Run agents
Use native caveauAI agents for answers, research, drafting, support triage, and tool-assisted work under workspace permissions.
- Cited RAG from approved corpora
- Tool calls through governed MCP
- Run history and observability
Run, build, and govern
caveauAI Agents turns your documents, tools, and workflows into auditable AI systems: cited answers, human approvals, tenant-scoped tools, and managed setup when you want the first useful agent live without a long platform project.
Four ways in
The customer-facing promise is simple: start with a governed agent, then choose whether to build visually or with code as the work gets more serious.
Use native caveauAI agents for answers, research, drafting, support triage, and tool-assisted work under workspace permissions.
Map workflows and LLM flows in a visual builder, then bring the useful parts back into caveauAI governance.
Use LangChain and LangGraph when the agent needs state, branching, tests, and real software engineering discipline.
Package what an agent knows how to do into a governed, versioned skill any tool or MCP host can load — lint it for quality first.
Use-case chooser
A quick recommendation layer helps a buyer understand the stack without learning the names of every builder first.
Best when the work depends on your private documents and must stay cited, logged, and permission-aware. Add tools only after the answer flow is trusted.
Read-only public demo
This demo searches public Knowledge Exchange packages only. It cannot run tools, trigger workflows, send email, or access customer workspaces.
Customer packages
The product is not another empty builder. It is a route to a useful agent with the right knowledge boundary, approval model, and runtime choice.
Native governed agents for RAG, tools, drafting, support, and repeatable work inside the portal.
Apache-2.0 visual workflows with caveauAI nodes for search, ingestion, and governed tool calls.
Dedicated visual LLM flow builder for teams that want graph-style experimentation before governance.
Code-first stateful agents with a connection kit for all customers and hosted workspace by request.
Author, lint, and version reusable skills. 64 published skills across 5 client workspaces so far.
Book setup
Best first setup: one knowledge set, one business outcome, one approval boundary. The rest can grow after the first agent proves useful.