If you have ever jumped between ChatGPT, Claude, Gemini, and DeepSeek just to find the right answer, you already know the problem: no single model is perfect for everything. coconutStudio solves this by becoming your single workspace for every frontier AI model. It is not just another chatbot. It is an agentic AI workspace that intelligently routes each question to the best available model, keeps your files and context in one place, and lets you switch between 25+ models without losing the thread of conversation.
Built locally and priced in Algerian dinars, coconutStudio is designed for serious students, researchers, developers, and professionals who need more than a generic chat box.
What Makes coconutStudio Different?
Most AI assistants lock you into one provider. OpenAI gives you GPT-4o. Google gives you Gemini. Anthropic gives you Claude. If you want the best model for coding and the best model for research, you need multiple subscriptions, multiple tabs, and zero continuity. coconutStudio collapses all of that into one interface with one balance of credits.
Here is the core difference: intelligent routing. When you send a message, coconutStudio does not blindly forward it to a default model. It classifies your question into one of four categories — coding, search, light tasks, or general — and routes it to the model and temperature configuration best suited for that task. A coding question gets a precise, low-temperature model. A research question gets a model bound to live web search. A simple translation gets a lightweight, fast model. You get better answers, faster, and cheaper.
And if you ever disagree with the router, you can manually select any model from the catalog and override the decision for that session.
The Models Inside coconutStudio
coconutStudio connects to 25+ frontier and top-tier models through OpenRouter, giving you a single API key and a unified interface for the entire AI landscape. The seeded model catalog includes:
- GPT-4o (OpenAI) — The best general-purpose frontier model for reasoning, writing, and analysis.
- GPT-4o Mini (OpenAI) — A fast, lightweight model used for classification, routing, and simple tasks.
- Gemini 2.0 Flash (Google) — Google's fastest model with long context and multimodal capabilities.
- Grok 2 (xAI) — Elon Musk's latest model with real-time X data integration and a distinct personality.
- DeepSeek Chat (DeepSeek) — The Chinese open-weights powerhouse known for coding and math reasoning.
New models are added dynamically. Administrators can insert any OpenRouter model into the registry without deploying code. Pricing, context windows, and tool capabilities are fetched automatically every 15 minutes and cached in the database. This means the model catalog stays current without manual updates.
Key Features That Power Serious Work
Multi-Model Chat with Smart Routing
Switch between 25+ models mid-conversation. The router picks the right model for each task automatically, or you can choose manually. Context is preserved across switches so you never lose your place.
RAG & File Upload
Drop in PDFs, Word documents, spreadsheets, and images. coconutStudio reads them, grounds its answers in your files, and cites sources. This is not generic knowledge. This is your knowledge, processed through a RAG system that retrieves the exact passages relevant to your question before generating a response. Whether you are analyzing a legal contract, reviewing a research paper, or extracting data from a financial report, the model answers from your documents, not from its training data.
Live Web Search
Real-time results from the web via Tavily and Firecrawl. Your answers stay current. No stale training data. When a question is classified as "search," the model automatically queries the web, reads the results, and synthesizes an answer with citations. This is essential for research, news analysis, and competitive intelligence.
Workspaces
Separate contexts for separate projects. Each workspace keeps its own files, memory, and settings. A student can have one workspace for thesis research, another for coding practice, and a third for language learning. Workspaces prevent cross-contamination and keep long-running projects organized.
Long Memory Persistence
coconutStudio remembers your preferences, pastes, and context across sessions. You do not repeat yourself. The system stores durable facts about how you work, what formats you prefer, and what projects you are running. This memory is injected into future conversations automatically.
Skills & Agents
Attach specialized skills to a session — research, legal analysis, coding, writing — and let the agent loop run. Skills are predefined behavioral tags that inject system-level instructions into the conversation context, shaping tone, format, and domain expertise without you writing explicit prompts every time.
Connectors (MCP)
Connect to Google Docs, Sheets, Canva, Meta, and any MCP-compatible tool. coconutStudio works where your content already lives. Instead of copying and pasting between apps, you can query, edit, and generate content directly inside your existing workflow.
File Creation & Export
Generate documents, spreadsheets, and presentations from a conversation, then export to PDF, Word, or Excel. Turn a brainstorming session into a deliverable in one click. This bridges the gap between AI ideation and professional output.
In-Chat Visualization
Render charts, diagrams, and interactive previews directly inside the conversation. See your data and code outputs visually. No context switching. This is especially powerful for data analysis, code review, and educational explanations.
How RAG Works in coconutStudio (And Why It Matters)
RAG stands for Retrieval-Augmented Generation. It is the difference between a model that hallucinates and a model that cites. Here is how it works inside coconutStudio:
- Upload your document to a workspace or chat session. The system accepts PDFs, Word files, spreadsheets, and images.
- Processing — the document is parsed, chunked, and embedded into a vector representation. This creates a searchable index of your content.
- Query — when you ask a question, the system searches the index for the most semantically similar chunks to your query.
- Retrieval — the top-matching passages are retrieved and injected into the model's context window as grounding material.
- Generation — the model generates an answer based on both its general knowledge and the retrieved passages. It cites the source passages so you can verify.
This means you can upload a 100-page research paper and ask, "What was the conclusion of the third experiment?" The system will find the exact section, quote it, and explain it. You can upload a financial spreadsheet and ask, "What is the average revenue growth in Q3?" The system will read the cells, calculate the answer, and show its work. This is not possible with a standard chatbot that only knows its training data.
If you want to understand the technical details of how retrieval and generation work together, read our deep dive on the RAG system and why it is the most important feature for professional AI use.
Who Is It For?
- Students — Research papers, homework help, code debugging, literature reviews. The router sends coding questions to the best coding model and writing questions to the best writing model.
- Researchers — Upload papers, run cross-model literature reviews, cite sources, and keep long-running research threads in dedicated workspaces. Web search keeps you current with the latest publications.
- Developers — Smart routing sends coding questions to the model that codes best. Compare outputs across models, attach your codebase docs, and ship with agent loops that iterate.
- Professionals & Teams — Generate reports, analyze spreadsheets, draft contracts, and keep client work separated in workspaces. Long memory means coconutStudio learns how you work.
- Creators — Content writing, video scripts, image generation prompts, social media planning. Switch between creative and analytical models on the fly.
Pricing: Start Free, Scale When You Need
- Free Plan — 0 DA. 240 coconuts per month. Includes web search, RAG, file upload, workspaces, and long memory. Limited to fast and precise modes only.
- Pro Plan — 950 DA per month (~$5). 5,000 coconuts. Access to all 25+ models. Priority on heavy models. Higher web search and file limits. Coconuts roll forward.
Coconuts are your monthly AI budget. Each model call, web search, and file upload draws from your balance. Pro users get a larger pool and higher limits. No separate subscriptions. No API juggling. One account, every model.
Built in Algeria, For the World
coconutStudio is built locally with global ambition. We use Hetzner for hosting, Fireworks.ai for fast inference, NeonDB for serverless Postgres, and LangChain for orchestration. Your conversations are not used to train models. We do not sell data. Google user data is only accessed via OAuth for sign-in, with the minimum scope required.
Ready to Try It?
New users get 240 free coconuts. No credit card required. No setup. Just ask.
Open coconutStudio and start your first conversation today.