AI Workforce 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 work around one AI workforce.
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 an AI workforce.
Buda combines persistent context, cloud execution, connected tools, and reviewable outputs so teams can move from one-off prompts to repeatable agent workflows.
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 first workspace in 30 minutes.
Pick one workflow, add real context, assign agents, and review the first artifact before you expand.
Start with the workflow that keeps losing context.
Pick one workflow with repeated inputs, a visible owner, and a reviewable output. Buda gives that workflow agents, memory, tools, and a shared review path.
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 one AI workforce, then expand.
Use one concrete workflow first. Once the team trusts the output, expand to more agents, tools, and teammates.
Choose one workflow
Start with a workflow that already has clear inputs, a responsible owner, and a reviewable output.
Load real context
Add the files, URLs, docs, Git context, notes, CRM records, or reports the agents need to do useful work.
Assign agent roles
Create a small pod: researcher, builder, verifier, reviewer, or updater. Keep the first scope narrow enough to inspect.
Review and reuse
Review the artifact, adjust the workflow, then reuse it for another teammate, account, report, or release.
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.