Buda
Buda is a multi-agent AI workspace where persistent cloud agents do real work you can review and approve.
Buda's real differentiator is the audit trail, not the agent headcount: per-agent Drives, a shared Space Drive, visible tool calls, and diffs you can inspect and roll back before output ships. Pick it if your team needs to sign off on what an agent produced; skip it if you just want a chat window or you need self-hosting outside an Enterprise contract.
Verified 1d ago · liveness 79/100 · cite: rightaichoice.com/tools/buda
- Founders and solo builders who need agent capacity without managing machines
- Small teams that want persistent memory, shared drives, and one review workflow
- Engineering teams running coding agents with browser preview, terminal, and Git in the same sandbox
- Support and ops teams answering from manuals, contracts, FAQs, and internal records
- Anyone who wants a simple chatbot rather than a coordinated agent workforce
- Free-plan users who need Browser, Terminal, or Git — those unlock on Plus
- Teams that need self-hosting or SSO without an Enterprise contract
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Skip Buda if you want a single chatbot answering questions rather than a coordinated team of agents doing work you have to review and approve.
Running flagship models like GPT-6 Astra or Claude Fable 5.1 costs 5.0x credits versus 0.07x for GPT-5.6 Luna, so a workspace that defaults to frontier models burns through its Space credit pool far faster.
Plus at $20/mo/agent fits solo builders and small teams who need Browser, Terminal, and Git. Pro at $100/mo/agent is for power users running 4 vCPU/4 GB agents, 10 GB SSD drives, and up to 100 automations. Enterprise is contact-sales for self-hosting, SSO, and BYOK. Against DIY frameworks like CrewAI or AutoGPT, Buda replaces setup and infra work with a managed platform; against hiring, the $2,000/mo Deployment Service is the high-touch alternative.
In short
Buda — Buda is a multi-agent AI workspace where persistent cloud agents do real work you can review and approve. Best for Founders and solo builders who need agent capacity without managing machines, Small teams that want persistent memory, shared drives, and one review workflow, Engineering teams running coding agents with browser preview, terminal, and Git in the same sandbox. Free to start; paid plans from $20/mo.
What's new in Buda
Checked todayAcross the latest 10 updates: 2 launches and 8 community discussions.
Buda vs Pi: customize the harness or operate an agent workspace?
Compares who owns extensions, execution boundaries and reviewable artifacts in Buda versus Pi.
Buda vs Zoo Code: portable coding modes or persistent team workflows?
Buda draws the line between portable coding modes and credential-bearing exports and team acceptance.
Introducing Claude Haiku 5.5: stronger capabilities and 90% lower short-prompt prices
Buda adds Claude Haiku 5.5 with adjustable effort and stronger computer-use results; short-prompt pricing drops 90%.
Buda vs Grok Bot: account-wide computer or separate agent workspaces?
Buda compares the sharing unit for files, sessions and role offboarding against Grok Bot's separate agent workspaces.
Buda vs Deep Agents Code: who owns the runtime, and who accepts the work?
Compares the maintenance and review work behind Buda's managed workspace and Deep Agents Code.
Buda vs Oh My Pi: a richer debugging session still needs a handoff
Contrasts runtime debugging and live collaboration with asynchronous acceptance in Buda.
Buda vs DeepSeek Harness: installing plugins is not the same as handing off work
Buda argues configuration changes should be tracked separately from evidence and business acceptance.
Introducing Gemini 4 Argon: test long workflows with evidence, not output length
Buda adds Gemini 4 Argon, positioning long-workflow acceptance around sources, equivalence and exceptions.
Buda vs MiMo Code: resume a long task from project memory or a persistent workspace?
Compares checkpoints, source withdrawal and unfinished checks when deciding whether interrupted work resumes.
Buda vs Command Code: learn coding preferences or manage a team's workflows?
Advises inspecting scope, examples and rule versions before promoting learned preferences into shared standards.
What people actually say about Buda — is it worth it?
We scanned public community sources for Buda on Jul 5, 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? 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 via an Organizer that dispatches work to specialist agent computers
- Persistent cloud computers per agent with SSD storage, persistent memory, and isolated workspaces
- Live Browser, Terminal, and Git inside each paid-plan sandbox
- Reviewable tool calls with diffs, commit inspection, and rollback before work ships
- Agent Drive for working files plus a shared Space Drive for team knowledge
- Marketplace for installable agents, skills, and workflows, free and paid
- Chat channel delivery so agents receive requests and return work where your team talks
- Build, preview, and deploy websites with custom domain management
- Image generation and editing with Nano Banana 2 and GPT Image 2 (up to 16 input images with masks)
- Video generation from text prompts with 3 image variants
- Audio transcription, summarization, and scripting
- Cron-based automations for scheduled and recurring agent tasks
- REST API (API Claw) giving your app or hardware a managed agent with chat, memory, and a private knowledge base
- Custom MCP server connections and connected integration tools
- Buda Connector to run agents on your own computer or server with real files and project environments
About Buda
Buda is a cloud-native multi-agent AI workspace that runs agents as a company: one Organizer coordinates and dispatches work to specialist agents, each executing inside its own persistent cloud computer. You start with a single agent, then add specialists, drives, memory, tools, and chat channels as the work grows. It suits founders, solo builders, and small teams who want agent capacity without buying or babysitting machines — no daemons to maintain, no laptops kept awake.
