INDEX
01Agent
If you are an AI agent that just needs AINL installed into your host stack, do not read these guides. Run the one-step install from the top of ../../AGENTS.md or ../../README.md.
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long prompt loops. AINL is a compact, graph-canonical, AI-native programming system for (READ: README)
Agent
If you are an AI agent that just needs AINL installed into your host stack, do not read these guides. Run the one-step install from the top of ../../AGENTS.md or ../../README.md.
Agent
This project is intentionally designed for multi-session, multi-agent development. Use this guide to continue work safely and efficiently across handoffs.
Agent
This path wires gateway env.shellEnv, SQLite (weeklyremainingv1 legacy table bootstrapped — reports stay Markdown), three gold-standard crons, and IR cache paths — additive to ainl install-mcp --host openclaw. Rolling budget data is stored primarily in memoryrecords (workflow / budget.aggregate / weeklyremainingv1)…
Agent
Deterministic graph-first DSL for AI-to-AI full-stack generation.
Agent
This file preserves local pre-merge content that previously lived in docs/QUICKSTARTOPENCLAW.md, so no local documentation work is lost during upstream guide consolidation.
Agent
This guide gets you from zero to generating OpenClaw automations in AINL within one session.