Collaborative expert GPT agents solving complex tasks together, with memory.
Multi‑GPT enables specialist GPT agents to cooperate on tasks requiring diverse skills. Memory management allows agents to retain context across sessions. Internet access provides real-time information retrieval. File handling and summarization help manage complex datasets efficiently.
Collaborative GPT Agents: Multiple expert agents with specialized roles.
Memory Management: Short-term and long-term memory support.
Internet Access: Agents can retrieve real-time information.
File Storage and Summarization: Store and summarize files automatically.
GPT‑4 & GPT‑3.5 Models: Supports multiple GPT models.
Customizable Agent Configurations: Tailor agent behavior for tasks.
Flexible Memory Backends: Works with Redis, Pinecone, Milvus, Weaviate.
Task Delegation: Assign subtasks to specialized agents.
Research & Analysis Tools: Deep problem-solving support.
Multi-Agent Communication: Dynamic context sharing between agents.
Complex Research Projects: Process large research datasets collaboratively.
Problem Solving Across Domains: Agents with different expertise work together.
Automated Workflow Management: Tasks delegated autonomously between agents.
Insight Generation: Summarize and extract insights from data.
Tool Integration: Use external APIs and knowledge sources.
Developer Prototyping: Test combinations of agent behaviors.
Educational Use: Teach and explore multi-agent systems.
Automation of Complex Tasks: Handle multi-step processes efficiently.
Collaborative Problem Decomposition: Break large tasks into smaller agent roles.
Advanced Experimentation: Test research hypotheses with multiple agents.
Open-Source / Free: Full community access.
Self-Hosted Options: Deploy on personal infrastructure.
Well-documented open-source project.
Active community feedback and updates.
Supports major memory backends (Redis, Pinecone, Milvus, Weaviate).
Regular updates and improvements.
Transparent technical stack.
Used in research and experiments.
Supports GPT-4 and GPT-3.5 models.
Flexible deployment options.
Reliable multi-agent collaboration.
Trusted by developers and researchers.
What is Multi‑GPT?
A collaborative AI system with specialized GPT agents.
Is Multi‑GPT open source?
Yes, it is fully open-source.
Which models does it use?
Supports GPT‑4 and GPT‑3.5.
Does it support memory?
Yes, both short-term and long-term memory.
Can it access the internet?
Yes, agents can retrieve real-time information.
Does it handle file storage and summarization?
Yes, files can be stored and summarized.
What memory backends are supported?
Redis, Pinecone, Milvus, Weaviate.
Can it be self-hosted?
Yes, users can deploy it locally.
Who is it suitable for?
Researchers, developers, and R&D teams.
What use cases is it good for?
Complex research, multi-domain problem solving, and workflow automation.
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