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.
Governed AI engineering control plane for local patch-test-verify workflows: explicit patches, allowlisted tests, tamper-evident receipts, verification summaries, and reviewable run bundles.
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.
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.
Structural Reliability Evaluation Report and Supporting Artefacts
Governance and 2 human reviewer protocol for Agentic Hedgefund Workflows
AI-assisted development of a Leaflet-based web mapping app using DYAD and a local LLM via Ollama.
Evidence-Based Resume Analysis & ATS Compliance Intelligence — Truth over Hype.
macOS computer-use sandbox for recording skills, generating novel action plans, and discovering UI flows with OCR, grounding, and vision models.
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