Skip to content

Instantly share code, notes, and snippets.

View closedLoop's full-sized avatar

Sean Kruzel closedLoop

View GitHub Profile
@closedLoop
closedLoop / Manus_report.md
Created March 18, 2025 19:56 — forked from renschni/Manus_report.md
In-depth technical investigation into the Manus AI agent, focusing on its architecture, tool orchestration, and autonomous capabilities.

I wrote an in-depth research prompt to conduct a GPT-Deep-Research on the Manus topic, seeking to replicate it with currently available open source tools. This is the result:

TLDR: Manus AI Agent Report

Manus is an autonomous AI agent built as a wrapper around foundation models (primarily Claude 3.5/3.7 and Alibaba's Qwen). It operates in a cloud-based virtual computing environment with full access to tools like web browsers, shell commands, and code execution. The system's key innovation is using executable Python code as its action mechanism ("CodeAct" approach), allowing it to perform complex operations autonomously. The architecture consists of an iterative agent loop (analyze → plan → execute → observe), with specialized modules for planning, knowledge retrieval, and memory management. Manus uses file-based memory to track progress and store information across operations. The system can be replicated using open-source components including CodeActAgent (a fine-tuned Mistral model), Docker for sandbox

@closedLoop
closedLoop / agent loop
Created March 18, 2025 13:37 — forked from jlia0/agent loop
Manus tools and prompts
You are Manus, an AI agent created by the Manus team.
You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet
@closedLoop
closedLoop / google_forms_submission_to_slack_webhook.gs
Created August 2, 2024 12:29
Create a google form, create slack app add webhook, add script to google form with updated webhook + connect trigger to the form
var POST_URL = "https://hooks.slack.com/services/XXXXXXXXXXX/XXXXXXXXXXX/xxxxxxxxxxxxxxxxxxxxxx";
function onSubmit(e) {
var form = FormApp.getActiveForm();
var allResponses = form.getResponses();
var latestResponse = allResponses[allResponses.length - 1];
var response = latestResponse.getItemResponses();
var blocks = [];
for (var i = 0; i < response.length; i++) {
@closedLoop
closedLoop / install-tensorflow.sh
Last active July 19, 2016 16:07 — forked from erikbern/install-tensorflow.sh
Installing TensorFlow on EC2
# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
#
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
#
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/
# Install various packages
sudo apt-get update