11111111111

Name: 11111111111
Author: mannaandpoem

@mannaandpoem

Repository

About 11111111111

No overview available yet

#openmanus #ai-agent #open-source

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "OpenManus": {
      "command": "uv",
      "args": [
        "venv",
        "--python",
        "3.12"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is 11111111111?

11111111111 is an open-source framework for building general AI agents, developed by contributors from MetaGPT. It allows users to run agent tasks via terminal without needing an invite code, supporting multiple LLM backends.

How to use 11111111111?

Install via conda or the recommended uv tool, configure API keys in config/config.toml, and run the agent with python main.py. Additional commands include python run_mcp.py for the MCP tool version and python run_flow.py for the unstable multi-agent version.

Key features of 11111111111

Open-source, no invite code required.
Supports multiple LLMs (e.g., GPT-4o) with vision model.
Optional browser automation via Playwright.
MCP tool version and multi-agent flow version.
Simple terminal-based interaction.

Use cases of 11111111111

Quickly prototyping AI agent ideas without waiting for invite codes.
Automating browser tasks using Playwright and LLM vision.
Running multi-agent workflows with the unstable flow version.
Integrating with MCP tools for extended functionality.

FAQ from 11111111111

What LLMs does 11111111111 support?

The configuration is flexible; the example shows GPT-4o with OpenAI API, but you can change base_url and api_key to use any compatible LLM provider.

How do I configure 11111111111?

Copy config/config.example.toml to config/config.toml and replace the placeholder API keys with your own keys. You can also customize model, temperature, and max tokens.

Does 11111111111 require a GPU?

No. It uses remote LLM APIs configured in config.toml, so no local GPU is required for inference.

Is 11111111111 stable for production?

The README describes it as a "simple implementation" and the multi-agent version (run_flow.py) is explicitly labeled "unstable". It is best suited for experimentation and prototyping.