Zero-dependency local-first AI memory engine: graph memory, multimodal ingestion, reranking, temporal reasoning, hash-chained ledger, capsule compression, memory formation + runtime layers. 52 MCP tools (41 native + 11 compatible). MIT.
A self-hosted AI agent runtime with WebUI, MCP tools, context governance, and Record & Replay for deterministic execution & evaluation.
Community Core ML runtime, Swift SDK, and iOS/macOS samples for Irodori TTS v4.1 Small MF.
Open Drex decision models: runtime, docs and model pages
A small, multi-architecture OpenSandbox runtime for production AI agents.
DLSS 5 AIO — official NVIDIA DLSS DLLs (310.7.129) + DLSS 5 Neural Rendering runtime + DLSS5-Swapper & DLSS5-Feeder: DLSS 5 on any game (64/32-bit, D3D9, Vulkan)
An open-source agent runtime inspired by OpenAI’s Dots: persistent AI agents that pursue goals, react to events, and keep work moving 24×7.
Learn AI agents from first principles to production. Zero mandatory dependencies, pure standard Python 3.11+, and no magic frameworks.
The gate between an AI agent and real money. Runtime authorization for financial AI agents: structured intent, deterministic policy, human approval, execute-once gateway, tamper-evident receipts. Open core, Apache-2.0.
离线可用的本地类型化决策:4 核 CPU 单题 15.6ms。Local & offline Jev / System One inference on CPU — ONNX + INT8, no torch at runtime. 支持 laya / kev / PlayJev
Benchmarking headless browsers as agent runtimes
CPU-friendly sidecar that OCRs paperless-ngx documents with PaddleOCR PP-OCRv6 and writes text back via the API.
Reproducible Codex Room roles, isolated runtimes, and Paseo fork setup.
EvoHarness-RL: Learning Runtime Harness Coordination for Self-Evolving Agents
WiFi CSI human sensing for Python presence, fall detection, breathing rate, activity classification, and occupancy counting from an ESP32. No camera, no cloud, no PyTorch/CUDA at runtime.
Serve EXL3 (ExLlamaV3 trellis) quantized models on vLLM fork runtimes — any architecture, mixed per-layer bitrates, composable with source-format non-routed weights
Specialist AI agents for Stellaris empire governance, brokered execution, and version-bound native Command research.
Package manager for AI agent assets — 42 skills, 5 CLIs, 1 plugin. Skills for AI/LLM agent engineering, eval-driven dev, spec-driven dev, database (MySQL/PG/Redis/Kafka/Mongo/Oracle/NL2SQL), K8s/Docker diagnostics, infra ops (Dify/Nexus/Harbor/SonarQube) & docs/patent. Runtimes: Codex, Claude Code, Cursor, Kiro, DSH.
Skills for running, porting, profiling, and tuning code on Intel CPUs, GPUs, and the libraries and runtimes behind them.