CoChat AI

What is CoChat AI?

CoChat is a team-focused AI agent workspace that brings humans and AI agents into the same collaborative environment. Built on top of OpenClaw, it lets teams connect self-hosted or managed agent gateways, run multi-model conversations, and automate recurring tasks — all without sharing machines or compromising security. Each AI agent carries its own memory, personality, and scheduled responsibilities, making it act less like a chatbot and more like a persistent teammate. CoChat integrates with tools like Slack, Discord, and GitHub, and supports MCP (Model Context Protocol) for deeper agent-to-workflow connectivity.

Key Features

• Collaborative Team Threads

  Humans and AI agents share the same conversation thread, each contributing from their distinct roles. Context is preserved across sessions so projects keep moving forward without repeating background information.

• Multi-Model Support

  Switch between or run GPT, Claude, Mistral, Llama, and other models side-by-side within a single conversation. Teams can pick the best model per task without locking into a single vendor.

• Automated Security Auditing

  Every connected gateway is automatically scanned using Carapace, CoChat's open-source security scanner that runs 225+ CVE checks and 24 audit rules. Full visibility before any agent touches your workflow.

• Persistent Agent Memory & Scheduling

  Agents maintain their own memory that grows over time and can be assigned scheduled tasks via cron, webhooks, or intervals — handling monitoring, reporting, and research on autopilot.

• Tool & Platform Integrations

  Connects directly with Slack, Discord, GitHub, and other daily tools. Agents can query analytics, update projects, and automate workflows within the same conversation.

• MCP Connectivity

  The CoChat MCP links coding agents to the collaborative workspace, enabling implementation plans to be shared as threads where engineers and AI models can review, comment, and feed decisions back into active sessions.

Use Cases

• Team AI Collaboration : Engineering, marketing, and operations teams can work alongside AI agents in shared threads, keeping context intact and avoiding the information silos that come from isolated chatbot usage.
• Automated Monitoring & Reporting : Teams can schedule agents to monitor competitor activity, summarize GitHub commits, digest crash reports, or deliver weekly briefings — all delivered automatically on a set schedule.
• Secure Enterprise Agent Deployment : Companies can connect self-hosted OpenClaw gateways to CoChat and share agents across the organization without exposing machines via SSH, with full audit logs and approval flows for sensitive operations.
• Multi-Model Research & Comparison : Analysts and developers can run the same prompt across multiple models simultaneously to compare outputs, identify the best-fit model, and make more informed decisions.
• Workflow Automation via Integrations : Teams can automate repetitive workflows by connecting CoChat agents to tools like Slack and GitHub, triggering actions directly from conversation without switching between platforms.

FAQs