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examples

README.md

Examples

Real agents and patterns built on Deep Agents.

Featured

Deep Agents Code

A pre-built coding Deep Agent in your terminal — similar to Claude Code or Codex — powered by any LLM. Includes an interactive TUI, web search, remote sandboxes, persistent memory, custom skills, and human-in-the-loop approval.

curl -LsSf https://langch.in/dcode | bash

Source · Docs

Open SWE

An open-source, async coding agent for your org's internal workflows. Runs each task in an isolated cloud sandbox, integrates with Slack, Linear, and GitHub, and ships PRs end-to-end.

@open-swe fix this user-reported bug plz!

Repository · Blog post

In the wild

Production agents powered by the LangChain stack:

Project Description
LangSmith Fleet No-code platform for building AI agents from templates; connect your accounts and let the agent handle routine work
Chat LangChain Documentation assistant that answers questions about LangChain, LangGraph, and LangSmith (source)

All examples

Research

Example Description
Deep Research Multi-step web research with Tavily, parallel sub-agents, and strategic reflection
MCP Docs Agent Docs research agent using MCP tools over LangChain documentation

Coding

Example Description
Coding Agent Autonomous coding agent in a LangSmith sandbox
Nemotron Research Agent NVIDIA Nemotron Super for research + GPU-accelerated execution via RAPIDS

Content

Example Description
Content Builder Blog posts, LinkedIn posts, and tweets with memory (AGENTS.md), skills, and subagents
Text-to-SQL Natural language to SQL with planning and skill-based workflows on the Chinook demo database
LLM Wiki Script-first LLM wiki synced via langsmith hub init/pull/push

Deployable services

Example Description
Content Writer Content writer with per-user memory and Supabase auth
GTM Strategist GTM strategy agent coordinating sync and async subagents
Async Subagent Server Self-hosted Agent Protocol server exposing a researcher as an async subagent

Advanced patterns

Example Description
Ralph Loop Autonomous looping with fresh context each iteration, using the filesystem for persistence
RLM Agent create_rlm_agent helper: recursive REPL + PTC subagent chain for parallel fan-out
REPL Swarm TypeScript swarm skill dispatching subagents in parallel from QuickJS
Agents as Folders Download a zip, unzip, and run
Better Harness Eval-driven outer-loop optimization of a Deep Agents harness

Each example has its own README with setup instructions.

Contributing an example

See the Contributing Guide for general contribution guidelines.

When adding a new example:

  • Use uv for dependency management with a pyproject.toml and uv.lock (commit the lock file)
  • Pin to deepagents version — use a version range (e.g., >=0.3.5,<0.4.0) in dependencies
  • Include a README with clear setup and usage instructions
  • Add tests for reusable utilities or non-trivial helper logic
  • Keep it focused — each example should demonstrate one use-case or workflow
  • Follow the structure of existing examples (see deep_research/ or text-to-sql-agent/ as references)