The fastest Trust Layer for AI Agents

Secure autonomous AI agent framework and platform. Build AI teams by describing what you want. Orchestrate agents that can do everything a human can do.

AI-native application framework and runtime, simply write a YAML file.

Benchmarked agent execution runtime for Python. Sub-10ms cold starts, real-time streaming, time-travel debugging, and self-growing tool libraries. Compare 3 sandbox backends: Docker (OpenSandbox), MicroVM, and in-process AST.

A self-evolving, AI-native language and platform for intelligent agents and autonomous software.

🦀 AI Desk Meter is a local-first physical desktop usage dashboard for AI coding tools. The first target is a small ESP32-S3 AMOLED display that shows current usage, weekly usage, reset timers, burn-rate warnings, and connection status.

ION: Context engineering & agent governance

The AI Contract Runtime

L0: The Missing Reliability Substrate for AI. Streaming-first. Reliable. Replayable. Deterministic. Multimodal. Retries. Continuation. Fallbacks (provider & model). Consensus. Parallelization. Guardrails. Atomic event logs. Byte-for-byte replays.

Universal schema-based runtime for prompts, skills, and AI composition. Framework-independent, portable, and enterprise-ready.

Public OpenCAS runtime snapshot and release docs: local-state agent runtime, dashboard controls, memory, scheduling, channels, and provider-routed model access.

Deterministic local-first AI operator runtime with receipts, replay, rollback, ranked memory, llamafile CPU driven execution, swappable intelligence cognition core, and sandboxed self-improvement.

Modular AI runtime platform for operational intelligence, RAG, orchestration, tooling, governance, and observability. Built with FastAPI, PostgreSQL + pgvector, Ollama, and enterprise DevOps integrations such as Jenkins and Nexus.

⚙️ Runtime Intelligence Architecture for Pattern-Oriented Compute, Continuity, and Adaptive Execution Systems. M-OS — Pattern Graph Runtime for Hybrid Compute (CPU / OpenCL / AI backends)

**Fully Local AI Runtime for Windows 11 — Modular, Offline, and Built for Safe Natural‑Language Automation.**

Mobile offline AI runtime for Android/iOS. Lightweight, modular, privacy-first architecture extending the SIRIUS LOCAL AI ecosystem into mobile devices. 100% offline, deterministic, family-safe.

Taichu Universe — AI Runtime Prototype. Five-layer cognitive infrastructure with semantic graph, vector search, real-time event bus, and multi-agent runtime. Not a RAG demo.

Per-action AI agent risk scoring and governance. Deterministic 5D scoring, HITL gating, FinOps, Agent Cost Management, Markov drift, audit log. Apache-2.0.

Run a 2-min local benchmark → predict how long your AI job will take on cloud GPU (T4/V100/A100). No guessing, no wasted money.

Official LAW-N Runtime Environment (LNRE) — a lightweight virtual machine and execution engine for LAW-N programs, time-aware instructions, and N-SQL operations. Handles bytecode, timing, routing, and runtime introspection for the LAW-N / Mind’s Eye cognition stack.