A small collection of runnable, agent-driven Python projects. Each folder contains a focused workflow with its own entrypoint, data, and logs.
Note: the examples given are based on droidrun version 0.4.0+. To see examples of older version see the
legacy/folder.
-
LinkedInJobsScraper
- Agentic workflow that searches LinkedIn for roles, evaluates matches, and prepares tailored applications.
- Stores results in
jobs/, uses sample configs likecandidate_data.json, and records run histories undertrajectories/.
-
LinkedInLeads
- End-to-end lead discovery and enrichment for LinkedIn companies and roles.
- Scrapes company pages, generates role hypotheses, saves outputs in
data/companies/, and logs runs intrajectories/.
-
TwitterPost
- Finds trending topics, drafts posts, and generates images to publish on X/Twitter.
- Includes agents for trend mining, content creation, image generation, and posting, with example assets under
images/and run logs intrajectories/.
-
play2048
- Automated agent that plays the 2048 game on play2048.co, attempting to reach the 2048 tile using strategic reasoning and decision-making.
To learn more about Droidrun, take a look at the following resources:
- Droidrun Documentation - learn about Droidrun features and references
- Benchmark - Our latest benchmark scores.
You can check out the Droidrun GitHub repository - your feedback and contributions are welcome!
We welcome fixes, docs, and new example projects.
- See the full guidelines in
contribution.md. - Keep examples self-contained with
main.py,requirements.txt, and anagents/folder. - Include a short README in any new example and sample data/assets if needed.
- Include a demo video which describes what you created.