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Show HN: AgentML – Deterministic AI Agents (MIT, Alpha)
- gwillen85 11mo ago<agentml xmlns="github.com/agentflare-ai/agentml" datamodel="ecmascript"> <state id="respond"> <openai:generate model="grok-4-fast-reasoning" promptexpr="`continue: ${conversationHistory(10)}`" location="_event"/> <transition event="done" target="send"/> </state> <state id="send"> <send event="output" data="_event.data"/> <transition target="respond"/> </state> </agentml> AgentML is an open-source XML language for building deterministic AI agents. Write once, run anywhere. The problem: LLM agents are flaky, locked to specific frameworks, and nearly impossible to debug or audit. The fix: Declare agent behavior in XML using state machines. State transitions are explicit, outputs are schema-bound, execution is traceable. Key features: * No hallucinated tool calls (structured outputs only) * Built-in memory (SQLite + graph storage) * 80% fewer tokens via runtime snapshots * CLI: amlx validate, amlx run * Swap models freely (OpenAI, Grok, Ollama) Install: curl -fsSL sh.agentml.dev | sh Run: amlx run chat.aml Runtime: Go/WASM (agentmlx). Coming soon: LangGraph export, Python SDK. GitHub: https://github.com/agentflare-ai/agentml https://github.com/agentflare-ai/agentml Docs + Demo: https://www.agentml.dev/ https://www.agentml.dev/ What's your biggest agent pain point - framework lock-in, debugging, or compliance?
- jeffreyajewett 11mo agoWrite once, run anywhere.
- zissoubluestar 11mo agooh wow! Loving what I am seeing here <3