Models, GitHub, Hugging Face, plugins and MCP work together inside Extella. Describe a task — the system assembles the right pipeline, does the work and saves the solution for the next run.
Installs everything the task needs: GitHub repos, Hugging Face models, libraries, APIs and external tools.
In one click, or in plain words — no terminal.
Actually runs the work: code, scripts, local models, CLI tools, APIs and connections between services.
Executed, not described.
Turns repeated tasks into processes: reports, research, content and cross-service routine.
Built once, run by agents end to end.
Add apps, models, skills, tools, knowledge bases, agents and GitHub repos straight from the catalog. Extella installs, connects and saves the setup so next time you never start from scratch. If something is missing, just describe the task and the system assembles the workflow.


Paste a link or pick from the catalog. Extella deploys the repo and gets it ready for work.
Connect models, datasets and libraries with no manual setup. Everything is saved for future runs.
Pick something ready-made from the catalog, or describe the task and Extella wires up the right components itself.
Say in plain words what result you need. No prompt engineering, diagrams or manual setup.
The system works with real files, data, APIs and tools. The output is not advice in a chat — it is the finished task: a file, a report, an action or a working process.
A successful solution is saved to your library. Run it again, improve it, hand it to the team, or build new processes on top of it.
Rules define how an agent behaves: working style, constraints, roles, safety rules and preferences. Say it once and the rule holds in future sessions. And when you correct an agent, the system can save that as a new rule.
Concepts store knowledge, not chat history: your processes, documents, clients, decisions and preferences. The right context is pulled in by meaning, automatically — so you never explain the same thing twice.
Experts are isolated execution modules for code, models, libraries and external tools. One expert can transcribe audio with local Whisper, another process a spreadsheet, a third wire the result into an API. Each runs on its own, with no dependency conflicts.
API keys, tokens and configuration are stored separately and encrypted on your device. They never appear in plain text in code, chat or model memory. An agent gets only the access a specific task requires.
Build agents for different roles: analyst, developer, editor, researcher, data operator. Each has its own knowledge, rules, tools and model. A master agent understands the task, hands parts of the work to the right specialists and assembles the result.
Every agent has its own system prompt, model, tools and memory. Contexts split across three levels: Global, Team and Agent. Shared rules stay shared, team knowledge stays within its group, and an agent's personal memory never mixes with other tasks.
OpenAI, Anthropic, Google, xAI, Qwen, MiniMax, your own endpoint, or a local model via Ollama. Each agent can have its own provider, temperature and reasoning mode. Different models work side by side in one team.
Five agents in parallel means five separate context windows. One reads a long document, another works a spreadsheet, a third calls an API. Contexts never collide, so complex tasks split across agents without overload.
CSPL — Container Specific Programming Language — Extella's own execution layer.
CSPL separates the intent of a task from the mechanics of execution. The model writes a short declarative description; a deterministic handler turns it into exact code. Improve the handler once — and every task of that class gets better, without rewriting a single line.
Up to 15× fewer tokens on repeated tasks, and not a single hallucinated step along the way.
An expert carried both the goal and the technical mechanics. On complex tasks the LLM re-guessed structure, syntax and execution steps every single time. That burned tokens and gave unstable results.
An expert describes the desired result in a compact format such as JSON or a DSL. The handler reads that description and executes it a proven way: generating code, calling libraries, running tools or chaining other experts.
Every pipeline you build stays in Extella as a ready-made skill. Repeat it, improve it, and use it as the base for new tasks.
Extella gathers sources, removes duplicates, prepares briefs and reports. With every run it gets better at your style, structure and requirements.
Connect CRMs, spreadsheets, drives and APIs. Extella ties the data into one process and removes the manual hand-offs between tools.
From plan to finished publication. Extella holds your rules, references and style so every piece reads like one brand.
Spin up internal tools, scripts and integrations with a single instruction. Finished solutions are saved to the library and run again.
Notes, decisions, recurring routine. Extella remembers what usually gets lost — and sees things through.
Work with spreadsheets, exports and dashboards. Ask a question and get more than an answer — a finished artifact: a report, a file or a visualization.
GitHub · Hugging Face · OpenAI · Anthropic · Google · xAI · Qwen · MiniMax · Local LLMs · Claude Code · OpenClaw
Telegram · WhatsApp · Slack · Gmail · Notion · Google Sheets · CRMs · Databases · Internal Systems · and more
Extella sits on top of your stack and orchestrates everything underneath.
Two entry points, one platform: a plain-language guide if you work in Extella, and a full REST API reference if you are building it into your own products and pipelines.
From first launch to multi-agent teams: step by step, in plain language, with examples for every feature.
48 endpoints with token auth: run experts from any pipeline, manage memory and agents, work with tasks on remote devices. OpenAI-compatible mode included.
Download the app and get 5,000 free credits. No card required.