Behind the Verdict
Where Buda wins is continuity. Close the laptop, hand a thread to a colleague, rerun it next week — the Drive, memory, and session stay put. Local agent stacks lose that the moment the machine sleeps or the setup drifts. The pricing is credit-based and shared across a Space. Free gives you 2 agents, 300 credits a day, 1 GB disk per agent, and Agent plus Drive but no Browser, Terminal, or Git. Plus at $20/mo/agent adds 4,000 credits, 2 GB SSD, and the full tool set; Pro at $100/mo/agent jumps to 20,000 credits, 10 GB SSD, and priority support. Watch the model roster: credits span roughly 160x from GPT-6 Luna at 0.03x to Claude Fable 5.1 and GPT-6 Astra at 5.0x, so model choice moves your invoice more than seat count does. Closest alternatives are CrewAI and AutoGPT on the build-it-yourself side, and Amp if what you want is a single long-running development thread rather than an ongoing business responsibility. Buda leans toward the latter — multiple agents with roles, drives, and review gates. The caveats are real. Sandboxes are cloud-hosted, so if code or customer data must stay on your own infrastructure, you're waiting for the Enterprise tier (cloud, dedicated, or self-hosted, BYOK, SSO, audit logs). The Marketplace mixes free and paid templates, which adds a second line item if you install paid skills. And nothing stops an agent from burning credits on a 5.0x model while you're not looking — set model defaults per agent rather than leaving it to the runner.
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Real-world workflow fit
Concrete scenarios for the personas Buda actually fits — and what changes day-one when you adopt it.
You install the Go-to-Market Strategist agent from the Marketplace, drop competitor notes into its Drive, and ask for a two-week launch plan. The agent browses competitor sites, writes launch-plan.md and competitor-notes.csv to its Drive, and drafts the first LinkedIn post — all visible step by step.
Outcome: You review the diff, approve the posts, and have a launch plan plus a first post without leaving the workspace or managing any hardware.
You give a coding agent a task to write tests and open a pull request. It edits files, installs packages in the terminal, runs the test suite, and opens a live browser preview of the result for you to inspect before merging.
Outcome: The PR arrives with tests passing and a browser preview attached, and the diff is reviewable and rollbackable if something looks wrong.
You connect your team's Slack and point the knowledge base agent at manuals, contracts, and FAQs in the shared Space Drive. Team members ask questions in Slack and the agent routes each request to the right specialist.
Outcome: Answers come back in the channel your team already uses, drawing on the same persistent knowledge base across every agent.
Use Cases
- Deploy a sales outreach agent that researches leads, drafts emails, and keeps CRM moving without you chasing it.
- Set up a knowledge base support agent that answers from manuals, contracts, and FAQs.
- Run a coding agent that writes tests, generates code, and opens pull requests with a live browser preview.
- Turn notes and recordings into blog posts, slides, and creative briefs with a content studio agent.
- Schedule recurring operations checks and follow-ups through cron automations.
- Route Slack or Teams requests to specialized agents for HR, finance, or marketing.
- Build, preview, and deploy a website with a custom domain from a single agent task.
- Embed a managed agent into your own product through the API Claw REST API.
Models Under the Hood
as of 2026-10-04
Limitations
- The Free plan caps you at 2 agents and 300 credits/day, includes no Browser, Terminal, or Git, and limits you to 5 automations with a 2-hour minimum interval — Browser/Terminal/Git unlock on Plus ($20/mo/agent) and above.
- Paid tiers also gate automation count and interval: 20 automations at a 30-minute minimum on Plus, 100 automations at a 5-minute minimum on Pro.
- Credits draw from a single shared Space pool and can be topped up, and more RAM, vCPU, disk, or shared Space Drive capacity require upgrading tiers.
- Agent concepts like drives, skills, and approval gates take time to learn if you're new to agent platforms.
as of 2026-09-22
Verification history
We have re-verified Buda 10 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 10 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 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 tester or hobbyist who wants to try one or two agents on simple file and Drive tasks before paying anything.
