End-to-end spoken language understanding toolkit: a small trainable neural audio codec with RVQ, joint intent-and-slot models over speech features, streaming partial intents, a speech-LLM instruction data pipeline, and turn-level evaluation with reproducible reports. NumPy core with a CPU-only torch extra; synthetic data only, fully offline.
The gate between an AI agent and real money. Runtime authorization for financial AI agents: structured intent, deterministic policy, human approval, execute-once gateway, tamper-evident receipts. Open core, Apache-2.0.
PromptForge scores LLM prompts across seven quality dimensions, then rewrites weak prompts into clear, intent-preserving instructions
The outer loop for coding agents. Define intent in a Plan, let the agent run, and check every pull request against it.
HINT: Human-Intent Inception for Long-Horizon Robot Manipulation
An AI Skill that teaches agents when to ask and when to just do it β minimal questions, no requirements interviews. Beginner-friendly.
Software, by reflex. An open runtime that turns human intent into inspectable plans across small, composable programs, with explicit permissions and human approval before irreversible actions.
Claim-Driven Development: turn software intent into verifiable evidence.