Buda AI
Buda AI is a cloud-native multi-agent workspace where you hire agents that run real work in their own cloud computers.
Buda answers the boring part of agents — where did it run, what did it touch, can I audit it — by design: a persistent cloud computer per agent, live browser/terminal/Git review, and rollback. The $20/mo-per-agent Plus and $100/mo-per-agent Pro tiers are real money once you staff a roster, and Free gates out Browser, Terminal, and Git entirely, so evaluate on one Plus agent before committing. If you only want quick answers, ChatGPT or Claude is cheaper. If you want work that keeps going and leaves a trail, Buda is one of the few places that shows the trail.
Verified 14h ago · liveness 78/100 · cite: rightaichoice.com/tools/buda-ai
- Founders and solo builders who want a cloud AI team without buying hardware
- Small teams automating multi-step workflows across files, browser, terminal, and code
- Developers needing persistent agent environments for coding, tests, PRs, docs, and previews
- Operations and knowledge-base teams answering from manuals, contracts, and FAQs
- Users who only need quick single-agent Q&A — ChatGPT or Claude is cheaper for that
- Teams that want one flat predictable bill instead of credit consumption that varies by model and task
- Buyers who need sub-30-minute scheduling out of the box on Free or Plus
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Skip Buda if you need one question answered in seconds, want a flat predictable monthly bill without a shared credit pool, or need Browser, Terminal, and Git without paying the $20/mo/agent Plus rate.
Credits are consumed at different rates by model — Claude Fable 5.1 and GPT-6 Astra burn at 5.0x while GPT-6 Luna runs at 0.03x — so a big reasoning task costs far more than it looks.
Free (2 agents, 300 credits/day) is a genuine try-before-you-buy surface but excludes Browser, Terminal, and Git. Plus at $20/mo/agent is the realistic starting point for a small team and undercuts hiring a contractor for the same workflow. Pro at $100/mo/agent fits power users running 5-minute cron loops and high-performance disks. Enterprise is custom with BYOK and self-hosting, and the $2,000/mo Deployment Service sits above all of it.
In short
Buda AI — Buda AI is a cloud-native multi-agent workspace where you hire agents that run real work in their own cloud computers. Best for Founders and solo builders who want a cloud AI team without buying hardware, Small teams automating multi-step workflows across files, browser, terminal, and code, Developers needing persistent agent environments for coding, tests, PRs, docs, and previews. Free to start; paid plans from $5.
What's new in Buda AI
Checked todayAcross the latest 5 updates: 3 feature updates, 1 changelog entry and 1 news mention.
Buda v1.30.1 Release Notes
A fix release: bold links in Community posts and replies now open correctly.
Buda v1.30.0 Release Notes
Adds Claude Opus 5.5 for deep reasoning, clearer Community progress, and a fully localized Korean experience.
Buda v1.29.0 Release Notes
GPT-6 Sol and Luna models arrive, along with richer Community publishing and sharing and faster progress updates across connected channels.
Buda v1.28.0 Release Notes
Connected Agents can read images and upload video homework, and pages stay stable while Buda is being updated.
Claude Opus 5.5 available in Buda
Buda adds Claude Opus 5.5 for research, code review, and knowledge tasks, with reviewable outputs in its persistent workspace.
What people actually say about Buda AI — is it worth it?
