Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default, cloud by choice. Offline AI memory (taOSmd), self-hosted multi-framework group chat, a full web desktop + app store, and auto-clustering across the consumer hardware you already have (Orange/Raspberry Pi, Mac mini, gaming PC).
量化分析
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
Python and TypeScript SDKs for verifiable evidence of AI agent actions. Signed receipts, policy enforcement, audit trails. Works with LangChain, CrewAI, MCP.
From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.
SparkDiffusion: Accelerating DiT video generation by 265× via joint Sparsity, Distillation, Quantization, etc.
ai + quantative trading
BootLoops 1.0: certified computational tools and house engines for exact and high-precision physics and quantitative science, built to be driven by LLM agents. MIT; docs CC BY 4.0.
结合多大模型分析与确定性代码风控的自主量化交易系统 | Autonomous crypto trading system with multi-LLM analysis, deterministic Python risk control & OKX execution.
A data platform for investment research. Ingests financial data sources and computes point-in-time financial metrics for valuation and screening. Delivered as an MCP server.
面向 AI Agent 的可溯源 A 股板块研究 Skill,贯通政策、权威媒体、市场资金、公司与 ETF,支持实时查询、研究编排和二次应用开发。
Evidence-grounded cryptographic inventory and post-quantum migration planning for software repositories. Local static analysis, zero mandatory runtime dependencies, SARIF and CycloneDX output.
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
Phonon: open speech recognition models (Phonon-2, Phonon-1) — CLI, CPU and CUDA images
Qwen 3.8 27B ROCmFP4 on AMD Strix Halo (Ryzen AI Max+ 395). Up to 36 tok/s via MTP Speculation, TurboQuant & Mesa RADV Wave64.
Deepseek HARNESS Quant — A股低频量化决策系统(Pitch决策链 + 因子引擎 + 五池远期验证 + HARNESS 嵌入)
An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.
Finathink — Financial Research Optimizer for auditable, point-in-time research, mathematical learning, and constrained portfolio analysis.
Official implementation of QuaNAG: LLM-driven Memory-bounded Neural Architecture Generation via Quantization-branched Exploration
A toolkit for streamlined Quantum Espresso workflows—from input preparation to post-processing.
Kyojin: the Yamz inference engine for AMD Strix Halo (ROCm, gfx1151), built on ExLlamaV3. Runs 300B-class MoE models on one 128 GB mini PC.
Hand-written NVFP4 W4A16 CUDA kernels for Volta
多市场智能量化工作台(A股/港股/美股)— 基于 shy3130/tickflow-stock-panel 二次开发,新增港美股多市场支持。自托管选股+监控+回测。MIT。
EvoQuant is a self-evolving AI research agent specialized in quantitative investment research. It runs the full research loop autonomously
Community registry of LLM serving-path traps that produce confidently wrong measurements: templates, tool parsers, reasoning fields, quant kernel paths, CUDA toolchains, KV allocation, eval harnesses, versioning. Symptom-first, with the check that catches each.
本地运行的A股/美股多策略选股、模拟交易与风控提醒工作台|Local-first and read-only
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Qwen3.8-Flash-Next on 2× RTX 3090: with 128 GB RAM up to 4,191 tok/s prefill · 111.5 tok/s decode (131K prompt), full 256K window at 2,865 tok/s; with 64 GB RAM 3,410 tok/s prefill · 84 tok/s decode. New: opt-in uncensored mode (runtime abliteration, no new weights).
Open-source two-venue perp arbitrage bot for entropy exchange.
WeeLLM runs large diffusion models with as little as 4 GB of VRAM, without any quantization. It dynamically determines how many layers can fit within the available VRAM and streams the text encoder and transformer layers to the GPU layer by layer, enabling inference on hardware with limited VRAM. It supports both safetensors and GGUF models.
Quantum Cryptography Simulation and Experimentation Platform
A platform for finding, testing, reducing, and evaluating compiler failures across the quantum software stack.
Agentic quant research workbench with CSV data inspection, local Codex and compatible APIs, predictive models, independent reviews, and reproducible backtests.
