Agentes de IA
agent-governance-toolkit
Policy, identity, and sandboxing guardrails for AI agents.
★ 6,4 mil estrelasMIT
Ver o guia →nono é um projeto de agentes de IA de código aberto de nolabs-ai (nolabs-ai/nono no GitHub). Tem 4.396 estrelas no GitHub e 298 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 5 de outubro de 2026.
nono: zero-trust, zero-setup, zero-latency sandboxing and runtime security for AI agents
Read the documentation's overview of what the sandbox restricts for agent processes.
Clone the repository (or follow the install path in the docs) for your platform.
Set up the zero-config defaults or adjust policies for your agent's needs.
Launch your agent under nono and verify its allowed actions work while restricted ones are blocked.
Runs AI agents in a restricted runtime environment by default.
Designed to protect agents without lengthy policy authoring up front.
Focuses on securing Model Context Protocol tool usage, a common agent attack surface.
Built by the team behind Sigstore, with supply-chain integrity in scope.
A native Rust codebase aimed at low-latency enforcement ('zero-latency' per the project).
Full documentation is published at docs.nono.sh (the repo README itself is minimal).
Clone the project and enter its directory.
git clone https://github.com/nolabs-ai/nono.git
cd nonoThe README at HEAD is a short header; installation commands live in the official documentation.
# see docs.nono.sh for the exact install commandLaunch your agent under nono per the docs and confirm restricted actions are blocked.
# see docs.nono.sh for the exact run commandnolabs-ai — described in the README as the team behind Sigstore.
Yes, it is Apache-2.0-licensed open source.
No — nono is a local runtime/security tool; it does not call model APIs itself.
Containers and VMs isolate at the machine level with more setup; nono positions itself as a zero-setup, agent-focused sandbox layer with MCP and supply-chain concerns built in.
See the quickstart at docs.nono.sh — the GitHub README is currently just a header pointing there.
Policy, identity, and sandboxing guardrails for AI agents.
Sync your AI coding setup: skills, agents, rules, MCP, hooks, everywhere.
The open runtime for AI agents — a Rust platform for running, governing and routing agents with TokenOps.
Snyk's security scanner for AI agents, MCP servers and agent skills.
Real-time voice runtime that keeps AI agents talking, working, and present.
Self-hosted AI vulnerability research: agents find, validate, deduplicate, and rank real security issues.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.