# Release {{ release }}

{{platform_name}} {{ release }} is the OSS local-first launch for building,
optimizing, and securing AI agents. The release centers on a builder-agent
workflow: inspect an application agent, generate improvement suggestions,
validate the candidate with evaluation, and keep the artifacts in the local
platform.

## Agent-First Workflow

This release introduces the agent workflow as the primary path through the
documentation and product:

- Manage NeMo Agent Toolkit workflows with `nemo agents`.
- Optimize deployed agents with model swaps, Switchyard routing, skill
  optimization, prompt tuning, and new-model scans.
- Secure deployed agents by checking guardrail coverage and scanning recent
  telemetry for PII or leaked secrets.
- Store optimizer and security suggestions in platform files so Studio and CLI
  workflows can review the same state.

## Local Setup

The OSS {{ release }} documentation is scoped to local setup from a source
checkout:

- Run `make bootstrap` to create the Python environment, build Studio assets,
  and install local plugins.
- Run `nemo setup` to configure providers, the CLI, SDK, and optional agent
  skills.
- Run `nemo services run` to start or restart the local platform services
  directly.
- Use hosted providers such as NVIDIA Build, OpenAI, Anthropic, Google Gemini,
  Ollama, or a custom OpenAI-compatible endpoint.

Cluster, container, and legacy quickstart execution paths are outside the OSS
{{ release }} documentation scope.

## Platform Capabilities

Supporting capabilities provide the local runtime behind the agent workflow:

- Inference Gateway and virtual models route model traffic for agents.
- Files, Secrets, Entity Store, and Jobs provide local state and execution
  primitives.
- Guardrails add content-safety and policy checks to model endpoints.
- Data Designer, Evaluator, and Studio provide optional workflows for datasets,
  evaluation, and UI review.
