Show HN: AgentML – Deterministic AI Agents (MIT, Alpha)

3 comments

• gwillen85 2 days 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

  Docs + Demo: https://www.agentml.dev/

  What's your biggest agent pain point - framework lock-in, debugging, or compliance?

• jeffreyajewett 2 days ago

  Write once, run anywhere.

• zissoubluestar a day ago

  oh wow! Loving what I am seeing here <3