Local-Super-Agents is an open-source framework from Independent-AI-Labs for building, orchestrating, and deploying AI agents on local machines. It supports customizable agent policies, tool integrations, memory, and multi-agent collaboration, enabling developers to prototype autonomous workflows without relying on cloud services. With a Python SDK and modular architecture, it simplifies defining tasks, connecting APIs, and running agents under local resource constraints.
AI Platforms & Frameworks
Development Environment
Workflow Automation
#AI Agents
#local automation
#data privacy
#Python SDK
#multi-agent collaboration
#autonomous workflows
#sandbox environment
#cloud independence
#custom integrations
#agent orchestration
#lightweight setup
#memory management
#offline execution
#Plugin-System
#API tools
#data extraction
#Rapid Prototyping
#modular architecture
#code freedom
#Self-Hosted Solutions
...
Promote this Tool
Update this Tool
Local-Super-Agents
Local-Super-Agents is an open-source framework from Independent-AI-Labs for building, orchestrating, and deploying AI agents on local machines. It supports customizable agent policies, tool integrations, memory, and multi-agent collaboration, enabling developers to prototype autonomous workflows without relying on cloud services. With a Python SDK and modular architecture, it simplifies defining tasks, connecting APIs, and running agents under local resource constraints.
AI Platforms & Frameworks
Development Environment
Workflow Automation
#AI Agents
#local automation
#data privacy
#Python SDK
#multi-agent collaboration
#autonomous workflows
#sandbox environment
#cloud independence
#custom integrations
#agent orchestration
#lightweight setup
#memory management
#offline execution
#Plugin-System
#API tools
#data extraction
#Rapid Prototyping
#modular architecture
#code freedom
#Self-Hosted Solutions
...
Featured
What is Local-Super-Agents?
Local-Super-Agents provides a Python-based platform for creating autonomous AI agents that run entirely locally. The framework offers modular components including memory stores, toolkits for API integration, LLM adapters, and agent orchestration. Users can define custom task agents, chain actions, and simulate multi-agent collaboration within a sandboxed environment. It abstracts complex setup by offering CLI utilities, pre-configured templates, and extensible modules. Without cloud dependencies, developers maintain data privacy and resource control. Its plugin system supports integrating web scrapers, database connectors, and custom Python functions, empowering workflows such as autonomous research, data extraction, and local automation.
Who will use Local-Super-Agents?
- AI developers
- Software engineers
- Data scientists
- Research scientists
- Tech hobbyists
How to use the Local-Super-Agents?
- Step1: Clone the Local-Super-Agents repository from GitHub.
- Step2: Install dependencies via pip and set up a Python virtual environment.
- Step3: Configure your LLM API keys or local model adapters in the config file.
- Step4: Define agent tasks and behaviors using provided Python templates or YAML.
- Step5: Add tool integrations and memory modules as needed.
- Step6: Launch agents using the CLI run command.
- Step7: Monitor logs, adjust agent policies, and iterate on workflows.
Platform
- mac
- windows
- linux
Local-Super-Agents's Core Features & Benefits
The Core Features
- Local agent orchestration
- Memory management modules
- Custom tool integration
- Multi-agent collaboration
- Python SDK and CLI
- Plugin system for extensions
- Adapter support for local LLMs
The Benefits
- Full data privacy and control
- Offline and self-hosted execution
- Modular and extensible architecture
- No cloud vendor lock-in
- Rapid prototyping of autonomous workflows
- Lightweight local resource usage
Local-Super-Agents's Main Use Cases & Applications
- Autonomous web scraping and data collection
- Local data analysis and reporting workflows
- Automated research assistant for literature review
- Custom chatbots with external tool access
FAQs of Local-Super-Agents
Local-Super-Agents Company Information
- Independent-AI-Labs
Local-Super-Agents Reviews
5/5
Local-Super-Agents's Main Competitors and alternatives?
- Auto-GPT
- SuperAGI
- LangChain Agents
- Autonomous AI frameworks
You may also like:
AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
AI-driven chatbot for top OnlyFans creators.
Aixbt is a tokenized AI Agent optimizing revenue across applications.
theGist AI Workspace unifies work apps with AI for improved productivity.
Generate brand visuals and copy using AI to boost e-commerce sales.
GPTConsole is an AI agent designed for streamlined conversation and task automation.
GenSphere is an AI agent that automates data analysis and provides insights for informed decision-making.
Nullify automates the entire AppSec program for security teams using AI-driven solutions.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Langbase is an AI agent that generates and analyzes natural language content efficiently.
AiTerm: AI Terminal Assistant converting natural language to commands.
Generate intriguing facts effortlessly with our AI-powered tool.
Automate your job applications and find the perfect job with AI technology.
Intellika AI enables seamless automation of data analysis and reporting for businesses.
ScholarRoll helps students find and apply for scholarships easily.
OneReach AI simplifies interactions by automating customer engagement through intelligent messaging.
Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
Letta is an AI agent that handles email responses efficiently and accurately.
Windsurf AI Agent helps optimize windsurfing conditions and gear recommendations.
Cody AI helps developers write, review, and understand code efficiently.
A solution for building customizable AI agents with LangChain on AWS Bedrock, leveraging foundation models and custom tools.
scenario-go is a Go SDK for defining complex LLM-driven conversational workflows, managing prompts, context, and multi-step AI tasks.
A ROS-based framework for multi-robot collaboration enabling autonomous task allocation, planning, and coordinated mission execution in teams.
An open-source visual IDE enabling AI engineers to build, test, and deploy agentic workflows 10x faster.
LangGraph Learn offers an interactive GUI to design and execute graph-based AI agent workflows, visualizing language model chains.
AIDE provides AI-powered code generation, debugging, documentation and package management within an integrated web IDE.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
A methodology offering twelve best practices to design, configure, and deploy scalable, maintainable AI Agents.
A Python framework for constructing multi-step reasoning pipelines and agent-like workflows with large language models.
SARL is an agent-oriented programming language and runtime providing event-driven behaviors and environment simulation for multi-agent systems.
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
Provides a FastAPI backend for visual graph-based orchestration and execution of language model workflows in LangGraph GUI.
CodeBeaver is an AI agent that assists in coding and debugging tasks efficiently.
AveHR is an AI-driven human resources agent for streamlining HR tasks.
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
An autonomous AI agent that writes, tests, and refactors code projects using LLMs with iterative test-driven development.
LeanAgent is an open-source AI agent framework for building autonomous agents with LLM-driven planning, tool usage, and memory management.
Autogpt is a Rust library for building autonomous AI agents that interact with the OpenAI API to complete multi-step tasks
Angular is a web development framework for building modern, scalable applications.
Skywork AI is an innovative tool to enhance productivity using AI.
Project Mariner is an AI agent designed for efficient data extraction and analysis.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.
Microsoft Copilot enhances productivity by automating tasks across various applications.
Glean is an AI assistant platform for enterprise search and knowledge discovery.
Twilio AI Assistants enable automated customer interactions via voice and text messaging.
AI-driven customer service platform offering efficient communication solutions.
A framework that dynamically routes requests across multiple LLMs and uses GraphQL to handle composite prompts efficiently.
CACA Agent automates content generation and knowledge acquisition processes.
AI-driven platform for creating and deploying enterprise-grade AI systems and agents.
Qoder is an agentic coding platform for real software, Free to use the best model in preview.