A Discord API wrapper for Python and asyncio built on good intentions.
Intent compiler for AI agents — converges vague requests into typed IntentSpec contracts (probe, ask, or halt before routing), the input layer for routers and typed-decision models like Jev & Laya
On-device Speech-to-Intent engine powered by deep learning
Intents to be used with Home Assistant
This is a learning created by Omar Santos (@santosomar) for different Cybersecurity training sessions. It includes many intentionally vulnerable applications running in Docker containers and thousands of cybersecurity resources.
1207 public resources for Jev, TypeSafe AI's System One decision model, indexed by decision pattern. Source citations, dated link checks and scheduled call-site text checks; runtime and performance are not independently tested here. EN/中文, JSON schema and platform compatibility.
BadZure automates the deployment of intentionally misconfigured Entra ID tenants and Azure subscriptions, populating them with diverse entities and configurable, traversable attack paths.
微信聊天分析工具,支持本地 Laya 与 API 模型,提供意图识别、情绪感知、人物画像、群聊画像、好感度分析和 MBTI 聊天推测。
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models.
Claim-Driven Development: turn software intent into verifiable evidence.
Turn vague product or feature ideas into clear, checkable requirements before planning or coding—mapping rough descriptions to professional terms, exposing ambiguities, and aligning goals, flows, and boundaries. 这是一个需求澄清 Skill:把说不清的想法整理成一份清晰、可核对的需求清单,在执行任务前对齐目标、流程与边界等。
FACET synthesizes coherent and verifiable terminal tasks from reusable agent skills by preserving source intent and grounding all artifacts in a shared executable state.
Enterprise AI customer-service Agent platform featuring hybrid intent recognition, multi-agent orchestration, MCP-powered RAG, dynamic Skills, memory, human handoff, observability and evaluation. 小祥智能客服系统,支持可追溯、可观测与云端部署。
Whetstones Lab: measuring coevolution between adaptive malware and behavioral defense. De-weaponized research release — genomes, evolution rounds, telemetry, training harness (stubbed primitives), and lab range tooling. Payloads, real primitives, and C2 infrastructure intentionally withheld. Research and defensive use only.
Mini Program Engineering Skill Suite is an Agent Skill suite for evidence‑first mini‑program development. It helps agents bring WeChat or other mini‑program projects from vague intent to reliable engineering work: project intake, product specification, architecture, implementation, UI & device adaptation, debugging, verification, release readiness.
Tesla multi-intent in-car agent (RAG + Skills)
Intent-aware, planner-orchestrated AI communication agent powered by LangGraph and local Qwen3 via Ollama.
Agent skills from Xcode 27, packaged as a Claude Code plugin
🌿 神农觅 (ShennongMi) — AI-powered TCM knowledge navigator: Neo4j graph (19K+ nodes) × LangGraph 14-node workflows × self-correcting NL2Cypher × dual-model intent recognition (fastText + RoBERTa-LoRA, 99.75% accuracy). Supports TCM knowledge Q&A, automated RED content publishing, and interactive graph exploration.
InJepa: Intention First Latent State Planning with Coupled JEPAs for Visual Navigation. Code, Clean150 tasks and E12 checkpoint.
Agent Skills for working UX designers. Challenge ideas, find blind spots, use the real design system, preserve evidence and decisions, and carry UX intent into engineering.
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A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents — no embeddings, no vector database, no LLM calls. Companion code for the Towards Data Science article on intent continuity.
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.
HINT: Human-Intent Inception for Long-Horizon Robot Manipulation