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ambient-ai

Here are 25 public repositories matching this topic...

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

  • Updated Jun 11, 2026
  • Jupyter Notebook

Self-evolving AI daemon in Go with fully generative UI. LLM generates unique HTML/ANSI interfaces from scratch for every response — not templates, not component catalogs. 10-stage pipeline, 4-level reflection, fractal agents, auto-generated code skills, 6 input channels.

  • Updated Apr 9, 2026
  • Go

Ambient AI VCP is a production‑ready system for running distributed AI workloads across diverse machines. It uses secure WASM sandboxing, supports federated learning, and verifies results with zero‑knowledge proofs to ensure correctness without exposing raw data.

  • Updated May 1, 2026
  • Rust

Heidi Health — Melbourne-based AI medical scribe (Scribe, Evidence, Remote, Comms) used by 1M+ clinicians; public Heidi API for sessions, transcription, consult notes, documents, Ask Heidi

  • Updated Jul 24, 2026

Augmedix is a San Francisco-based health technology company providing ambient AI medical documentation (AI scribe) services that capture patient-clinician conversations and generate clinical notes so that physicians can focus on patient care instead of EHR data entry. Founded in 2012, the company went public on Nasdaq in 2021 (AUGX) and was…

  • Updated Jul 13, 2026

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