deepagents-code
Terminal coding agent built on the Deep Agents SDK - works with any model, with persistent memory, customizable skills, subagents, and approval controls.
Decision gist · record as of 2026-08-14
Yes. Active maintenance, low install friction, no known vulnerabilities, permissive MIT license, and a large runtime dependency graph that is well-established (langchain, langgraph, pydantic). Best for developers who want an interactive LLM-powered coding assistant in the terminal and are willing to configure an LLM provider. Avoid running it on untrusted code without a remote sandbox backend.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later and a configured LLM provider (OpenAI, Anthropic, or Gemini included by default; others available via extras).
- Low friction: pure Python wheel with no compiled dependencies.
- Active maintenance with a release on 2026-08-14 and 27776 repository stars.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution for commercial and private purposes with minimal attribution requirements.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 27,776 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 116,641 downloads/mo, #12,197 on PyPI
Alternatives
Verify before relying
curl -LsSf https://langch.in/dcode | bash
dcode- Whether remote sandbox backends (LangSmith, AgentCore, Daytona, Modal, Runloop) require separate credentials or setup beyond the base install.
- Performance characteristics when handling large codebases or long conversation histories.
- Whether custom skills can be added without modifying the package source or if there is a plugin system.
What it is and what it does
deepagents-code is a pre-built terminal agent that lets you interact with any LLM that supports tool calling to write, debug, and run code—similar to Claude Code or Cursor but in your terminal. It wraps the Deep Agents SDK with a rich interactive TUI, conversation persistence, web search grounding, and optional sandboxed execution. You install it with a single command and run `dcode` to start; no Python code required from you.
The agent operates in your working directory by default, reading project files to inform its responses and executing code with human-in-the-loop approval gates. It supports 35 runtime dependencies including langchain, langgraph, pydantic, and model-provider integrations (langchain-openai, langchain-anthropic, langchain-google-genai). For untrusted codebases, you can route execution to remote sandboxes to isolate it from your machine. The package is actively maintained, supports Python 3.11–3.14, and carries an MIT license.
Use it for
- Rapid prototyping and debugging: ask the agent to write, test, and fix code interactively in your terminal without leaving the shell.
- Code review and refactoring: feed the agent your project files and ask it to suggest improvements or refactor sections with approval before changes.
- Learning and experimentation: use it as a hands-on tutor to explore new libraries or algorithms with live code execution and feedback.
- CI/CD scripting: run dcode in headless mode to generate or validate code as part of automated pipelines.
- Untrusted repository inspection: analyze third-party code in a remote sandbox to prevent malicious execution on your local machine.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Active maintenance, low install friction, no known vulnerabilities, permissive MIT license, and a large runtime dependency graph that is well-established (langchain, langgraph, pydantic). Best for developers who want an interactive LLM-powered coding assistant in the terminal and are willing to configure an LLM provider. Avoid running it on untrusted code without a remote sandbox backend.
Install
deepagents-code on PyPI
Before you install
Low friction: pure Python wheel with no compiled dependencies. Active maintenance with a release on 2026-08-14 and 27776 repository stars. Requires Python 3.11 or later.
Requires Python 3.11 or later and a configured LLM provider (OpenAI, Anthropic, or Gemini included by default; others available via extras).
License in practice
MIT license permits unrestricted use, modification, and distribution for commercial and private purposes with minimal attribution requirements.
Quickstart
curl -LsSf https://langch.in/dcode | bash
dcodeVerify before relying
- Whether remote sandbox backends (LangSmith, AgentCore, Daytona, Modal, Runloop) require separate credentials or setup beyond the base install.
- Performance characteristics when handling large codebases or long conversation histories.
- Whether custom skills can be added without modifying the package source or if there is a plugin system.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 35 packagesaiosqliteanyiodeepagents-acpdeepagentsfilelockgenai-priceshttpxlangchain-anthropiclangchain-google-genailangchain-mcp-adapterslangchain-openailangchain-quickjslangchainlanggraph-checkpoint-sqlitelanggraph-clilanggraph-runtime-inmemlanggraph-sdklangsmithmarkdownifymcppackagingpillowprompt-toolkitpydanticpyperclippython-dotenvpyyamlrequestsrichtavily-python |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 116,641 / month, #12,197 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries :: Python ModulesTopic :: Terminals |
Evidence: deepagents_code-0.1.56-py3-none-any.whl
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See also deepagents · deepagents-cli · detect_agent · deepagents-acp · autokeren · cursor-sdk · langchain-quickjs · aider-chat · mistral-vibe · extra-platforms