大V基金交易量化分析,基于移动端数据采集、LLM 结构化解析与历史行为分析的基金大V AI量化分析系统。自动采集大V每日交易行为,识别买入 / 卖出 / 定投 / 转换,并结合历史数据分析资金变化、行为趋势与方向共识。
Deploy, monitor, and tune LLM through a visual interface — plus image / video generation on top of ComfyUI.
road feature coverage with explicit compatibility contracts and causal defaults. Formula parity is tested family by family.
[Public preview] The first public quant trading benchmark scored against what professional traders actually made on the same asset
STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization
Breeze TTS 2 nodes for ComfyUI: voice clone, voice design, and voice direction with bilingual (EN/ZH) speech, inline vocal events, INT8 ConvRot quantized builds, and full ComfyUI / AIMDO dynamic-VRAM integration.
Modular routing and advertising blocklists for Quantumult X.
High-performance Lemonade alternative for AMD Strix Halo & Radeon — latest MoE models (Ling-3.0-Flash, Qwen 3.8 Flash Next, Ornith 1.5), bleeding-edge RDNA 3.5 Wave64/ROCmFP4 kernels, and silicon-tuned profiles.
Bonsai 2 27B: 262k context (trained max) on 12 GB, 54 to 97 tok/s decode, 2x prefill, q8_0 KV recipe, grammar tool calls 9/9. Same ternary weights. Windows bundle + receipts.
Open Quantum Application Research Package
High-speed parallel stream engine & local web dashboard for streaming HTTP/HTTPS downloads directly to PlayStation 5 FTP storage. Pure Python standard library, zero pip packages, macOS & Windows.
Auditable multi-agent A-share factor research, knowledge base, long-only backtesting, AutoCombine and QuantCombine.
559 K パラメータの日本語 TTS を ESP32-S3 で実時間合成。漢字かな交じり文の形態素解析・アクセント推定まで端末内で走る(M5Stack CoreS3 実機で確認)。推論は依存ゼロの C99、ブラウザ demo あり。arXiv:2608.21378 sanoTTS の日本語 clean-room 再実装。⚠️ コードは MIT ですが、配布モデルの重みは MIT ではありません(LICENSE-MODEL.md。出力に用途制限が伝播します)
PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers
A curated guide to the tools traders actually use: market data APIs, brokerage and exchange APIs, crypto and on-chain analytics, forex platforms, charting, backtesting, and automation. Compare features, markets, pricing, and Python, Go, and PHP SDKs to build reliable, repeatable trading workflows across global markets
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👑 Enterprise-grade, high-frequency quantitative scalp trading engine for XAUUSD (Gold). Driven by PyTorch (TCN + Self-Attention), Smart Money Concepts (SMC/ICT) , Win32 C++ MT5 IPC bindings, and a real-time FastAPI Canvas Web Dashboard.
An environment where open models work as agents: a first-level harness with routing, skills, memory and sandboxed tools, on an engine that drafts and verifies its own tokens.
Run a 28.9M-parameter TinyLM on ESP32-S3 with an RP2040 OLED display node for fully local embedded AI inference.
大QMT 直连的多账号持仓监控与下单面板:主动查询、当场报单、服务端风控闸门,完整支持可转债。交易通道走 xtquant_big_convert。
Serving 4-bit Qwen3.8-27B on a single DGX Spark (GB10): 75 tok/s single-stream, 246 tok/s aggregate at 8-way concurrency. NVFP4 vs MixedInt4-AutoRound vs the FP8 baseline, measured on one harness — including why the quantization advantage collapses to +0.2% by c16.
Multi-sport data science Agent Skills library. Portable judgment for sports modeling — doctrine, validation, leakage control, and honest evaluation.
一套面向 Stash、Loon、Shadowrocket、Surge、Quantumult X 和 Egern 的分流配置。
500+ algorithmic-trading skills for AI coding agents in the agentskills.io format. Every skill ships a working Python reference implementation and its own tests - 20,291 in CI. Broker APIs, backtesting, risk, execution, ML, compliance and 10 more domains. Apache-2.0
Bonsai-27B x NInfer local deployment project (RTX 5080, ternary quantization)
抖音海外 IP 属地精确分流规则:针对 IP 检测接口进行代理,同时其他资源全部直连。多端主流代理软件全支持,模块化接入,附小白教程。
Local AuK Base and AuK-Flash speech generation, voice cloning, editing, enhancement and separation. Uses ComfyUI model management, attention and quantized operations.