What is BrainSoup?
BrainSoup is a Windows desktop platform for creating AI agents that handle tasks and automate processes through natural-language conversations. Individuals and businesses can shape agents around particular roles, give them access to selected data and tools, and have specialized agents work together on larger assignments. It supports online and local language models, with options for document-based knowledge, scripts and other software interactions, and image and audio inputs.
BrainSoup Features:
Custom Agents: Create agents for specific needs, give them distinct skills and data access, and direct their work through natural-language conversations.
Multi-Agent Workflows: Bring specialized agents together in goal-oriented chat rooms so they can coordinate on assignments that involve multiple kinds of work.
Model Options: Use models including ChatGPT, Mistral AI and local language models, with local model support through tools such as Ollama.
Document Knowledge: Add documents as guidance for agents, while conversations can also expand an agent's knowledge base over time.
Built-In Tools: Agents can browse the web, send email, make API calls, run scripts, calculate, and generate or edit images and videos.
Custom Tools: Connect agents to programs, commands or scripts on a computer, using text files and scripts in any language.
Multimodal Input: Agents can process image and audio files as well as text, including through collaboration between different models.
BrainSoup Benefits:
More Relevant Responses: Agents that draw on selected documents and past conversations can give answers shaped around a user's own information and context.
Less Repetitive Work: Delegating routine tasks and automations to agents can leave users with more time for work that requires their attention.
Clearer Task Ownership: Defining each agent's skills and data access makes it easier to assign work and control what each part of a team can use.
More Private Workflows: Local databases and local language models let users keep data on their device when they choose that setup.
Lower Setup Barriers: Natural-language instructions and low-code connections offer a way to automate tasks without building a complex API integration.
Use Cases:
Document-Based Research: Create an agent that uses a collection of business documents to answer questions or provide guidance grounded in that material.
Routine Task Automation: Set up an agent to carry out recurring work that involves browsing, calculations, scripts, email or API calls.
Coordinated Projects: Assign different roles to specialized agents and have them collaborate in a chat room on a complex project.
Internal Expert Assistant: Build an agent to help colleagues with a focused topic, using selected knowledge and access to relevant tools.
Image And Audio Work: Use agents to process image or audio files as part of a task that also involves text or other models.