ByteDance open-sources LangManus: not only a Manus replacement, but also a new AI automation engine

In the wave of AI automation, Manus, with its intelligent agent collaboration model, provides new ideas for the processing of complex tasks. Today, ByteDance's open source LangManus is trying to build a more open and powerful AI automation platform based on Manus.

The birth of LangManus is not only a reproduction of technology, but also an exploration of the future of AI automation. It is based on open source and driven by the community, aiming to combine the powerful capabilities of LLM with various practical tools to automate tasks and give back to the entire developer community.

The core competitiveness of LangManus lies in its sophisticated technical architecture and rich functional features.

LangManus is a multi-agent system. It adopts a layered architecture, with multiple agents working together to decompose and process complex tasks. Coordinators, planners, supervisors, researchers, programmers, browsers, and reporters perform their duties, just like an efficient team.

* *Coordinator*: The entry point of the task, responsible for receiving user instructions and assigning tasks. * *Planner*: When the task is complex, responsible for making a detailed execution plan. * *Supervisor*: The command center of the task, supervising the execution of the task and calling other agents. * *Researcher*: The explorer of information, responsible for web search and data mining. * *Programmer*: The creator of code, responsible for writing and executing Python code. * *Browser*: The operator of the web page, simulating the user's operation in the browser. * *Reporter*: The presenter of the results, responsible for collating the results of the task execution and generating reports.

• LLM deep integration:  LangManus is compatible with a variety of mainstream LLMs, such as Qwen, OpenAI, etc., and adopts a three-layer LLM system to meet the needs of different scenarios: reasoning LLM, basic LLM and visual language LLM.

• Tool ecosystem:  LangManus integrates a wealth of tools, including web search (Tavily API), neural search (Jina), Python REPL and code execution environment, browser control, etc., providing strong support for task execution.

• Workflow Management:  LangManus provides visual workflow diagrams and task allocation monitoring functions, allowing users to clearly understand the task execution process.

• API service:  API service based on FastAPI, supports streaming, and facilitates users to carry out secondary development and integration.

It is worth mentioning that LangManus also supports AWS Graviton and Docker, further improving its performance and ease of use.

Want to experience the powerful features of LangManus? Just a few simple steps:

• Install

pip install uv # Use uv package manager git clone https://github.com/byteplus/lang-manus.git cd lang-manusuv pip install -r requirements.txtplaywright install

• Installation and Startup

  Complete the configuration of the corresponding API key, model information, etc. in the .env file, and then you can start it directly using the following command!

    python webui.py

For more detailed steps, please refer to the documentation on github. 

LangManus has a wide range of application scenarios. It can play an important role in improving internal efficiency of enterprises and building personal efficiency tools. The core function is to complete task automation based on large models, that is, to automatically process multi-step tasks, such as calculating the influence index of the HuggingFace model, making tedious work simple and efficient. Typical scenarios include:

• Automatic weekly report generation: Say goodbye to manual data sorting and generate weekly reports with one click.

• Intelligent customer service system: 24/7 online, quickly responding to user questions.

• Enterprise-level private deployment solution: ensure data security and meet internal enterprise needs.

• Human Resources: Intelligent resume screening to improve recruitment efficiency.

• Real estate decision-making: data-driven analysis to assist investment decisions.

• Travel planning: Personalized itinerary recommendations, make travel plans with one click.

Although LangManus aims to be on par with Manus, open source gives it unique advantages. Open source means more possibilities, more innovation, and stronger community support. Although LangManus may still have room for improvement in some aspects, the open source power it represents will promote the rapid development of AI automation technology. And I believe that ByteDance will make further efforts in the short term.

LangManus, as ByteDance's open source AI automation framework, provides developers with a powerful tool that allows them to build various automation applications more conveniently. Its open source features and multi-agent collaborative architecture give it broad application prospects. With the continuous improvement of the community and the continuous development of technology, LangManus is expected to play an increasingly important role in the field of AI automation.