in a code specialist to trace a suspected regression, and use a verification agent to check the proposed result. Human teammates can add context, redirect the work, and follow the diagnosis and decisions in the same Slack thread. This model extends beyond incident response: support issues can move from customer-facing Telegram conversations into trusted Slack workspaces without manual context copying, and engineering teams can combine general and specialist reviewers for pull requests, with inline GitHub comments and independent check results.

AgentConnect includes several key features. It supports multiple agents with distinct models, workspaces, memory, MCP servers, skills, repository access, and sandbox policies. It integrates with Slack, Telegram, and Discord, allowing work to be initiated from conversations, GitHub pull requests, webhooks, or schedules, and can continue across trusted messaging workspaces. The platform offers fine-grained access control, managing agent access separately from session visibility, and linking multiple social accounts to one member profile for consistent permissions. As an open-source solution, AgentConnect is licensed under Apache 2.0 and can be deployed with Docker Compose or Kubernetes, ensuring agent execution and workspaces remain within the team’s environment.

The release of AgentConnect OSS is available today. Interested parties can explore the source and star the project on GitHub, learn more at agentconnect.md, or read the documentation. This launch is significant for Texas businesses and the broader tech industry, as it provides a flexible, self-hosted solution that integrates AI agents into existing workflows, potentially reducing operational silos and enhancing productivity across teams.