AINativeLang
Compile AI agent workflows to deterministic graphs
2 followers
Compile AI agent workflows to deterministic graphs
2 followers
AINL turns messy prompt loops and brittle multi-agent orchestration into clean, deterministic graphs. Define workflows in a tiny DSL → get compile-time safety, clean per-node context, and emit to LangGraph, Temporal, or any runtime. Built-in visualization, MCP integration for coding agents, and big token/energy savings.Human-initiated + co-developed with AI agents. https://github.com/sbhooley/ainativelang
If you're using OpenClaw -- Another option is using openrouter free models. Super useful if you're trying to save on LLM token costs: https://www.ainativelang.com/learn/how-to-openclaw-openrouter-free-models +++ If you have your OpenClaw AI download and install v1.2.8 of AI Native Lang (FREE/Open-Core!), then you can have it utilize our tailored setup to save you up to 90-95% on token costs/usage. AI Native Lang turns messy prompt loops into structured workflows that are auditable, predictable, repeatable, and efficient. Once you have your AI create AI Native Lang program once, it can run over and over again with 0 token or LLM usage. We already have this in production with many use cases! Just have your bot follow this for setup and install https://www.ainativelang.com/learn/how-to-install-setup-openclaw