> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://nemo-platform.docs.buildwithfern.com/nemo/platform/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://nemo-platform.docs.buildwithfern.com/nemo/platform/_mcp/server.

# v0.1.0 — 2026-05-20

First public release of NeMo Platform. This release establishes the
local-first OSS distribution and the core agent build, optimize, and secure
flow.

## Highlights

* Agent lifecycle managed end-to-end through `nemo agents` (create, deploy,
  invoke, evaluate, optimize, secure, undeploy).
* Optimize and secure deployed agents with sibling-candidate validation
  before promotion.
* Provider-agnostic Inference Gateway with virtual models and middleware
  (Switchyard routing, guardrails).
* Guardrails, vulnerability scanning, and evaluation available out of the
  box.
* Local-first install — `make bootstrap` + `nemo setup`, no cluster required
  for this release. Cluster and scale-out deployment are on the roadmap.

## What's included

### Agents

* `nemo agents` lifecycle commands (create, deploy, invoke, evaluate,
  optimize, undeploy, delete).
* NAT ([NeMo Agent Toolkit](https://docs.nvidia.com/nemo/agent-toolkit/latest/))
  workflows as the agent format.
* Sibling-agent candidate flow for applying optimization and security
  changes without editing a running agent in place.

### Models and Inference

* Inference Gateway: provider registration, virtual models, entity-name
  routing.
* Switchyard middleware: random routing for strong/weak splits, cross-format
  translation.
* Supported upstream providers: NVIDIA Build, OpenAI, Anthropic, Google
  Gemini, Ollama, generic OpenAI-compatible endpoints.

### Guardrails

* `nemo-guardrails` middleware applied via virtual models.
* Catalog content-safety, topic-control, and safety-guard models.

### Evaluation

* LLM-as-a-judge, similarity, RAG, and agentic metrics.
* Agent and model configuration as evaluation targets.

### Vulnerability Scanning

* garak-backed audits against models reachable through the Inference Gateway.
* Audit configs, probes, targets, and JSONL and HTML reports.

### Data

* Data Designer for synthetic dataset generation.
* Anonymizer for PII handling in datasets.

### Studio

* Workspace browser, agent list, and chat playground for deployed agents and
  models. The Studio agent build, optimize, and secure flow is in progress
  and not part of 0.1.0.

### Coding-agent skills

* `nemo skills install --agent <claude|codex|cursor|opencode>` installs
  platform skills for the supported coding agents.
* Agent-flow skills: `nemo-setup`, `nemo-explore`, `nemo-spec`,
  `nemo-build-agent`, `nemo-try-agent`, `agents-optimize`, `agents-secure`,
  `nemo-status`, `nemo-teardown`.

### CLI and SDK

* `nemo` CLI with auto-generated API commands plus use-case commands like
  `chat`.
* `nemo-platform` Python SDK, generated by Stainless from the OpenAPI spec.

## Install

```bash
git clone https://github.com/NVIDIA-NeMo/nemo-platform.git
cd nemo-platform
make bootstrap
nemo setup
```

See [Setup](/documentation/get-started) for prerequisites and provider
configuration.

## Compatibility

* Python 3.11–3.13
* macOS, Linux
* 16 GB disk, 8 GB RAM
* Node 22.18.0+ for Studio assets

## Current constraints

* **Local-only.** Cluster and scale-out deployment are on the roadmap for
  enterprise use; 0.1.0 supports a single local install.
* **Studio agent flow.** Studio ships with chat and workspace browsing
  today. The agent build, optimize, and security flows in Studio are in
  progress.
* **In-place agent edits.** The Agents v2 API has no patch operation.
  Config changes go through a sibling agent and redeploy.
* **Bring your own agent.** The platform's deploy and optimize paths target
  NAT workflows. NAT ships with a thin LangGraph wrapper, so LangGraph
  agents work first-class today. Agents from other frameworks need a thin
  wrapper to plug into NAT. Broader framework support is on the roadmap.

## Coming soon

* **Fine-tuning** (Customizer): model fine-tuning workflows on the platform.
* **Safe Synthesizer:** privacy-preserving synthetic data generation with
  differential-privacy guarantees.
* **Studio agent flow:** the build, optimize, and secure paths surfaced in
  the web UI.
* **Cluster and scale-out deployment** for enterprise workloads.

## Links

* Repository: [https://github.com/NVIDIA-NeMo/nemo-platform](https://github.com/NVIDIA-NeMo/nemo-platform)
* Issues: [https://github.com/NVIDIA-NeMo/nemo-platform/issues](https://github.com/NVIDIA-NeMo/nemo-platform/issues)
* NeMo Agent Toolkit: [https://docs.nvidia.com/nemo/agent-toolkit/latest/](https://docs.nvidia.com/nemo/agent-toolkit/latest/)