Introduction
GitHub Copilot on OpenACP: Beyond the IDE is a topic that every modern developer working with AI coding tools should understand thoroughly. As the landscape of AI-powered development continues to evolve rapidly in 2026, tools like OpenACP are becoming essential for teams and individual developers who want to maximize their productivity while maintaining control over their workflow.
OpenACP is a free, open-source bridge that connects 28+ AI coding agents — including Claude Code from Anthropic, Gemini CLI from Google, Codex from OpenAI, GitHub Copilot, Cursor, Cline, goose, and many more — to the messaging platforms you already use: Telegram, Discord, and Slack. Built on the open Agent Client Protocol (ACP), it provides a universal interface for controlling AI agents from anywhere, on any device.
In this comprehensive guide, we will explore every aspect of this subject in detail, providing you with practical knowledge, code examples, configuration snippets, and best practices that you can apply immediately to your development workflow. Whether you are a seasoned developer or just getting started with AI-assisted coding, this guide will help you understand and leverage these capabilities effectively.
Understanding the Fundamentals
Before diving into the specifics, it is important to build a solid foundation of understanding. The concepts covered in this article build upon the core architecture of OpenACP, which acts as a bridge between AI coding agents and messaging platforms through the Agent Client Protocol.
The ACP protocol, inspired by the Language Server Protocol (LSP) that standardized editor-language server communication, standardizes how tools communicate with AI coding agents. This means that when a new AI agent is released and registered on the ACP Registry at agentclientprotocol.com, it becomes automatically available in OpenACP without any code changes. You simply run openacp agents install agent-name and start using it immediately.
OpenACP's architecture consists of three main layers. The channel adapters handle communication with Telegram (using grammY), Discord (using discord.js), and Slack (using @slack/bolt). The core module (OpenACPCore) orchestrates message routing, session management, and agent lifecycle. The agent instances wrap AI coding agents as ACP subprocesses, translating protocol events into chat-friendly output.
Key Concepts
Sessions are the fundamental unit of work in OpenACP. Each session represents a single conversation between a user and an AI agent working in a specific project directory. Sessions support auto-naming, where the agent generates a descriptive title after the first message, and they persist across daemon restarts so you never lose your context.
The permission system provides granular control over agent actions. When an agent wants to write a file, run a command, or perform any potentially impactful action, OpenACP sends a permission request with approve and deny buttons directly in your chat. This gives you full control while allowing the agent to work autonomously when you choose to enable auto-approve (dangerous mode).
Real-time streaming ensures you see everything the agent is doing as it happens. This includes thinking indicators with elapsed time, text responses streamed as they are generated, and tool call status tracking showing pending, in-progress, and completed operations with visual progress indicators.
Practical Implementation
Let's get into the practical details of implementing and working with this feature. The following sections provide step-by-step instructions, configuration examples, and code snippets that you can use directly in your projects.
Getting Started
The first step is always to ensure you have OpenACP installed and properly configured. If you haven't done so already, install it globally via npm:
npm install -g @openacp/cli
openacpThe interactive setup wizard will walk you through choosing your messaging platform (Telegram, Discord, Slack, or multiple), connecting your bot with token validation and auto-detection, picking a workspace directory, selecting your default AI agent, and choosing your run mode (foreground or daemon).
Configuration
OpenACP stores its configuration in ~/.openacp/config.json, which is validated using Zod schemas for type safety. Key settings include:
{
"channels": {
"telegram": {
"enabled": true,
"botToken": "YOUR_BOT_TOKEN",
"chatId": -1001234567890
}
},
"defaultAgent": "claude-code",
"workspace": "~/code",
"security": {
"allowedUserIds": ["123456789"],
"maxConcurrentSessions": 20,
"sessionTimeout": 3600000
}
}You can override any setting using environment variables with the OPENACP_ prefix. For example, OPENACP_DEFAULT_AGENT=gemini overrides the default agent selection. Changes made through openacp config are applied via hot-reload without requiring a restart when running in daemon mode.
Advanced Techniques and Best Practices
Now that you understand the basics, let's explore advanced techniques that will help you get the most out of this feature in real-world development scenarios.
