TradingAgents: A Multi-Agent LLM Pipeline for Trading Decisions
How a LangGraph state machine orchestrates analysts, debators, and managers to produce a grounded, point-in-ti
How a LangGraph state machine orchestrates analysts, debators, and managers to produce a grounded, point-in-ti
How Adrian captures agent actions and reasoning, classifies them with a local LLM, and blocks or holds risky t
How a multi-package Python monorepo composes LLM components into runnable pipelines and agents.
How a Unix-socket leader, actor-based sessions, and a dual-mode workspace crate combine into a TUI/headless/AC
How HAMi shares GPUs, enforces memory limits, and schedules across vendors without changing your application c
How Crews and Flows give you both flexibility and control in production multi-agent systems.
How the registry pattern, ColossalAI integration, and data pipeline fit together to make text-to-video researc
How a Python app chains LLMs, TTS, stock footage, and MoviePy to turn a topic into an MP4
How Tencent’s lightweight video generator packs training, inference, and fine-tuning into one open-source code
Tracing the path from browser to GPU: graph validation, caching, and VRAM management.
How the open-source suite structures pipelines, models, and distributed inference for text-to-video.