tx

Headless, Local Infra for AI Agents. Primitives, not frameworks.

The Problem

Your agents lose context between sessions. Tasks collide when multiple agents work in parallel. Learnings vanish into conversation history. You're rebuilding the same infrastructure every project.

The Solution

Composable primitives that handle the hard parts. You keep control of the orchestration.

┌─────────────────────────────────────────────────────────┐
│  Your Orchestration (your code, your rules)             │
├─────────────────────────────────────────────────────────┤
│  tx primitives                                          │
│                                                         │
│   tx ready     tx done      tx context    tx learn      │
│   tx claim     tx block     tx handoff    tx sync       │
│                                                         │
└─────────────────────────────────────────────────────────┘

Why Primitives?

The orchestration flow is where you create value. It encodes your domain knowledge:

• How your codebase works
• What your agents are good at
• Where humans need to intervene
• How you handle failures

If we dictate the flow, we're not a tool. We're a competitor. We don't know your domain, your constraints, or whether you need 3 agents or 30.

TanStack won by saying: "Here's headless table logic. Style it yourself."

tx says: "Here's headless agent infrastructure. Orchestrate it yourself."

Core Primitives

Get Started

Ready to dive in? Follow the Getting Started guide to install tx and run your first task loop.

Design Principles

• No opinions on orchestration. Serial, parallel, swarm, human-in-loop. Your call.
• Powerful defaults. tx ready just works. So does dependency resolution.
• Escape hatches everywhere. Raw SQL access, JSONL export, custom scoring.
• Framework agnostic. CLI, MCP, REST API, TypeScript SDK. Use what fits.
• Local-first. SQLite + git. No server required. Works offline.

Interfaces

License

MIT