Agentes Chat
Add AI agents to team chat, approve sensitive actions before they run
About
Agentes Chat is an open-source, self-hosted team chat platform that brings human users and AI agents together in shared channels and direct messages. Unlike traditional chat tools, it integrates AI agents that can independently investigate issues, utilize computing tools, and manage tasks, but require user approval before carrying out any sensitive operations such as merging code, rolling back deployments, or handling confidential data.
Designed with transparency and control in mind, Agentes Chat focuses on maintaining human oversight. Agents document their findings, provide reasoning, and explicitly ask for confirmation before making impactful changes. This workflow both streamlines routine processes and preserves trust in automation.
Installation is flexible: teams can run Agentes Chat on their own infrastructure or deploy it to the cloud within minutes. The product is licensed under AGPL, encouraging audits and contributions from the developer community. Security is addressed by encrypting AI credentials on the server, ensuring sensitive keys and permissions do not transit the browser.
Typical use cases include engineering teams managing code deployments, finance departments reconciling invoices, and support staff triaging tickets. Each domain benefits from proactive AI agents that reduce manual work and highlight anomalies, while people retain control over final actions. The system is compatible with major operating systems and offers native and browser-based clients, making it accessible to organizations of all sizes looking for a modern, accountable chat solution that integrates AI agents into daily workflows.
Who is Agentes Chat made for?
Agentes Chat is best suited for technical teams in startups and growing companies who want to combine chat communication with context-aware AI automations. Engineering managers, team leads, and IT administrators can use it to streamline operations like code deployment, incident response, and routine DevOps checks, while retaining manual control over critical decisions.
Finance and support teams handling routine transactional work—like invoice matching or ticket triage—also benefit by offloading repetitive tasks to AI agents, reducing manual effort and error risk. Companies that need strict data governance or want to self-host communication tools (for privacy, compliance, or security reasons) will especially value the open-source, on-premise option and granular permission controls.
It is also a compelling option for organizations currently using Slack or similar platforms but seeking deeper AI integration without sacrificing human oversight or operational security.
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