All Projects

Bract

Planning

The Vercel for AI Agents

One CLI command to deploy an AI agent with persistent memory, built-in observability, and automatic scaling — all for under $20/month.

AI Infrastructure Changelog Source
Bract landing: The Vercel for AI Agents — deploy agents with memory, tracing, evals, MCP hosting, and scale-to-zero

Key Features

  • One-command deployment with `bract deploy`
  • Persistent vector memory built in
  • Full observability with trace visualization
  • Auto-scaling from zero to thousands of concurrent agents
  • Secrets management and environment isolation

Built For

AI engineers and indie hackers building autonomous agents

Vision

Bract collapses the fragmented AI agent deployment stack — compute, vector DB, observability, scheduling, secrets — into a single platform. Today, deploying an agent to production requires stitching together 5-7 separate tools at $200-500/month minimum. Bract makes it bract deploy and you're live.

The Problem

AI agents are the fastest-growing category in developer tooling, but the deployment story is terrible. Developers spend more time on infrastructure than on agent logic. The current stack requires a cloud provider, a vector database, an observability platform, a job scheduler, and custom DevOps glue.

Key Differentiators

  • Memory-first architecture: Every agent gets persistent vector memory out of the box, not as an add-on
  • Agent-native observability: Purpose-built tracing for multi-step agent workflows, not repurposed APM tools
  • $20/month starting price: 10x cheaper than assembling the equivalent stack yourself
  • Framework agnostic: Works with LangChain, CrewAI, AutoGen, or your custom agent code