OWL
Optimised Workforce Learning multi-agent system ranked #1 open-source on the GAIA benchmark, orchestrating specialised sub-agents with 20+ real-world toolkits.
Skills
Web Research Agent
Deploy a browser-equipped sub-agent to search, navigate, and extract information from the web as part of a larger multi-agent workflow.
Sandboxed Code Execution
Run AI-generated Python code in an isolated execution environment and feed results back into the orchestrating agent loop.
Workforce Dispatch
Break complex tasks into specialised sub-tasks and assign each to a dedicated agent role with scoped tools and termination conditions.
Related Agents
Crawl4AI
Crawls and scrapes web pages into clean Markdown for RAG pipelines, with CSS, XPath, and LLM-driven structured extracti…
ScrapeGraphAI
Scrapes websites from a natural-language description of the data you want, building the extraction graph automatically…
PageIndex
Indexes long documents as a reasoning-based hierarchical tree so agents retrieve by navigating structure instead of emb…
LightRAG
Builds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served throug…