Waymark / Routes / github.com/browser-use/browser-use Parallelise multiple Browser Use agents with asyncio.gather for concurrent web tasks
domain: github.com/browser-use/browser-use · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed
Verified steps Create a shared LLM instance: llm = ChatAnthropic(model='claude-haiku-4-5') to share across agents Define a list of task strings, one per agent Instantiate each Agent with its own task but the same llm: agents = [Agent(task=t, llm=llm) for t in tasks] Run all agents concurrently: results = await asyncio.gather(*[a.run(max_steps=15) for a in agents]) Collect final results: outputs = [r.final_result() for r in results] Ensure each Agent gets its own browser context (the default) to maintain session isolation Known gotchas Launching many Playwright browsers simultaneously is memory-intensive; limit concurrency with asyncio.Semaphore to avoid OOM on the host Each agent spawns a separate Chromium process by default; on CI runners with restricted process counts, this can hit OS limits LLM rate limits apply per-key; high concurrency will hit tier rate limits quickly — use multiple API keys or a rate-limiting wrapper if needed
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