deepagents-cli
Deployment tooling for Deep Agents - bundle, run, and ship agents to LangGraph Platform.
Decision gist · record as of 2026-08-14
Yes, if you are already using LangChain and LangGraph and have access to the Managed Deep Agents private preview. The tool significantly reduces friction for agent project scaffolding and deployment. If you do not yet have LangSmith API access to the preview, installation alone will not be useful until that access is granted.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a LangSmith API key with access to the Managed Deep Agents private preview (waitlist-gated); Python 3.11 or later.
- Low install friction with a pure-Python wheel.
- Active maintenance (last commit 2026-08-14) and recent release cycle.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both commercial and open-source projects.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 27,777 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 82,350 downloads/mo, #14,168 on PyPI
Alternatives
Verify before relying
# Install via uv
uv tool install deepagents-cli
# Set your LangSmith API key
export LANGSMITH_API_KEY="your-key-here"
# Scaffold a new agent project
deepagents init my-agent
# Deploy to LangGraph Platform
cd my-agent && deepagents deploy- Whether the private preview waitlist remains the only path to use this tool, or if access has broadened since the fact sheet was generated.
- Whether MCP server registration and agent deployment work offline or require continuous LangSmith connectivity.
What it is and what it does
deepagents-cli is a command-line deployment toolkit for LangChain's Deep Agents framework. It provides scaffolding, configuration, and deployment commands to bundle agent definitions (agent.json, tools.json, skills, subagents) and ship them to the LangGraph Platform. The package depends on deepagents, langchain, langgraph, langgraph-sdk, langsmith, httpx, and python-dotenv—all core components of the LangChain ecosystem.
The tool's main workflow is: initialize a project structure with `deepagents init`, register any Model Context Protocol (MCP) servers your agent will use via `deepagents mcp-servers add`, configure tools and backend settings in the project files, then deploy with `deepagents deploy`. It supports both stateless and sandbox backends, with sandbox scope and policy configuration. The package is actively maintained, has no known vulnerabilities, and targets Python 3.11–3.14.
Use it for
- Scaffold and deploy a new LangChain Deep Agent to the LangGraph Platform without manual API calls.
- Register and manage MCP servers in a workspace to provide tools for multiple agents.
- Configure agent backend behavior (state vs. sandbox) and set sandbox policies for isolated execution.
- List, inspect, and delete agents or MCP servers already deployed in a workspace.
- Integrate agent deployment into CI/CD pipelines via CLI commands.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using LangChain and LangGraph and have access to the Managed Deep Agents private preview.
The tool significantly reduces friction for agent project scaffolding and deployment. If you do not yet have LangSmith API access to the preview, installation alone will not be useful until that access is granted.
Install
deepagents-cli on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance (last commit 2026-08-14) and recent release cycle. Depends on langchain, langgraph, and langsmith ecosystem packages, which are standard in the LLM agent space.
Requires a LangSmith API key with access to the Managed Deep Agents private preview (waitlist-gated); Python 3.11 or later.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both commercial and open-source projects.
Quickstart
# Install via uv
uv tool install deepagents-cli
# Set your LangSmith API key
export LANGSMITH_API_KEY="your-key-here"
# Scaffold a new agent project
deepagents init my-agent
# Deploy to LangGraph Platform
cd my-agent && deepagents deployVerify before relying
- Whether the private preview waitlist remains the only path to use this tool, or if access has broadened since the fact sheet was generated.
- Whether MCP server registration and agent deployment work offline or require continuous LangSmith connectivity.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesdeepagentshttpxlangchainlanggraph-sdklanggraphlangsmithpython-dotenv |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 82,350 / month, #14,168 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 Modules |
Evidence: deepagents_cli-0.2.2-py3-none-any.whl
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See also deepagents-code · langchain-quickjs · deepagents-acp · deepagents · agent-governance-toolkit-cli · langchain-cli · langchain-modal · apm-cli · agnoctl · Naked