Buda

What Buda is

Buda is a cloud-native multi-agent platform, and its home page title says "Cloud, No Hardware." The tagline is "Agents as a Company," and the hero line says Buda runs your entire company, "actually doing things." It sits in the chatbot builder group because you create agents you talk to and can deploy to chat channels, but it is closer to a workspace for AI coworkers than to a website widget. The company's blog puts it plainly: "A chatbot answers users. An AI agent workspace helps agents perform tasks." The reader it is written for is a founder or an operations team that wants agents to finish tasks (research, outreach, documents, code), not only answer questions. The footer signs the company off as "AI Organizer Company".

What you build and how

You build with agents, not flows. The home page shows a workspace in which you "Start with one agent. Add specialists, drives, memory, tools, and channels as the work grows." It shows 2 layouts: a single-agent layout and a company layout. The sample company on the page has a Strategy Advisor, Marketing Agent, Sales Agent, Finance Agent, Research Agent, and Content Writer, each a separate agent you can message. The workspace sidebar carries New Chat, Search, Drive, Automations, Skills, Projects, and Sessions, so you assign work, watch progress, and return to earlier sessions.

Under the hood, the page describes one Organizer that coordinates and dispatches work, and Agent Computers that execute "in isolated, persistent sandboxes", credited as "Powered by Sandock.ai & previewfile.dev". Because these run in the cloud, there are no machines to buy, no daemons to maintain and no laptops to keep awake, and several agents can keep working in parallel. The company says context compression, persistent memory and reusable skills lower runtime cost by cutting repeated work.

Memory and files are a core idea. The page describes a "Drive for every agent and team": an Agent Drive that holds an agent's working files, and a Space Drive that keeps shared knowledge and final outputs. The demo lists files such as a launch plan in Markdown, competitor notes in CSV, and a creative brief PDF. The blog says agents "can learn from Drive, preserve files and context across sessions", so work does not disappear between runs.

The tools are what separate Buda from a chat widget. The home page shows agents that build and deploy websites, generate and edit images and videos, run scripts, install packages and process files in a "Nano Computer terminal", and drive an AI browser that opens pages, extracts text, clicks and captures screenshots. A review view lets you "Inspect diffs, review commits, and roll back safely." A coding agent demo turns a request into tool calls, generated code and a live browser preview, with a small game as the example.

The starting points are written as use cases. The home page names 6: Entire Company (agents across HR, operations, and sales), Knowledge Base Support (answering from manuals, contracts, FAQs, and support records), Sales Outreach (research leads, draft outreach, keep the CRM moving), Coding Agent (coding, tests, PRs, and docs), Content Studio (notes and recordings into posts, slides, and briefs), and Operations Team. A longer list sits under "More work your agents can take on": create slides, build a website, develop desktop apps, design, video, develop apps, schedule tasks ("Run recurring checks and follow-ups"), wide research, spreadsheets, visualization (charts and dashboards), audio, and a chat mode that routes chat requests to agents. So the same product can produce an internal dashboard, a small site, or a transcript summary.

Channels. Under "Agents Everywhere", the home page says you connect chat channels so agents can receive requests and return finished work. The demo shows a request in a messenger routed to the Go-to-Market Strategist, then turned into a LinkedIn post draft. The blog names Slack, Discord, Telegram, WhatsApp, WeChat, Teams, and Feishu as deployment channels.

Marketplace. You install ready-made agents, skills, and workflows from a marketplace and adapt them to your workspace. The featured items include Google Cloud security and reliability guidance skills, a spreadsheet skill and a skill creator. Skills and automations then become reusable procedures rather than prompts you write again each time.

Models. The demo's chat box shows a model picker set to Gemini 3.1 Flash.

Humans stay in the loop through review. In the demo, the Marketing Agent "queued 3 posts for approval," and the user replies to approve the posts and send contract follow-ups. The comparison section on the home page sums up the stance: "People review decisions, outputs, and handoffs."

Plans and controls

The company's blog gives the pricing outline: Buda's free plan includes 2 agents, and paid plans start at $20 a month per agent, with higher tiers adding browser, terminal, Git, more automations, SSO, roles, audit logs, and self-hosted enterprise options. The home page carries "Start Free" and "No Credit Card Required," and the header links to a Pricing page with the plan detail.

For companies, the home page lists "Shared workspaces, roles, audit logs, SSO, and private deployment options", and says files, agent memory and outputs "stay isolated inside controlled workspaces your team can review" by default. The footer also points to programs for students, startups, non-profits and open-source maintainers, a developer center, downloads and release notes, and the navigation includes docs and a community.

Who it suits and who it does not

Buda suits a small team that wants work done rather than answers given. A founder can run a go-to-market strategist, a research agent, and a content writer in one workspace with shared files. An operations team can assign recurring tasks and review output before it goes out. A developer-leaning team will notice the browser, terminal, and Git, which place Buda closer to code than most chatbot builders.

It is a heavier choice if you only need an FAQ widget for a site. Pricing is per agent, so a team that runs many specialists pays for each, and the browser, terminal, Git, and SSO features sit on paid tiers. The company's own blog also warns that no-code agent products often become low-code once you need custom APIs, permissions, retries, or deployment, so plan for someone on the team to think through how the agents' tasks are structured.