AgentConnect today introduced its open-source platform for teams and multiple AI agents to work together across the communication and development tools they already use. The announcement, made on August 26, 2026, positions the platform as an alternative to single-agent, single-terminal workflows that dominate current AI agent usage. By bringing agents into existing team conversations, the platform aims to solve the problem of fragmented context and isolated bot integrations that hinder collaborative work.
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, however, brings agents into existing team conversations instead. Teams can connect Claude Code, Codex, and other ACP-compatible agents, give each one a distinct role, and let people and agents collaborate 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." This approach is designed to enhance real-time collaboration, allowing human teammates to add context, redirect work, and follow the diagnosis and decisions in the same Slack thread, for instance.
The platform's utility extends beyond incident response. For example, a support issue can move from a customer-facing Telegram conversation into a trusted Slack workspace without copying context by hand. Engineering teams can combine general and specialist reviewers around the risk of each pull request, with inline GitHub comments and independent check results. Scheduled and webhook-driven work can also continue in a shared conversation when human input is needed.
AgentConnect includes several key features: multiple agents with distinct models, workspaces, memory, MCP servers, skills, repository access, and sandbox policies; work across existing tools like Slack, Telegram, and Discord, with triggers from conversations, GitHub pull requests, webhooks, or schedules; fine-grained access control that separates agent access from session visibility and manages which tools, repositories, and other agents each agent may reach; and open-source availability under Apache 2.0, deployable via Docker Compose or Kubernetes, with agent execution and workspaces remaining in the team's environment.
AgentConnect OSS is available today. The source code can be explored and starred on GitHub, and more information is available at agentconnect.md or in the documentation. The platform's open-source nature and focus on interoperability with existing tools could lower barriers for teams adopting multi-agent workflows, potentially accelerating the integration of AI agents into daily operations.
