Multiple AI Models, Personalized Special Agents, One Collaborative Workflow
Connect leading AI models, create your own personalized special agents, and bring them together in collaborative workflows for research, problem-solving, content creation, and complex tasks.
The longer you use it, the more it becomes yours.
Your memories. Your skills. Your models. Your machines. Your data.
Bring Your AI Tools Into
One Collaborative Workflow
SIMI brings leading AI models and your personalized special agents together in one collaborative workflow. Choose the right AI for each task, have agents analyze problems, share insights, continue conversations from other agents, or merge conversations to build on existing work. Create groups where agents discuss, challenge, and refine each other's ideas toward a common goal, or let them communicate autonomously to find solutions to time-sensitive tasks. You can even have one agent's response scrutinized, improved, and refined by others to achieve better results.
Whether you're a creator, entrepreneur, researcher, developer, marketer, or business team, SIMI helps you save time, reduce switching between apps, and get better results from AI.
Why People Choose SIMI
- Connect Multiple AI Models
Bring leading AI models from different providers into one place and choose the right intelligence for each task. - Create Personalized Specialized Agents
Build agents around specific roles, tasks, instructions, and AI models to suit the way you work. - Collaborate Across Agents
Let agents share insights, continue each other's conversations, challenge ideas, and build on previous work. - Merge and Continue Conversations
Combine related conversations and give agents new instructions to continue the work from where it left off. - Create Agent Groups
Bring multiple agents together to discuss a problem, exchange perspectives, and work toward a common goal. - Improve Results Through AI Review
Have one agent's response analyzed, scrutinized, refined, or improved by other agents for stronger results. - Run Autonomous AI Searches
Let individual agents or groups monitor the web and search for time-sensitive information or solutions based on your objectives. - Manage Your AI Work in One Place
Organize conversations, agents, memory, workflows, usage, and AI activity without constantly switching between different tools.
AI models & providers Simi supports
Stop juggling AI tools. Start building with AI.
SIMI turns scattered conversations into a smart, collaborative, and productivity-focused AI environment designed for the way modern professionals work.
Functionalities of Simi
SIMI allows you to continue conversations with your AI agents while giving them access to the context and knowledge they have previously stored, and lets related agents discuss a topic with one another to reach a shared goal.
Learn More about Agent Memory & DiscussionBring multiple AI agents into a single conversation, assign them a shared task, and let them compare responses, discuss, and collaborate toward one objective.
Discover More about Group ChatsAssign one or multiple AI agents to independently search the internet for information based on a specific request, so you can monitor topics and stay updated without manual research.
Explore More about Autonomous SearchA closer look at every part of Simi
A real-time overview of your workspace — agents, conversations, memories, and connected providers.
Read more about DashboardSidebar, conversation history, sharing, locking, and exporting your conversations.
Discover more about ChatsSee how Simi
stacks up
A full-spectrum look at how Simi's multi-agent orchestration compares to GPT-5, Gemini, Claude, Grok, Llama, and GLM — where each model wins, and how they perform together inside one workspace.
See the full Simi vs. GPT-5, Gemini & Claude comparisonSearch finds. AI explains. Simi orchestrates. See how Simi's multi-agent workspace complements Google, Bing Copilot, Perplexity, Brave, DuckDuckGo, and You.com — from discovery through comparison, verification, and structured output.
Explore the Simi vs. Search Engines comparisonSocial media distributes attention. Simi helps turn information and AI into organized work. See how Simi complements YouTube, TikTok, X, Facebook, Reddit, LinkedIn, Instagram, Threads, and Pinterest.
View Details on Simi vs. Social MediaGuides & resources
Official links to leading AI providers — OpenAI, Gemini, Claude, DeepSeek, Mistral, Groq, xAI, and Cohere — plus how to bring your keys into Simi and build a true multi-agent workspace.
Find Out Where to Get AI API KeysWhere to find serious AI research, and seven papers on multi-agent debate, reasoning, evaluation, and collaboration — the ideas behind what SIMI lets you experiment with.
Discover 7 AI Research Papers to KnowMultiple agents don't automatically mean better results. A look at what the research actually shows about collaboration, debate, diversity, cost, and human oversight — and how SIMI's Group Chat and Discuss features put it into practice.
Dive Deeper into Multi-Agent AI ResearchDownload Simi
Available on desktop. Pick your platform and you're ready to go.
What people say
Common questions
What is SIMI?
SIMI is a multi-AI workspace designed to bring multiple artificial intelligence models and AI agents into one organized environment. Instead of having to open separate applications or browser tabs for different AI providers, SIMI allows users to connect different models, create agents around those models, organize conversations, and use multiple agents as part of a single workflow.
The purpose of SIMI is not simply to provide another chatbot. It is designed to help users manage and coordinate AI more effectively. A user can create different agents for different purposes, assign them different AI models, communicate with them independently, or bring several agents together for a group discussion.
SIMI also provides tools for organizing conversations, combining related chats, exporting conversations, managing memory, monitoring AI activity, and organizing agents into containers. This makes it useful for people who use AI extensively for research, analysis, content creation, business work, development, planning, and other knowledge-intensive tasks.
In simple terms, SIMI acts as a centralized workspace where users can organize and work with multiple AI capabilities instead of treating every AI provider as a completely separate environment.
What does SIMI actually do?
SIMI provides a centralized environment for connecting, organizing, and working with multiple AI agents and models.
A user can connect AI providers through API keys, create individual agents, assign models to those agents, and then communicate with them through the Chats section. Instead of treating every AI model as an isolated tool, SIMI allows users to build a structured AI workspace around the models they already want to use.
One of SIMI’s important capabilities is multi-agent interaction. Users can create group chats containing several agents and send a question or task to the group. Each agent can provide its own response, allowing the user to compare different perspectives. The agents can also be instructed to discuss a subject with one another, which can be useful when a task benefits from multiple independent analyses.
SIMI also includes features for sharing and combining conversations, exporting chats, managing memory, monitoring usage, and organizing agents into containers. This means SIMI addresses not only the generation of AI responses but also the organization and management of AI workflows around those responses.
How is SIMI different from ChatGPT?
SIMI and ChatGPT serve different purposes.
ChatGPT is an AI service and conversational assistant that provides users with access to OpenAI’s models and features. SIMI, on the other hand, is designed as a multi-AI workspace where users can connect and organize AI models and agents from different providers.
The distinction becomes especially important when someone wants to compare AI models or use several providers during the same project. Instead of moving between separate AI applications, SIMI can provide a centralized environment where different agents can be accessed and organized together.
For example, a user researching a complex topic could create several agents using different models and ask each of them to analyze the subject. The user can then compare the responses or bring those agents into a group discussion.
Therefore, SIMI should not simply be viewed as "another ChatGPT." Its value is in the layer of organization, multi-provider access, agent management, comparison, and collaboration that it provides around multiple AI models.
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