An educational AI coding agent CLI
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Updated
Nov 4, 2025 - TypeScript
An educational AI coding agent CLI
A LangGraph template for building AI agents with human-in-the-loop, conditional routing, observability (Langfuse), and a Reflex UI demonstrated through a travel planner use case.
Score the trustworthiness of outputs from any LLM in real-time
Governance beneath the model. Custody before trust. Open for audit. Constitutional Grammar for Multi-Model AI Federations, Firmware Specification • Zero-Touch Alignment • Public Release v1.0
Semantic Flow Language (SFL) is a framework that aligns human intent, AI reasoning, and executable logic. It ensures bidirectional synchronization between meaning and code, allowing for reliable, transparent, and verifiable AI-driven development across various environments.
Plug-and-play Human-In-The-Loop integration of agentic workflows
MCP governance proxy for AI agents — enforce rate limits, access control, human approval, and audit logging at the protocol level.
🤖 Streamline bookings and payments with our AI-powered chatbot, designed for customers and teams using advanced multi-agent architecture.
Execution OS with human approval gates and pressure-driven task control.
AWS-first, human-in-the-loop FinOps platform — turns cloud cost insight into approval-gated action using Amazon Bedrock Agents, FastAPI, and Next.js 15.
A chatbot with RBAC and Human-in-the-Loop used for booking purposes covering the research, plan formation, booking, payment. This is built for multiple users like - Booking customers, internal teams (finance, customer support etc..). Built with multi-agent two-layer supervised architecture in LangGraph powered by LLMs including openAI,Gemini, Ollam
Closing the idea-to-execution gap by letting you text your agent when inspiration strikes, anywhere, anytime.
AI-HPP-Standard: an inspection-ready architecture for accountable AI systems. Vendor-neutral. Audit-ready. High-risk gated. Developed via structured multi-model orchestration with human oversight. Designed to support emerging international AI governance.
Structural Reliability Evaluation Report and Supporting Artefacts
This sample workflow is designed to show how agents can migrate tax data in a way that is compliant with new regulations and include HITL.
AI-assisted development of a Leaflet-based web mapping app using DYAD and a local LLM via Ollama.
Governance and 2 human reviewer protocol for Agentic Hedgefund Workflows
Topogram is a spec-and-proof layer for controlled software evolution. It models the parts that should stay durable, generates contracts and runnable artifacts from that model, and keeps verification attached to the same source of truth.
An AI-powered multi-agent clinical copilot that automates patient verification, clinical documentation, and secure EHR workflows with human-in-the-loop control.
Fraud investigation tutorial across 9 phases — same 6 cases, progressively adding LangGraph, tools, HITL, multi-agent coordination, and LangSmith observability
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