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Explore and compare flight options with AI agents
Give an AI your trip plans. It searches Google Flights across airports, dates, and trip lengths, compares the best options, and checks current prices before you choose.
Copy this prompt into Codex or Claude Code and replace the trip details:
Install Agentic Flights with:
`python -m pip install -U agentic-flights`
Install its reusable skill for the AI app you are using:
- Codex: `agentic-flights init-skill --scope user --harness codex`
- Claude Code: `agentic-flights init-skill --scope user --harness claude`
Use the installed Agentic Flights skill to find the best flights for my trip.
Explore flexible dates, nearby airports, and trip lengths when they
could improve the result. Include airports that are realistically reachable by train
or bus when the full door-to-door saving justifies the extra time. Show options that
balance total price, travel time, and comfort. Check the current total price and baggage
rules for the best options. Briefly mention close alternatives instead of hiding them.
Tell me if any part of the search was incomplete. Keep internal run IDs and tool
diagnostics out of the answer. Do not book anything.
Trip: [origin, destination, dates or flexibility, trip length, travelers,
currency, baggage, stop limits, and timing or airline preferences].
Agentic Flights requires Python 3.11 or newer. Discovery uses direct HTTP requests. Final-price verification uses a tool-managed browser. Install Chromium for it:
python -m pip install -U agentic-flights
python -m playwright install chromium
Install the skill in the current project for both Codex and Claude Code:
agentic-flights init-skill
This adds the skill to .agents/skills for Codex and .claude/skills for Claude
Code. Add --scope user to use it in every project. It will not replace a changed
skill unless you pass --force.
The skill is the easiest way to start. Broad searches use a fast direct request; final-price and baggage checks use a background browser. The package also has a Python API, a command-line interface, and an optional local MCP connection for AI apps:
python -m pip install -U "agentic-flights[mcp]"
agentic-flights-mcp
Large CLI searches return resumable work chunks. Progress and checkpoint run IDs
appear on stderr; the final JSON includes batch_progress and a resume_command.
Completed queries survive interruption. Run agentic-flights resume RUN_ID to continue.
These handles are for agents and diagnostics; they should not appear in a travel
recommendation unless the user asks for technical details.
Agents can pass an exact search directly with AgentAPI.start({...}); no temporary
request file is needed. Discovery stays HTTP-only. A headless browser starts only
when final prices or baggage are verified.
Run agentic-flights guide for the workflow or agentic-flights guide <operation>
for one operation. Saved searches stay on your computer and expire after seven days
without use by default. The project does not run a hosted search service.
This unofficial project is not affiliated with Google. Google Flights has no supported public search API, so page changes can break the tool. Results show what was visible at search time; they are not reservations or price guarantees. The tool cannot prove that Google showed every fare. Confirm the price, baggage, and seats with the seller. The tool does not book travel.
Agent guide · Technical reference · Strategy playbook · PyPI · Contributing · Security · Third-party notices
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.7.0 | 10 Sept 2026 | 9 |
This describes our collected data; it is not a security assessment.
Shared repository data · GitHub
Observed since 20 Oct, 22:16 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
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