Agent Code review
A flexible open-source agent for terminal, script, and CI-based coding workflows.
Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
Agent Code is an open-source AI coding agent for developers who work in terminals, scripts, CI environments, or compatible editors. Its interactive fullscreen terminal interface supports file editing, repository search, shell command execution, web tools, and multi-step engineering tasks. The project is written in Rust and distributed under the MIT license, with support for Windows, macOS, Linux, web, and API environments.
Its strongest fit is breadth across model providers and engineering controls. Agent Code supports Anthropic, OpenAI, Azure OpenAI, xAI, Google Gemini, DeepSeek, Groq, Mistral, Together, Zhipu, Cohere, Perplexity, OpenRouter, Amazon Bedrock, and Google Vertex AI. Permission modes and sandbox controls help govern command execution, while persistent resumable sessions support work that extends across interactions. MCP, LSP, subagents, and web tools add flexibility for repository-level tasks, and whole-repository security scanning broadens its scope beyond code generation.
The main trade-off is that Agent Code is designed around terminal and headless workflows rather than a single integrated IDE experience. Agent Client Protocol support can connect it with compatible editors, but the workflow still centers on the agent's terminal, scripts, and CI capabilities. Model usage also requires a separately configured provider API key or subscription, so the software and model access are separate considerations. Choose Agent Code if you want an open-source, provider-flexible agent with shell access, sandboxing, resumable sessions, and automation support. Developers seeking a primarily IDE-centered assistant may prefer a product built around that experience.
Questions about Agent Code
What does Agent Code run on? Windows, macOS, Linux and Web. It runs self-hosted and as a desktop app.
What does Agent Code integrate with? 18 integrations, including Anthropic, OpenAI, Azure OpenAI, xAI and Google Gemini.
Who is Agent Code built for? Solo users, small businesses, mid-market companies and enterprises (our editorial estimate).
Agent Code pros and cons
- Where it wins
- Headless execution supports scripts and CI environments.
- Multi-provider support includes Anthropic, OpenAI, Gemini, and others.
- Permissions, sandboxing, sessions, MCP, and subagents support controlled workflows.
- Where it doesn't
- Model usage requires a separately configured provider API key or subscription.
- Its primary workflow is centered on terminals, scripts, and CI.
- Editor integrations depend on compatible editors using Agent Client Protocol.
Agent Code fact sheet, pricing and score →
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