langchain-ai

Fleet Deepagents Export — Development skill for Claude Code

Development community

Self-contained code export for LangSmith Fleet deep agents.

How to install Fleet Deepagents Export

This entry records only its repository, not the path inside it, so there is no exact command to give. Open langchain-ai/fleet-deepagents-export and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Fleet Deepagents Export does

Self-contained code export for LangSmith Fleet deep agents.

Alternatives in Development

Third-party Notices — THE FOLLOWING SETS FORTH ATTRIBUTION NOTICES FOR THIRD PARTY SOFTWARE THAT MAY BE CONTAINED IN PORTIONS OF THI 94.7k ★
Ctf 24h Fleet — 24h unattended multi-target Web CTF fleet loop runner 1.1k ★
Sdlc Fleet — SDLC Fleet Pattern (skill module) 1.1k ★

README

fleet-deepagents-export

Runtime support for agents exported from LangSmith Fleet. Reads the export config and wires up a deepagent with MCP tools, subagents, and skills.

Published on PyPI as [`fleet-deepagents-export`](https://pypi.org/project/fleet-deepagents-export/):

pip install fleet-deepagents-export

**This package is usually consumed via [`examples/template-agent/`](examples/template-agent) — a drop-in starter project that depends on it. Copy that directory, drop your Fleet export into `fleet/`, and run.**

Quickstart

Requires [`uv`](https://docs.astral.sh/uv/getting-started/installation/) and Python 3.11+ (`uv` will fetch a compatible Python if you don't have one).

Working with a coding agent (Claude Code, Cursor, etc.)? Point it at this repo and your `.zip` and ask it to set up the starter — the IDs it needs for `.env` are all in `fleet/config.json` after unzipping.

Grab the starter (it pulls fleet-deepagents-export from PyPI as a normal dependency):
```
git clone --depth 1 https://github.com/langchain-ai/fleet-deepagents-export.git
cp -R fleet-deepagents-export/examples/template-agent my-agent && cd my-agent
```
Or, if you'd rather wire things up by hand, pip install fleet-deepagents-export into your own project and follow the layout described under What the package reads.
Export your agent from LangSmith Fleet (the .zip), then drop the contents into fleet/ (which ships empty apart from a placeholder README):
```
unzip path/to/my-export.zip -d fleet/
```
Fill in .env:
```
cp .env.example .env   # then edit
```
The three LANGSMITH_*_ID values live in fleet/config.json under metadata — just copy them across.

Run:

make setup    # install dependencies (uv sync)

# then use one of these to interact with the agent:
make dev      # LangGraph Studio — browser UI for chatting with the agent and inspecting graph state