Awesome Manus-Like Projects
Awesome Manus-Like Projects
A curated list of open-source projects related to Manus technology stack, covering multimodal models, workflow orchestration, multi-agent systems, and tool integration.
Technical Stack
Manus’ likely technical stack includes:
- Web automation: Playwright/Selenium
- AI orchestration: LangChain/AutoGen
- Backend: Python/FastAPI
- Frontend: React/Next.js
- Deployment: Docker/Kubernetes
- Vector DB: Pinecone/Weaviate
- LLMs: Claude/Qwen/VL-models
Contents
- Awesome Manus-Like Projects
Opensource Copy
OpenManus
Repository: OpenManus
OpenManus is an open-source implementation inspired by Manus, focusing on multimodal AI agents that can understand and interact with various types of content including text, images, and web interfaces.
Key Features:
- Multimodal understanding capabilities
- Web automation integration
- Agent orchestration framework
- Tool integration system
OWL
Repository: OWL
OWL (Omni Web Language) is a framework for building web-based AI agents that can navigate and interact with web interfaces using natural language instructions.
Key Features:
- Web navigation capabilities
- Natural language interface
- Cross-platform compatibility
- Extensible plugin system
LangManus
Repository: LangManus
LangManus provides a language-agnostic framework for building AI agents that can work across different programming languages and environments.
Key Features:
- Multi-language support
- Cross-platform deployment
- Unified API interface
- Extensible architecture
Multimodal Models
- LLaVA - Large Language and Vision Assistant
- CLIP - Contrastive Language-Image Pre-training
- DALL-E - Text-to-image generation
- GPT-4V - Vision-enabled GPT-4
- Flamingo - Few-shot learning with multimodal models
Workflow Orchestration
- LangChain - Framework for developing applications with LLMs
- AutoGen - Multi-agent conversation framework
- CrewAI - Framework for orchestrating role-playing autonomous AI agents
- Haystack - End-to-end NLP framework
- Semantic Kernel - SDK for integrating AI services
Multi-Agent Systems
- AutoGen - Microsoft’s multi-agent conversation framework
- CrewAI - Cutting-edge framework for orchestrating role-playing autonomous AI agents
- MetaGPT - Multi-agent framework that assigns different roles to GPTs
- ChatDev - Communicative agents for software development
- CAMEL - Communicative Agents for “Mind” Exploration
Tool Integration
- LangChain Tools - Extensive collection of tools for LangChain
- Zapier NLA - Natural Language Actions for Zapier
- OpenAI Function Calling - Native function calling capabilities
- Toolformer - Language models that can use tools
- ReAct - Reasoning and Acting with Language Models
Model Serving Frameworks
- vLLM - High-throughput and memory-efficient inference engine
- Text Generation Inference - Hugging Face’s inference server
- Ollama - Run large language models locally
- LocalAI - Drop-in replacement for OpenAI API
- FastChat - Open platform for training, serving, and evaluating LLMs
Agent Development Kits
- LangGraph - Library for building stateful, multi-actor applications with LLMs
- Autogen Studio - Low-code interface for building multi-agent workflows
- AgentGPT - Autonomous AI agents in your browser
- BabyAGI - AI-powered task management system
- SuperAGI - Infrastructure for building autonomous AI agents
Model Evaluation & Benchmarking
- OpenAI Evals - Framework for evaluating LLMs
- LangSmith - Platform for debugging, testing, and monitoring LLM applications
- Weights & Biases - MLOps platform for experiment tracking
- MLflow - Open source platform for ML lifecycle management
- Evidently - ML model monitoring and testing
Model Training & Fine-tuning
- Axolotl - Tool for fine-tuning various AI models
- Unsloth - 2x faster LLM fine-tuning
- LoRA - Low-Rank Adaptation for fine-tuning
- QLoRA - Quantized LoRA for efficient fine-tuning
- DeepSpeed - Deep learning optimization library
Specialized Agent Applications
- Code Interpreter - Execute code in natural language
- WebGPT - Web-browsing assistant
- ToolLLM - Framework for tool-using LLMs
- Gorilla - LLM connected with massive APIs
- TaskMatrix.AI - Connecting foundation models with millions of APIs
MISC
- Hugging Face Transformers - State-of-the-art ML models
- OpenAI Gym - Toolkit for developing RL algorithms
- Stable Baselines3 - Reliable RL implementations
- Ray - Distributed computing framework
- Celery - Distributed task queue
Contributing
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
License
This project is licensed under the MIT License - see the LICENSE file for details.