Inside a governed product agent.
Sarva architecture explained: product packs, session authority, ToolGateway, approvals, persistence, checkpoints and inspectable execution.
Read the full guideSarvaAgent framework
Give intelligence room to act. And boundaries to trust.
A governed framework for product agents—with tool access, approvals, persistence and traceability built into the runtime.
For teams building agent-native productsTalk technology
Intelligence with oversight.
Agent framework / DataVedam
An agent needs more than a model.
Useful agents operate inside a product, with users, permissions, memory and consequences. Sarva provides a reusable host and governance layer so product teams can define domain behaviour without treating every action as an unrestricted model instruction.
Get to know
Sarva.
Go inside the work: the inputs, decisions and implementation details that turn a product description into an informed evaluation.
Built for the
work around it.
For teams building agent-native products.
Host product agents
Use a product-neutral host/runtime and Pack SDK to package domain behaviour behind published contracts. Keep product-specific logic separate from the reusable framework.
Govern tool access
Route consequential actions through a controlled tool boundary. Bind execution to permissions, approvals and idempotency rather than exposing raw capabilities to an agent.
Carry state forward
Use persistence, checkpoints, scoped memory and worker surfaces to support work that extends beyond a single conversational response.
Leave an inspectable trace
Connect plans, decisions, handoffs and action evidence. Give engineering teams a way to understand what ran and where human review was required.
A purposeful path
from idea to action.
A framework for the implementation conversation.
- 01
Define the product pack
Describe the domain behaviour and published capabilities.
- 02
Bind the authority
Establish the user, session, permissions and tool scope.
- 03
Review and execute
Route approved actions through the governed gateway.
- 04
Persist the evidence
Record outcomes, checkpoints and the information needed for the next turn.
Inside an implementation.
Concrete workflows to explore with your team. The scope and connections are agreed around your environment.
Add a governed agent to a product
An engineering team is building a conversational experience that must do useful work inside a product. Model responses alone cannot define who is allowed to read data or perform an action.
- Package domain behaviour and capability contracts
- Bind the session, user and permitted tools
- Route consequential actions through the governed gateway
- Record execution and return an inspectable outcome
What you’re working towardA product-agent integration whose authority and action boundaries can be examined independently of its conversation.
Support work across more than one turn
Some tasks need a pause, a review or a later continuation. The runtime needs to preserve the right context without turning every remembered detail into unrestricted authority.
- Persist task state and relevant checkpoints
- Keep memory scoped to its product and session context
- Resume work through the approved runtime interfaces
- Use traces and action evidence to review what happened
What you’re working towardA structured continuation path with persistent state, scoped context and a record of the actions taken.
People stay in the pictureUseful intelligence.
Useful intelligence.
Considered control.
- Keep authentication and session authority explicit.
- Require approval where the action policy demands it.
- Avoid duplicate external effects through idempotent execution.
Make it fit
your world.
A useful walkthrough starts with the people, information and systems involved in your work.
The product boundary
Bring your agent use case, existing application authority and required actions. Identify what belongs in the product pack and what the host/runtime should govern.
The integration boundary
Review authentication, sessions, tool contracts, persistence and worker needs. Sarva includes a NOOA binding and Karta-related dependencies; product-specific adoption is explicit, not assumed.
The evaluation boundary
Trace one allowed action, one approval-requiring action and a resumed task. Inspect execution evidence, permissions and duplicate-effect prevention in the intended integration.
A few good
questions.
Something more specific?
Talk to our team.
Is Sarva a model?
No. It is an agent framework and governed product runtime. Model and conversation capabilities are bound through the runtime's interfaces; they are not a replacement for product authority and permissions.
What does it build on?
The implementation includes a NOOA binding and related Karta package dependencies. Sarva adds its product hosting, governance, persistence and pack surfaces around those building blocks.
Does every DataVedam product already run on Sarva?
This page makes no such claim. Adoption is product-specific. Sarva has an executable framework and external product-pack interfaces, but a portfolio-wide migration is not implied.
How can our engineering team evaluate it?
Request a technical walkthrough of the framework boundary, pack model and the actions your product needs to govern. Distribution and integration are scoped with the team.
Start with the right scope.
Available for a technical evaluation conversation. Private framework distribution and product integration are scoped with DataVedam.
Your next chapter
What could we
make possible?
Bring us the work that matters.
We’ll find the right place to begin.