We scanned public community sources for Buda AI on Jul 2, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Buda AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Multi-agent orchestration with an Organizer that dispatches requests to specialist agents
- Each agent runs in an isolated, persistent cloud computer with its own Drive and long-term memory
- Live review of files, browser activity, terminal commands, and Git diffs as work happens
- Inspect diffs, review commits, and roll back changes before they ship
- Reusable Skills and scheduled Automations with cron intervals from 2h on Free down to 1min on Enterprise
- Marketplace of agent templates, skills, and workflows with free and paid individual pricing
- Publisher skills from Anthropic and Google, including xlsx and skill-creator
- Chat channel delivery via WhatsApp, Telegram, Slack, Feishu, DingTalk, and VS Code
- Access to 8 frontier AI models on all plans, priced by credit multiplier per model
- Image generation and editing with Nano Banana 2 and GPT Image 2, up to 16 input images with masks
- Video generation from prompts, plus Whisper audio transcription
- Build, preview, and deploy websites with custom domains from inside the workspace
- App Builder Tool for turning ideas into shareable web apps
- AI Browser that opens pages, extracts text, clicks, and captures screenshots
- Nano Computer terminal for running scripts, installing packages, and processing files
About Buda AI
Buda is a cloud-native AI agent workspace built on an "Agents as a Company" model. Instead of one chatbot, you recruit a roster — Strategy Advisor, Marketing Agent, Sales Agent, Finance Agent, Research Agent, Content Writer — and an Organizer dispatches each request to the agent that should own it. Each agent runs in its own isolated, persistent cloud computer with a Drive and long-term memory, so projects survive across sessions and parallel agents keep working while you're offline. The review layer is the difference: files, browser activity, terminal commands, and Git diffs are visible as they happen, and you can inspect diffs, review commits, and roll back before anything ships. Anything repeatable becomes a reusable Skill or a scheduled Automation, and the Marketplace has installable agents, skills, and workflows — including publisher skills from Anthropic and Google. Agents meet you in WhatsApp, Telegram, Slack, Feishu, DingTalk, and VS Code, and tooling extends through custom MCP servers and Buda Connector for your own machine. Tool coverage includes code and site building, image generation and editing via Nano Banana 2 and GPT Image 2, video generation, Whisper transcription, spreadsheets, and wide research. All plans include 8 frontier models, from GPT-6 Luna at 0.03x credits up to Claude Fable 5.1 and GPT-6 Astra at 5.0x, with Claude Opus 5.5 added in v1.30.0.
Behind the Verdict
Buda's core claim is that a single chat window is the wrong shape for agent work, and the product backs that up. Every agent gets its own long-running cloud computer with a persistent Drive and memory, so a task started Tuesday can continue Thursday without you keeping a laptop awake or babysitting a daemon. The Organizer routes incoming requests to the right specialist, which is why the company metaphor isn't just marketing — you're mostly setting direction and reviewing output rather than prompting step by step. The review surface is where Buda earns its keep. Files, browser sessions, terminal commands, and Git diffs stream live, and you can inspect a diff, review the commit, and roll back before it ships. Teams that have been burned by an agent quietly rewriting a config file will understand why this matters more than another model benchmark. Anything you do twice can become a Skill, and Skills can run on a cron from a 2-hour floor on Free down to 1-minute intervals on Enterprise. The Marketplace is genuinely useful rather than decorative — publisher skills from Anthropic and Google (xlsx, slack-gif-creator, web-artifacts-builder, skill-creator, Google Cloud WAF security and reliability guidance) install straight into a workspace. Model access is broad and priced by consumption: 8 frontier models on every plan, from GPT-6 Luna at 0.03x credits for fast automation through Claude Sonnet 5.5 at 1.0x, Claude Opus 5.5 at 1.3x, and Claude Fable 5.1 or GPT-6 Astra at 5.0x for the hardest reasoning. You are not locked to one vendor's roadmap. The honest weaknesses: per-agent pricing means a five-agent roster costs $100/mo on Plus or $500/mo on Pro before you top up credits, and because every agent in a Space draws from one shared credit balance, a runaway Pro-tier agent on an expensive model can drain the pool faster than expected. Browser, Terminal, and Git are paid features, so the Free tier is really a try-before-you-buy surface. Sub-30-minute scheduling needs Pro or Enterprise. Self-hosting exists only on Enterprise via custom sales. And a multi-agent company is overhead if your actual need is one question answered in ten seconds — ChatGPT or Claude wins that comparison outright. Where Buda fits: solo builders and small teams who want agent capacity with an audit trail, developers who want persistent environments for coding, tests, PRs, docs, and previews, and ops or knowledge-base teams answering from manuals, contracts, and FAQs on a schedule. Where it doesn't: anyone who wants one flat predictable bill, or who needs a single-purpose chatbot.
