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camel-ai
owl
Python2025–2025
camel-ai / owl

owl

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

4Distinct people
9Mentions
0Explicit recommenders
20.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week9 dated mentions

Observed mentions: 2025-03-11 12:14:13 UTC to 2025-07-30 16:25:13 UTC. Weeks start Monday, UTC.

02462025-03-10 00:00:00 UTC to 2025-03-17 00:00:00 UTC (exclusive): 7 mentions; 4 submissions, 3 commentsMar 102025-03-17 00:00:00 UTC to 2025-03-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-24 00:00:00 UTC to 2025-03-31 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-03-31 00:00:00 UTC to 2025-04-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-07 00:00:00 UTC to 2025-04-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-14 00:00:00 UTC to 2025-04-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-21 00:00:00 UTC to 2025-04-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-28 00:00:00 UTC to 2025-05-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-05 00:00:00 UTC to 2025-05-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-12 00:00:00 UTC to 2025-05-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-19 00:00:00 UTC to 2025-05-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMay 192025-05-26 00:00:00 UTC to 2025-06-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-02 00:00:00 UTC to 2025-06-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-09 00:00:00 UTC to 2025-06-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-16 00:00:00 UTC to 2025-06-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-23 00:00:00 UTC to 2025-06-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-30 00:00:00 UTC to 2025-07-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-07 00:00:00 UTC to 2025-07-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-14 00:00:00 UTC to 2025-07-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-21 00:00:00 UTC to 2025-07-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-28 00:00:00 UTC to 2025-08-04 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJul 28

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Mar 102025-03-10 00:00:00 UTC2025-03-17 00:00:00 UTC743
Mar 172025-03-17 00:00:00 UTC2025-03-24 00:00:00 UTC000
Mar 242025-03-24 00:00:00 UTC2025-03-31 00:00:00 UTC110
Mar 312025-03-31 00:00:00 UTC2025-04-07 00:00:00 UTC000
Apr 72025-04-07 00:00:00 UTC2025-04-14 00:00:00 UTC000
Apr 142025-04-14 00:00:00 UTC2025-04-21 00:00:00 UTC000
Apr 212025-04-21 00:00:00 UTC2025-04-28 00:00:00 UTC000
Apr 282025-04-28 00:00:00 UTC2025-05-05 00:00:00 UTC000
May 52025-05-05 00:00:00 UTC2025-05-12 00:00:00 UTC000
May 122025-05-12 00:00:00 UTC2025-05-19 00:00:00 UTC000
May 192025-05-19 00:00:00 UTC2025-05-26 00:00:00 UTC000
May 262025-05-26 00:00:00 UTC2025-06-02 00:00:00 UTC000
Jun 22025-06-02 00:00:00 UTC2025-06-09 00:00:00 UTC000
Jun 92025-06-09 00:00:00 UTC2025-06-16 00:00:00 UTC000
Jun 162025-06-16 00:00:00 UTC2025-06-23 00:00:00 UTC000
Jun 232025-06-23 00:00:00 UTC2025-06-30 00:00:00 UTC000
Jun 302025-06-30 00:00:00 UTC2025-07-07 00:00:00 UTC000
Jul 72025-07-07 00:00:00 UTC2025-07-14 00:00:00 UTC000
Jul 142025-07-14 00:00:00 UTC2025-07-21 00:00:00 UTC000
Jul 212025-07-21 00:00:00 UTC2025-07-28 00:00:00 UTC000
Jul 282025-07-28 00:00:00 UTC2025-08-04 00:00:00 UTC101

What Hacker News says

9 sources

Show HN: Owl and MCP Integration – Plug-and-play agents with external tools

We integrated Model Context Protocol (MCP) into OWL – CAMEL-AI’s open-source multi-agent framework. With MCP, OWL agents can now interact with external tools like browsers, file systems, or research plugins — securely and in a standardized way. Why this is useful: - Modular: Agents connect with tools via config (no hardcoded logic). - Local + cloud-ready (Ollama, Claude, GPT-4o). - Works with standardized servers like @wonderwhy-er’s desktop-commander, Playwright, Fetch, and more. Blog: https://www.camel-ai.org/blogs/owl-mcp-toolkit-practice GitHub: https://github.com/camel-ai/owl/blob/main/examples/run_mcp.p... Happy to answer questions or provide technical help!
3 points · Open discussion
Manus sparked excitement, but the open-source community moved fast. In just a few hours, CAMEL-AI’s OWL was released—fully open-source, with no invites or restrictions. It’s incredible to see how quickly the community comes together to build accessible alternatives. OWL enables multi-agent collaboration for research, browsing, document parsing, and code execution. Supports GPT-4o, Claude 3.5, DeepSeek, Qwen Runs locally with Ollama, vLLM, and SGLang Currently ranked #1 on the GAIA benchmark for open-source agent frameworks. Check it out → https://github.com/camel-ai/owl
In Owl: An Open-Source Multi-Agent AI Framework (OS Alternative to Manus)
Excited to share our new project OWL - an open-source alternative to Manus AI with 11K+ GitHub stars and climbing… OWL: https://github.com/camel-ai/owl Everyone’s talking about Manus AI (an agent that can research, browse, code, and automate tasks.) But there’s a catch: → All the above agents cost $20 to $200 a month → Manus AI is available via an invite code only OWL by CAMEL-AI is an opensource project that’s breaking records: 11K+ GitHub stars in 5 days Ranks #1 on the GAIA Benchmark among open-source projects with a 58.18 avg score! Specialized Multi-Agent Collaboration ↳ AI user agents break down complex tasks ↳ Assistants agents create detailed execution strategies and interact with tools and tool agents ↳ Tools / Tool agents interface with external services and APIs Real-World Capabilities ↳ Autonomous research, codin
Read the rest
g, and web browsing ↳ Runs locally on your machine for privacy ↳ Supports top LLMs (easily integrated with GPT-4O, Claude 3.7, Gemini, Mistral, DeepSeek , Qwen, Ollama, Groq more) ↳ Automates complex workflows, from research to execution I Simple Setup ↳ Fast installs via conda or uv ↳ Docker support for easy deployment ↳ Straightforward config with TOML files No restrictions. No invites. No paywalls. Just powerful multi-agent collaboration. AI autonomy shouldn’t be locked behind paywalls.
In Owl – an open-source alternative to Manus AI with 11K+ stars, Top on GAIA OSS

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