OWL

Multi-agent framework for real-world task automation, built on CAMEL-AI and scored on the GAIA benchmark

IndexedLicense unknown★ 20,160

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About

OWL is a multi-agent collaboration project from CAMEL-AI that automates real-world tasks through agents working together. It is built on the CAMEL-AI framework and reports a 69.09 average score on the GAIA benchmark, ranked first among open-source frameworks. It installs with uv, pip, conda or Docker, uses MCP toolkits such as Playwright, and includes a web interface.

Use cases: browser-automation, other, agent-orchestration

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Fact sheet

Jobs: browser automation, otherREADME
Where you use it: WebREADME
Hosting: You run itREADME
Interfaces: mcpREADME

Facts extracted by Claude Sonnet 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Built on

Frameworks named in its dependency files.

0.679score
CAMEL
CAMEL-AI
Open-source Python framework for multi-agent systems: agent societies, memory, RAG, code interpreters, synthetic data and large-scale simulation.
HarnessAFreshness: A★ 18K↓ 20.1K/wk

Signals

Stars: 20,160
Forks: 2,295
Open issues: 89
Last commit: Oct 19, 2026 (11 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: License unknown
Repository: github.com/camel-ai/owl
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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Cite this page

OWL. Agent Mart. https://agentmart.dev/agents/owl (last updated 2026-10-24)