The fastest Trust Layer for AI Agents
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Updated
Feb 3, 2026 - Python
The fastest Trust Layer for AI Agents
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference — in pure Python with async/await.
AI-native application framework and runtime, simply write a YAML file.
An AI-native OS. Models run on your own hardware, nodes federate peer-to-peer with no broker, and the API is OpenAI-compatible. Boots, has its own Wayland compositor, and runs on 8GB. Apache 2.0.
The agent that learns how you decide - and proves it by never deciding for you. A local-first, loop-native runtime for a team of AI agents on your machine.
Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code
An AI-powered workforce platform that executes multi-agent tasks with automatic provider failover and CEO agent orchestration. It detects technology stacks across 1,000+ platforms and provisions industry-specific specialists while running on customer hardware with no data leaving their network.
A self-evolving, AI-native language and platform for intelligent agents and autonomous software.
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.
Sparsify by Daylink — run MoE models bigger than your RAM: expert weights page from SSD on demand, byte-identical output. Mixtral 26GB in 3.3GB RSS on a MacBook Air.
🦀 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.
Software still in Open Beta, Internet browser fully working, Most thing work now and still patching it up. Please give stars and share.
The epoch-making Agent Runtime OS. Features Zero-Trust firewalls, Omni-Memory Graph, dynamic MCP/Skills pre-filtering.
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.
The AI Contract Runtime
ION: Context engineering & agent governance
Local-first AI runtime that routes 10k+ solver descriptors at warm p99 0.05 ms (1000/1000 hits, zero fallback) and spawns 1004 live agent clones in 120 s. Hex-mesh routing, MAGMA-audited provenance, agent-bridge autonomy fabric. Profile S (fully offline) or Profile L (opt-in cloud). BUSL.
Per-action AI agent risk scoring and governance. Deterministic 5D scoring, HITL gating, FinOps, Agent Cost Management, Markov drift, audit log. Apache-2.0.
Deterministic local-first AI operator runtime with receipts, replay, rollback, ranked memory, llamafile CPU driven execution, swappable intelligence cognition core, and sandboxed self-improvement.
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.
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