examples

Examples

Agents, patterns, and applications you can build with Deep Agents.

Example	Description
deep_research	Multi-step web research agent using Tavily for URL discovery, parallel sub-agents, and strategic reflection
content-builder-agent	Content writing agent that demonstrates memory (AGENTS.md), skills, and subagents for blog posts, LinkedIn posts, and tweets with generated images
text-to-sql-agent	Natural language to SQL agent with planning, skill-based workflows, and the Chinook demo database
deploy-coding-agent	deepagents deploy example: autonomous coding agent with a LangSmith sandbox for code execution
deploy-content-writer	deepagents deploy example: content writing agent with skills for blog posts and social media
deploy-mcp-docs-agent	deepagents deploy example: docs research agent that uses MCP tools to search LangChain documentation
async-subagent-server	Self-hosted Agent Protocol server exposing a Deep Agents researcher as an async subagent, with a supervisor REPL
nvidia_deep_agent	Multi-model agent with NVIDIA Nemotron Super for research and GPU-accelerated code execution via RAPIDS
ralph_mode	Autonomous looping pattern that runs with fresh context each iteration, using the filesystem for persistence
downloading_agents	Shows how agents are just folders—download a zip, unzip, and run
better-harness	Eval-driven outer-loop optimization of a Deep Agents harness using the better-harness research artifact

Each example has its own README with setup instructions.

Contributing an Example

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)