AI tool wars: OpenManus is coming only one day after Manus was released
OpenManus, a new competitor in the AI field, breaks the invitation code restriction and brings a new open source option for AI agents.
Core content:
1. OpenManus's AI agent features and advantages compared to Manus AI
2. MetaGPT team rapid prototyping development background and team introduction
3. OpenManus's core components and deployment practice guide
introduce
The core goal of OpenManus is to provide an AI agent that does not require an invitation code, allowing users to perform various tasks through large language models (LLMs) such as GPT-4o. The project description states that it can "implement any idea", which implies that it is a general AI agent that can autonomously plan and execute tasks. In contrast, the original Manus AI seems to require an invitation code, and the open source nature of OpenManus makes it more accessible.
One particularly noteworthy detail is that the project was mentioned on Hacker News on March 6, 2025, described as an open source alternative to Manus AI, showing its initial attention in the AI community.
Development Background
OpenManus was developed by the MetaGPT team in an impressive 3 hours. This demonstrates the team's ability to rapidly prototype, especially in the field of AI agents. The development team includes @mannaandpoem , @XiangJinyu , @MoshiQAQ , and @didiforgithub , and they welcome suggestions, contributions, and feedback from the community.
OpenManus Demo
Core Components
LLM integration layer : modular design supports multi-model access
# Model configuration example (config.toml)
[llm]
provider = "openai" # supports azure/anthropic, etc.
model = "gpt-4o" # default model version
api_key = "sk-****" # API key storage
base_url = "https://api.openai.com/v1" Task execution engineWorkflow Scheduling System Based on DAG Support asynchronous task queue processing Error retry mechanism (maximum 3 times)
Deployment Practice
Environmental requirements
+ New dependency management optimization:
requirements.txt now includes version locking
pip install -r requirements.txt --no-cache-dir
Configuration Guide
git clone https://github.com/mannaandpoem/openmanus && cd openmanusInitial configuration# config.toml Key Parameters
[logging]
level = "INFO" # DEBUG/INFO/WARNING
rotate_size = 100MB
[cache]
enable = true
ttl = 3600 # secondsTask processing capability
^[Test environment: AWS EC2 g5.xlarge, 2024-06 benchmark data]
Safety regulations
API keys are stored encrypted using AES-256-GCM Input and output content is sanitized Follow OWASP API security standards
Extension Development
Plugin interface
class BasePlugin:
@abstractmethod
def preprocess(self, input: dict) -> dict:
"""Input preprocessing"""
@abstractmethod
def postprocess(self, output: dict) -> dict:
"""Output post-processing"""
@abstractmethod
def preprocess(self, input: dict) -> dict:
"""Input preprocessing"""
@abstractmethod
def postprocess(self, output: dict) -> dict:
"""Output post-processing"""
