OpenDemon

OpenDemon / OpenManus-Max

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OpenManus-Max: A fully refactored OpenManus with Manus-level capabilities. DAG Scheduler, Hierarchical Memory, 20+ Tools, Multi-Level Permissions & Trust Attenuation.

48
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89% credibility
Found Mar 19, 2026 at 48 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

OpenManus-Max is an open-source framework for creating autonomous AI agents that execute complex tasks using built-in tools, planning, memory systems, and configurable permission levels.

How It Works

1
🔍 Discover the AI helper

You find OpenManus-Max online, a smart assistant that handles tough tasks like research, coding, and organizing for you.

2
📥 Bring it home

You download it to your computer and get it ready in a few simple steps.

3
🔗 Connect the brain

You link it to an AI service so it can think and understand your requests.

4
🛡️ Set safety rules

You pick a safety level, from full freedom to super protected mode.

5
💬 Give a command

You tell it your goal, like 'research trends and make a report'.

6
⚡ Watch it shine

It plans steps, gathers info, runs code, and works step by step before your eyes.

🎉 Task mastered

Everything is done perfectly, safely, and you get amazing results every time.

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Star Growth

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AI-Generated Review

What is OpenManus-Max?

OpenManus-Max is a Python-based AI agent framework, fully refactored from OpenManus to deliver Manus-level capabilities in a local, autonomous assistant. It lets you run agents that handle complex tasks via a DAG scheduler for parallel workflows, hierarchical memory for context retention, and 20+ built-in tools like web search, browser automation, Python/shell execution, vision analysis, and data visualization. With multi-level permissions and trust attenuation, it solves the problem of safely unleashing powerful agents on your machine without risking system damage.

Why is it gaining traction?

It stands out with granular security—modes from full YOLO access to Docker sandboxing—and a skill system that auto-attenuates risky tools for untrusted extensions, preventing prompt injection attacks. Developers hook into DAG planning for openmanus max step breakdowns of big goals, plus MCP/A2A protocols for agent chaining and routine daemons for scheduled automation. The CLI like `openmanus-max --dag "research and PPT"` makes prototyping agentic apps dead simple.

Who should use this?

AI engineers building multi-tool agents for research, coding automation, or desktop RPA will love the 20+ tools and hierarchical memory for long sessions. DevOps folks needing safe shell/Python execution in sandboxes, or indie hackers scripting web crawls and viz without cloud dependency. Skip if you want production-scale; it's for local experimentation.

Verdict

Try it for agent prototyping—solid Python CLI and security features punch above its 48 stars. Credibility score of 0.9% flags early maturity (light tests, multi-lang READMEs), but MIT license and active refactors show promise; install with uv for quick wins.

(198 words)

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