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Real-world workflow fit
Concrete scenarios for the personas Buda AI actually fits — and what changes day-one when you adopt it.
Hire a Go-to-Market Strategist agent, drop competitor notes into the Agent Drive, and ask for a 2-week launch plan routed through the Organizer.
Outcome: The agent returns launch-plan.md, competitor-notes.csv, and a creative brief saved to Drive, then drafts the first LinkedIn post from the same context.
Recruit a Coding Agent on a Plus plan and have it plan, code, and test a bug maze feature with a live browser preview open.
Outcome: You watch terminal commands and Git diffs stream, review the commit, and roll back before the change ships if the diff looks wrong.
Set up a Knowledge Base Support agent over manuals and contracts, then schedule a recurring check via cron automation on the 30-minute Plus interval.
Outcome: The agent answers from source documents on a schedule and posts results back to the team's Slack channel.
Use Cases
- Recruit a coding agent to plan, code, test, and release software from a single prompt.
- Deploy a marketing agent to research leads, draft outreach, and keep CRM moving.
- Create a content studio agent that turns notes and recordings into posts, slides, and briefs.
- Set up an operations team so agents handle department work while people lead.
- Build a knowledge base support agent that answers from manuals, contracts, and FAQs.
- Schedule recurring checks and follow-ups with cron automations, from 2h down to 1min.
- Generate images and videos for social or product marketing with built-in tools.
- Use Buda Connector to let agents work on your own computer or server.
Models Under the Hood
as of 2026-09-26
Limitations
- The Free plan caps you at 2 agents and 300 credits/day, and paid plans price per agent ($20/mo/agent Plus, $100/mo/agent Pro), so cost scales linearly with roster size.
- Browser, Terminal, and Git are only available on Plus and above, and automation intervals are plan-gated at 2h minimum on Free, 30min on Plus, 5min on Pro, and 1min on Enterprise.
- Every agent in a Space draws from one shared credit balance, and credit burn varies by model — Claude Fable 5.1 and GPT-6 Astra consume credits at 5.0x while GPT-6 Luna runs at 0.03x — so an expensive model on an autonomous loop can drain a pool quickly.
- Self-hosting and SSO/roles/audit logs are Enterprise-only.
- The multi-agent model itself is overhead if you just want a single chatbot.
as of 2026-10-08
Verification history
We have re-verified Buda AI 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Buda AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo builder testing whether agent work fits their workflow before spending anything, with 2 agents and 300 credits/day.
What this tier adds
Free entry point: Agent plus Drive only, with Browser, Terminal, and Git locked out and automations capped at a 2-hour minimum interval.
Plus
$20/mo/agent
Ideal for
Individual operators and small teams running one to three working agents who need browser, terminal, and Git access.
What this tier adds
Versus Free: adds Browser, Terminal, and Git, unlimited sessions and chat channels, 2 GB SSD and 2 vCPU per agent, plus 4,000 credits per agent.
Pro
$100/mo/agent
Ideal for
Power users and growing teams running autonomous loops that need faster schedules and bigger machines.
What this tier adds
Versus Plus: 20,000 credits per agent instead of 4,000, 10 GB SSD and 4 vCPU per agent, high-performance EBS SSD, and 100 automations on a 5-minute cron floor.
Enterprise
Custom
Ideal for
Companies needing custom agents, self-hosting, BYOK, SSO, roles, and audit logs with a 1-minute cron floor.
What this tier adds
Versus Pro: custom agents and credits, BYOK, self-hosted option, SSO/roles/audit logs, and unlimited automations down to 1-minute intervals.
Deployment Service
Starting at $2,000/mo
Ideal for
Businesses that want Buda's team to deploy production AI agents for external and internal workflows rather than doing it themselves.
What this tier adds
Separate from plan tiers: starts at $2,000/mo for 2 deployed agents, workflow discovery, production onboarding, a monthly review, and a dedicated deployment lead.
Credit Top-Up
$5 to $2,000
Ideal for
Any paid Space that runs out of credits mid-month, with top-ups from $5 up to $2,000.