Optimizing Your Workflow
One of the most important optimizations is choosing the right agent for each task. Claude Code excels at complex reasoning, large context windows, and nuanced code understanding. Gemini CLI is particularly strong at multi-modal tasks and quick responses. Codex CLI offers fast code generation with OpenAI's latest models. Having 28+ agents available through a single interface means you can switch based on the task at hand.
Session management is another area where advanced users gain significant productivity. Use the /newchat command to start fresh conversations while keeping the same agent and workspace. Use /sessions to list all active sessions and switch between them. And leverage the /handoff command to seamlessly transfer sessions between your terminal and chat platform — start complex work at your desk, then monitor and adjust from your phone.
Security Considerations
For production and team environments, always configure allowedUserIds to restrict access to authorized users only. Set appropriate maxConcurrentSessions limits to prevent resource exhaustion. Use sessionTimeout to automatically clean up idle sessions. And regularly run openacp doctor to verify your configuration and system health.
OpenACP is fully self-hosted, meaning all data stays on your machine. No code, conversations, or configuration is sent to any external OpenACP server. The only external communication is between your AI agent and its provider's API (e.g., Anthropic for Claude Code, Google for Gemini), which is standard for any AI agent usage.
Performance Tips
For large codebases, consider these performance optimizations: use workspace directories that are scoped to specific projects rather than your entire home directory, configure appropriate session timeouts to free up resources, and choose agents that are optimized for your specific use case. Running OpenACP in daemon mode with openacp start provides the best performance as it keeps the process warm and avoids cold start delays.
Troubleshooting and Common Issues
Even with the best configuration, you may encounter issues. Here are the most common problems and their solutions.
If your bot is not responding, first check that OpenACP is running with openacp status. Verify your bot token is correct and the bot has been added to the correct group or server. Run openacp doctor to perform a comprehensive system health check that verifies Node.js version, agent installations, configuration validity, and platform connections.
Connection drops can occur due to network instability or platform rate limits. OpenACP includes automatic reconnection logic for all supported platforms. If drops persist, check your network stability and ensure you are not exceeding platform rate limits.
For agent-specific issues, verify the agent is properly installed with openacp agents info agent-name. Some agents require additional authentication — Claude Code needs claude login, Gemini CLI needs openacp agents run gemini -- auth login, and Codex CLI needs the OPENAI_API_KEY environment variable set.
Permission timeout errors occur when no one responds to a permission request within 10 minutes. If this happens frequently, consider enabling auto-approve for trusted development environments using /enable_dangerous in Telegram or /dangerous in Discord.
Frequently Asked Questions
What is OpenACP and how does it work?
OpenACP is a free, open-source, self-hosted bridge that connects 28+ AI coding agents to Telegram, Discord, and Slack. You send messages in your chat app, OpenACP forwards them to the AI agent running on your machine, and the agent's responses stream back in real time. It uses the Agent Client Protocol (ACP) for standardized agent communication.
Is OpenACP free to use?
Yes, OpenACP is completely free and open-source under the MIT license. You may still incur costs from the AI agent providers themselves (e.g., Anthropic API credits for Claude Code), but OpenACP itself costs nothing.
Which AI agents does OpenACP support?
OpenACP supports 28+ agents including Claude Code, Gemini CLI, Codex CLI, GitHub Copilot, Cursor, Cline, goose, Amp, Auggie CLI, Junie, Kilo, Qwen Code, and more from the ACP Registry. New agents become available automatically when registered.
Can I use OpenACP with multiple platforms simultaneously?
Yes, you can connect OpenACP to Telegram, Discord, and Slack all at once. Each platform operates independently with its own sessions, so you can use whichever platform is most convenient at any given moment.
Is my code safe with OpenACP?
OpenACP is fully self-hosted. All code, configuration, session history, and logs stay on your machine in the ~/.openacp/ directory. Nothing is sent to any OpenACP server. The only external communication is between the AI agent and its provider's API.
How is OpenACP different from Claude Code Channels?
OpenACP is free (vs $20/month), supports 28+ agents (vs Claude only), works on Telegram and Discord (not just Slack), is fully self-hosted (vs hybrid), supports voice messages, and uses the open ACP protocol (vs proprietary).
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Get Started Today
Ready to try this yourself? Install OpenACP and start coding with AI from your favorite messaging platform:
npm install -g @openacp/cli
openacpFor more information, visit the OpenACP documentation or explore the GitHub repository.