AI Agent Workspace for Teams.
Buda is a cloud-native AI agent workspace where teams run persistent agents with shared memory, files, Browser, Terminal, Git, and human review in one place.
Agents keep starting from scratch.
Agents lose the previous files, decisions, account notes, code changes, and review comments that make the next run useful.
Real work needs browser research, terminal output, Git diffs, Drive files, CRM records, and docs.
One person runs the agent, another teammate reviews a summary, and a manager asks for proof.
Teams need briefs, drafts, tables, PR notes, CRM updates, and reports they can inspect before anyone acts.
Build a workflow around AI Agent Workspace.
One workspace for every agent
Each workflow gets a shared Drive, connected tools, agent roles, and a review queue. Researchers, builders, reviewers, and operators work from the same source context.
See the building blocks
Persistent memory from real work
Buda preserves the files, outputs, decisions, and prior runs that matter. Agents can continue a workflow instead of asking the team to re-upload the same context.
Start with context
Team review stays visible
Every meaningful output becomes an artifact the team can inspect. Owners, sources, status, and execution history stay close to the work.
See workflowsThe practical building blocks behind AI Agent Workspace.
Specialized agents. One shared workspace. Every output is a reviewable artifact, not a black box.
Persistent agent memory
Agents build on prior research, files, messages, decisions, and outputs across sessions.
Shared Drive context
Source files, drafts, outputs, and working documents stay close to the agents using them.
Cloud-native execution
Run agent work from the browser without managing local machines, self-hosted servers, or dedicated hardware.
Browser and terminal work
Give agents a workspace for web research, page inspection, file operations, commands, and technical tasks.
Git-aware engineering work
Keep diffs, issue context, test output, PR notes, and release artifacts in the same workspace.
Reviewable artifacts
Buda turns agent activity into briefs, drafts, tables, reports, CRM updates, PR notes, and action lists.
Spin up your ai agent workspace pod in 30 minutes.
Pick a workflow, assign the agents, watch the first artifact land. Free pilot — no credit card.
Start with the workflow that hurts today.
Pick one workflow with repeated demand, visible ownership, and measurable output. Buda gives that team agents, memory, tools, and a shared workspace.
Sales account research
Collect company context, buying signals, stakeholders, and past notes, then draft a reviewed account brief and first-touch message.
Start this workflowEngineering review prep
Inspect diffs, summarize risk, suggest tests, and prepare release notes from Git context and issue history.
Start this workflowOperations reporting
Gather dashboard exports, internal notes, and workflow exceptions into a weekly report with owners and next steps.
Start this workflowFounder research loops
Turn market pages, customer notes, competitor research, and product decisions into a living research workspace.
Start this workflowStart with one useful workflow, then expand.
Four weeks. One workflow. A clear, measurable outcome before you scale.
Choose one workflow
Start with Sales account research. Keep the scope narrow enough that the output is easy to review.
Assign agents and controls
Create the workspace, invite members, assign agents, define files, tools, and usage boundaries.
Measure output and spend
Review artifacts, credit usage, ownership, and execution history before expanding scope.
Expand or stop cleanly
If the workflow proves value, repeat the model in another team. If not, you still have a governed record.
Give your team one workspace for AI agents.
Start with one workflow, give it persistent context, assign the right agents, and review the first artifact in Buda.