Deploy in minutes. Zero DevOps hire.
Sandbox and deploy your database, agents, and backend — the same layer AgentOS and Anchor run on, straight from your vibe-coding environment. Same schema in your own VPC when you’re ready, roughly a third of the cost.
Infrastructure economics, not a spec sheet.
The value of Nyas isn't a longer feature list — it's the DevOps hire, the extra vendor bill, and the migration project you never have to run.
$0
DevOps hire avoided
No infrastructure engineer needed to run Postgres, pgvector, and object storage yourself.
1 bill
not three
Postgres, a vector database, and S3-compatible storage from one vendor instead of stitching three together.
Zero
migration steps
Start free in a shared sandbox. Move into your own VPC later on the same schema — nothing to rewrite.
The layer everything else in Formulate runs on.
Nyas doesn't hold your team's memory — Anchor does. Formulate's AgentOS runs deployed agent teams on it, and it's the same layer available to you standalone, to sandbox and deploy your own database, agents, and backend.
AgentOS
Deployed agent teamsRuns your department agent teams — Revenue, Marketing, and the rest.
Anchor
Shared memory & contextHolds the memory every agent and every AI coding session reads from and writes to.
Nyas
Managed Postgres · pgvector · object storageThe database and storage layer AgentOS and Anchor are both built on.
Sandbox first. Production when you're ready.
Cursor, Claude Code, and Windsurf are powerful — but a wrong migration against production is catastrophic. Nyas gives every developer and AI tool a safe, isolated Postgres environment first.
Spin up a full Postgres + pgvector environment in under 5 seconds. Clone your schema or start fresh.
Paste the MCP connection string into Cursor, Claude Code, or Windsurf. They connect natively — no drivers, no config.
Move the same schema into your own VPC when you're ready for production. Nothing to migrate, nothing to rewrite.
From sandbox to production infrastructure.
Build with AI. Never touch production.
Your AI coding tools need database access to build. Give them a sandbox, not your production database.
- ✓Instant sandbox in seconds — no config
- ✓Full Postgres + pgvector — identical to prod
- ✓MCP native: AI tools connect directly
- ✓Reset, clone, or destroy anytime
The infrastructure your platform team doesn't have to build.
Nyas is the same managed Postgres, pgvector, and storage layer that runs Formulate's own AgentOS and Anchor deployments — available standalone for teams that don't want to run this infrastructure themselves.
- ✓Multi-tenant isolation out of the box
- ✓Powers AgentOS and Anchor in production
- ✓HIPAA / GDPR ready — self-host option
- ✓99.9% uptime SLA · Postgres + object storage
Everything the database layer needs to handle.
Full Postgres with pgvector built in. Structured data and vector embeddings in one place — no separate vector database to run.
Cursor, Claude Code, and Windsurf connect directly. Your AI tools query and manage the database without a line of config.
A complete Postgres environment in seconds. Clone your schema, test migrations, let AI tools build freely — safely.
Each tenant gets a fully isolated schema — the same isolation AgentOS and Anchor run on in production.
S3-compatible storage for embeddings, documents, and agent artifacts, provisioned alongside the database.
Managed sandbox, your own VPC, or fully air-gapped. Your data never has to leave your infrastructure.
Start free. Scale when ready.
Sandbox
For builders and vibe coders
- ✓1 database
- ✓Up to 1GB storage
- ✓MCP access
- ✓pgvector included
- ✓Community support
Pro
For teams shipping AI products
- ✓Unlimited databases
- ✓50GB storage
- ✓MCP access
- ✓Multi-tenant isolation
- ✓Point-in-time recovery
- ✓Priority support
Enterprise
For organizations with compliance needs
- ✓Self-hosted option
- ✓Air-gapped deployment
- ✓HIPAA / GDPR ready
- ✓SSO + RBAC
- ✓Dedicated support
- ✓SLA guarantee
Free sandbox today. Zero migration when you outgrow it.
Ready in seconds, no card required. Move into your own VPC on the same schema whenever you’re ready for production.