What this tier adds
Starting tier: 2 agents, 300 credits/day, and Agent + Drive only — no Browser, Terminal, or Git.
Plus
$20/mo/agent
Ideal for
Individual builder or small team that needs agents to browse the web, run commands, and open pull requests.
What this tier adds
Adds Browser, Terminal, and Git access, 2 vCPU / 2 GB agents, 2 GB SSD drives, 50 GB shared Space Drive, unlimited sessions, and 20 Cron automations.
Pro
$100/mo/agent
Ideal for
Power user or growing team running many concurrent agents, larger drives, and frequent scheduled tasks.
What this tier adds
Adds 4 vCPU / 4 GB agents, 10 GB high-performance SSD (EBS) drives, 100 GB shared Space Drive, and 100 automations with a 5-minute minimum interval.
Enterprise
Custom
Ideal for
Organizations that need self-hosting, BYOK, SSO, roles, audit logs, custom integrations, or a dedicated SLA.
What this tier adds
Adds custom agents and credits, BYOK, self-hosted deployment, unlimited automations at a 1-minute minimum interval, and dedicated support.
Deployment Service
$2,000/mo
Where the pricing makes sense
The company stage and team size where Buda's pricing actually pencils out — and where peers do it cheaper.
Plus at $20/mo/agent fits solo builders and small teams who need Browser, Terminal, and Git. Pro at $100/mo/agent is for power users running 4 vCPU/4 GB agents, 10 GB SSD drives, and up to 100 automations. Enterprise is contact-sales for self-hosting, SSO, and BYOK. Against DIY frameworks like CrewAI or AutoGPT, Buda replaces setup and infra work with a managed platform; against hiring, the $2,000/mo Deployment Service is the high-touch alternative.
Setup time & first value
How long it actually takes to get something useful out of Buda — broken out by persona, not the marketing-page minute.
Sign-up to first deliverable is about five minutes per Buda's own quickstart: recruit an agent, give it a task in plain language, and review the result. Connecting chat channels and configuring Space Drive knowledge adds an afternoon. Teams rolling out automations, multiple agents, and Enterprise self-hosting should budget days, not minutes.
Switching to or from Buda
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From CrewAI or AutoGPT: rebuild your agent roles as Buda agents and move prompts and tools into Skills instead of maintaining local setup scripts.
- →From a single-assistant chat tool: split repetitive tasks into named agents, give each its own Drive, and set approval gates before output ships.
- →From manual VPS or laptop agents: run work in Buda's cloud computers and optionally reattach local files and environments through Buda Connector.
- →From a spreadsheet-and-cron workflow: convert recurring jobs into Buda Automations with Cron scheduling and delivery to agent sessions or chat channels.
- ↗To a plain chatbot: export your agent prompts and Drives as Markdown files, though you'll lose persistent agent memory, approval gates, and browser/terminal execution.
- ↗To CrewAI or AutoGPT: take your Skills' instructions and workflow logic, then rebuild orchestration and hosting locally, accepting you now manage the infrastructure.
- ↗To an enterprise agent platform with built-in SSO and audit logs: plan for a contract migration, since those controls at Buda sit in the Enterprise tier.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 5 videos for “Buda”, and we withheld 5: 5 could not be judged, because “Buda” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Buda.
Official links
Tools that pair well with Buda
Common stack mates teams adopt alongside Buda, with the specific reason each pairing earns its keep.
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.
Xano
Xano is a no-code backend that turns AI agents and natural language into governed APIs, databases, and business logic on a reviewable visual canvas.
Featured Head-to-Head Comparisons
Buda vs Spider Cloud
Choose Buda if you need a unified agent workforce to automate complex multi-step business processes with human oversight. Choose Spider Cloud if your primary need is high-speed, reliable web data extraction for AI agents or RAG pipelines. They serve different layers of the AI stack.
Buda vs Temporal Ai
Choose Temporal AI if you need industrial-grade durability for mission-critical workflows and AI agents that must never lose state—its open-source core and usage-based cloud make it ideal for engineering teams. Choose Buda if you're a founder or small team wanting a turnkey AI workforce with live sandboxes and plain-language tasking, accepting less fault tolerance but faster ramp-up. Both are freemium, so you can try both risk-free.
Buda vs Presto Voice
Presto Voice is the clear choice for QSR chains seeking to automate drive-thru ordering and boost revenue through upselling, with proven results like a 95% non-intervention rate. Buda is better suited for tech-savvy founders and small teams wanting to deploy coordinated AI agents for diverse tasks, but lacks restaurant-specific features. Choose based on your domain: drive-thru or general agent automation.
Alternatives to Buda
View all
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.
Frequently Asked Questions
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