What this tier adds
Adds credits to the Space's shared Credit Balance, never expires, and is drawn on by every agent in the Space.
Where the pricing makes sense
The company stage and team size where Buda AI's pricing actually pencils out — and where peers do it cheaper.
Free (2 agents, 300 credits/day) is a genuine try-before-you-buy surface but excludes Browser, Terminal, and Git. Plus at $20/mo/agent is the realistic starting point for a small team and undercuts hiring a contractor for the same workflow. Pro at $100/mo/agent fits power users running 5-minute cron loops and high-performance disks. Enterprise is custom with BYOK and self-hosting, and the $2,000/mo Deployment Service sits above all of it.
Setup time & first value
How long it actually takes to get something useful out of Buda AI — broken out by persona, not the marketing-page minute.
Solo builders: about five minutes from sign-up to first deliverable, per Buda's own quickstart — recruit one agent, give it a task in plain language, review the result. Small teams: budget an hour to connect a chat channel like Slack or WhatsApp and set Disk and vCPU expectations for each agent. Ops teams wiring schedule and knowledge base: a half day to load source documents into Drive and
Switching to or from Buda AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ChatGPT or Claude: move recurring tasks to a Buda agent when you need persistent memory, browser access, and a reviewable diff history rather than one-off answers.
- →From self-run agent frameworks like Goose or Qwen Code: replace local daemons with agents in cloud computers while keeping your MCP servers via custom MCP connections.
- →From GitHub Actions bots: switch scheduled scripts to Automations on a cron and get file, terminal, and Git review in one workspace.
- →From Buda Desktop or Buda Connector: agents already running on your own machine can be moved into the hosted cloud workspace when you no longer want to keep a machine awake.
- ↗To ChatGPT or Claude: if your work becomes single-turn Q&A, move back to a lower-cost chat plan and drop the per-agent subscription.
- ↗To an in-house agent framework: export Drive files and re-point your MCP servers at a self-run harness if you need full infrastructure control.
- ↗To Enterprise self-hosting: if compliance forces you off the shared cloud, migrate to Buda's Enterprise self-hosted option rather than another vendor.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Buda AI”, and we withheld 5: 5 could not be judged, because “Buda AI” is a single word that other videos use for other things. Showing the 1 we can prove is about Buda AI.
Official links
Tools that pair well with Buda AI
Common stack mates teams adopt alongside Buda AI, with the specific reason each pairing earns its keep.
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Notable
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Featured Head-to-Head Comparisons
Buda Ai vs Locus Robotics
Locus Robotics and Buda AI serve fundamentally different domains: physical vs. digital work. Locus is a proven RaaS solution for warehouse automation, ideal for high-volume fulfillment operations seeking 2-3x productivity gains with flexible deployment. Buda AI is a cloud-native multi-agent workspace for automating knowledge work, best suited for founders and small teams who want to scale operations without hiring. Choose based on your primary need: tangible logistics automation or AI-driven task execution.
Buda Ai vs Truleo
Truleo and Buda AI serve entirely different domains. Truleo is purpose-built for law enforcement agencies to analyze siloed data (RMS, CAD, jail calls) and generate leads. Buda AI is a general-purpose multi-agent platform for automating business workflows. Choose Truleo if you're in law enforcement; choose Buda if you need a flexible agent workforce.
Buda Ai vs Presto Voice
Presto Voice and Buda AI serve completely different domains: one is a specialized drive-thru voice AI for QSR chains, the other is a general-purpose multi-agent platform for automating business workflows. Choose Presto if you run a multi-location QSR and need to boost drive-thru revenue; choose Buda if you're a founder or small team looking to scale operations with AI agents across various digital tasks.
Alternatives to Buda AI
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DataRobot
Enterprise agent workforce platform for building, operating, and governing AI agents across on-prem, hybrid, and multi-cloud environments.
Cryptohopper
Cryptohopper runs an automated crypto trading bot in the cloud, with Copy Bot mirroring and an MCP server for AI trading agents.
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