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dcode: Open-Source Terminal Coding Agent

dcode is an open-source terminal coding agent built on the Deep Agents SDK. It allows customization of agent harnesses, control over code execution, and integration with various models and APIs.

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dcode: Open-Source Terminal Coding Agent screenshot
dcode: Open-Source Terminal Coding Agent screenshot

dcode is an open-source terminal coding agent designed for developers who need control over their coding environment. Built on the Deep Agents SDK, dcode allows users to customize their agent harness, control code execution, and bring their own models. It supports switching between models on-the-fly while retaining conversation state, enabling seamless transitions and continuity.

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With dcode, users can share knowledge between sessions and agents using configurable memory, ensuring that valuable context is preserved across interactions. The platform offers Claude-compatible hooks and plugins for execution customization, allowing developers to tailor their coding agents to specific needs. Additionally, dcode supports adding custom models and providers through config files, providing flexibility in model selection.

dcode integrates with LangSmith for tracing and governing coding agents, offering insights into prompts, model responses, tool calls, errors, and token usage. Users can apply granular cost policy controls through LangSmith and LLM Gateway, ensuring efficient resource management. The platform provides secure sandboxes for agent tool execution, enhancing security and reliability.

Compatible with OpenAI, Anthropic, and OpenAI/Anthropic-compatible APIs, dcode allows users to switch providers or models based on quality, cost, and latency requirements. Model-specific prompting and tool descriptions can be automatically applied, optimizing agent behavior. Teams can share tuned configurations via config.toml, facilitating collaboration and consistency.

dcode is priced at USD 0, making it accessible for teams looking to ship great agents. It offers three ways to build, from full harness to full control, allowing users to choose the components they need and compose the rest of the stack around it. The platform is ideal for teams seeking an inspectable, configurable agent rather than a fixed coding assistant.

  • CategoryAI Agent Builders
  • Pricing ModelOpen Source
  • DeploymentTerminal
  • PlatformsWeb

  • Open-source terminal coding agent

  • Customizable agent harness

  • Control code execution

  • Switch models on-the-fly

  • Configurable memory sharing

  • Claude-compatible hooks and plugins

  • LangSmith integration for tracing

  • Granular cost policy controls

  1. Configure: Set up agent harness and models

  2. Use: Execute code with custom models

  3. Optimize: Apply model-specific prompts

  4. Secure: Use sandboxes for tool execution

  • Model Switching
  • Custom Execution
  • Token Management
  • Secure Sandbox
  • Team Collaboration

From LangChain

dcode: Open-Source Terminal Coding Agent Reviews

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