The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, ISO 27001 and NIST AI RMF. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR

A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity models, newsletters, principles, podcasts, regulations, reports, responsible scale policies, tools and standards related to Responsible, Trustworthy, and Human-Centered AI.

Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via DLL injection and CLI wrappers.

The Keystone Framework for AI-Driven Code ! Turn any AI coding assistant into a disciplined, project-aware engineering partner that respects your architecture and coding standards

OSS AI supervisor Agent, for AI lifecycle. 🦸‍♀️Intelligent E2E oversight & compliance for trustworthy AI.

Open-source toolkit for responsible AI: CLI + SDK to scan code, collect evidence, and generate model cards, risk files, evals, and RAG indexes.

Monitor, detect, and analyze security threats and Shadow AI in your LLM applications with comprehensive analytics and real-time alerting.

Project to facilitate creation of Assurance Cases

AxonFlow — Source-available AI control plane for production LLM systems

ArifOS — ΔΩΨ-governed constitutional kernel for AI agents.

The first autonomous coding agent with an immutable constitution and universal workflow pattern

A beginner-friendly AI Governance & Risk Toolkit — risk register, governance templates, and audit-ready workflows for early-stage AI teams.

Open-source desktop agent for monitoring AI tool usage across your organization. Book a demo at oximy.com

An AI-powered simulation project that models and visualizes potential futures in real-time.

A long-form systems essay arguing that machine learning fails when used as an automated decision-maker in unstable environments. It reframes ML as an early-warning instrument that exposes pressure, instability, and shrinking intervention windows, preserving human judgment instead of replacing it with late, brittle decisions.

Proof of Human Intent (PoHI) - Cryptographically verifiable human approval for AI-driven development

AURA is a universal constitutional AI framework with quantifiable ethics. Created by Mackenzie Clark (Sovereign Architect). Works across any LLM without retraining. Three metrics—Trust Entropy, Value-Transfer Ratio, Purpose Alignment—guide decisions. Includes Vector Inversion Protocol.

Design-time compiler for AI agents that turns intent into reviewable, governable agent architectures (no runtime execution).

faramesh-core