Build AI agents without writing a line of code.
Buda is a no-code AI agent platform where operations, marketing, sales, and founder teams build and run persistent AI agents — without waiting on engineering.
Most teams can't build AI agents. They have to ask engineering.
Most non-technical teams can't configure a model API, write a prompt chain, or set up a server to run their agent in production. The result: a permanent backlog of AI requests in the engineering queue.
ChatGPT and similar tools are single-session. Business teams need agents that remember prior runs, files, and decisions — so the work compounds instead of resetting every Monday.
When a marketing manager wants to change the cadence of an outreach workflow, they wait for a sprint instead of editing a setting. The business moves slower than the tools allow.
Business teams can't deploy agents without a way to review output, control tool permissions, and audit what ran. Without that layer, adoption stalls at the security review.
An AI agent platform your whole team can run — not just engineering.
Build agents with a visual workspace, not code
Configure agents from templates, set the context sources, connect integrations, and define the output format — all from a visual interface. No prompt engineering, no API tokens, no terminal.
See capabilities
Agents remember context without infrastructure
Files, prior runs, and team context are stored in Buda's Drive automatically. No database, no vector store, no DevOps required. Agents build on previous work without re-briefing every time.
Start with context
Your team controls and reviews every run
Output artifacts land in a shared review queue before they reach a customer or system. Ops managers, not engineers, control which tools agents can access and what they can do.
See workflowsSix capabilities that let any team own their AI agents.
Buda gives business teams the building blocks to create, run, review, and improve AI agents without asking engineering to wire every workflow.
Visual workflow builder
Configure agent workflows with a visual interface — choose the trigger, set context sources, connect integrations, and define the output format. No prompt engineering required.
Agent template library
Start from pre-built templates for common business workflows — lead research, content drafting, weekly reports, CRM cleanup, onboarding flows, and more. Customize without starting from zero.
No-code integrations
Connect agents to CRM, email, calendar, Slack, Google Drive, and Notion with click-to-connect integrations. No webhooks, no API tokens, no developer support needed.
Persistent agent memory
Every file, prior run, and decision is stored in the team's Buda Drive. Agents continue from where the last run ended — without losing context or needing a re-brief.
Team review and approval
Every agent output lands in a shared review queue. The team approves, edits, or rejects each artifact before it goes to a customer, system, or stakeholder. Nothing ships without sign-off.
Cloud execution
Agents run entirely in the cloud — no local machines, no servers, no IT tickets. Business teams launch, schedule, and monitor workflows from the browser on any device.
Build your first AI agent in under 10 minutes.
Choose a template, add real context, run the first output, and review it with your team before expanding.
Four workflows any team can build and own without engineering.
Start with a repeated workflow that has clear inputs and a reviewable output. Buda turns it into an agent your team can manage.
Build a lead research agent
Select the lead research template. Connect your CRM and LinkedIn integration. Define the context you want researched. The agent runs for every new lead and drops a researched brief into the review queue — no engineering ticket, ever.
Build this agentAutomate a weekly report
Connect your dashboard and data sources. Set the report format and cadence. The agent pulls data, drafts the report, and queues it for manager review every Friday morning — without a single manual step.
Automate reportingCreate a content pipeline agent
Define the content type, tone, and source material. Connect the publishing tool. The agent drafts, queues for editor review, and publishes on approval — the full content pipeline without an engineering dependency.
Create this pipelineBuild a customer onboarding agent
Load the onboarding checklist, product docs, and customer context. The agent sends follow-up messages, tracks milestone completion, and flags at-risk customers for the CS team — automatically, at every stage.
Build onboardingBuild and deploy your first AI agent in four steps.
Start with one template, add your context, review the first output, then invite the team once the workflow is trusted.
Choose a template for your first workflow
Start with lead research, weekly reporting, content drafting, CRM cleanup, or onboarding. Pick a workflow with repeated inputs and a reviewable output.
Connect your tools and load your context
Add files, CRM data, docs, and integration access from the visual workspace. No API setup or server configuration required.
Run the agent and review the first output
Let the agent produce a brief, report, draft, or checklist. Your team reviews the artifact before anything reaches a customer or system.
Share the workspace and expand
Invite teammates, adjust cadence and permissions, then expand the agent to more workflows once the first one is trusted.
Your team can build and run AI agents. No engineering required.
Start from a template, connect your context, and review the first output in one shared Buda workspace.