AI Client2025
Provides a terminal REPL that gives AI coding agents a persistent, structured context memory (a versionable context tree) which can be synced across machines. Distinguishes itself with local-first TUI workflows, Git-like versioning for knowledge, and broad multi-LLM and agent tool integrations; source-available under Elastic License 2.0.
AI Video2025
Timeline-based video editor for web, desktop and mobile that integrates AI-assisted workflows (MCP server and generative-model integrations) with a Rust core and plugin-first, cross-platform architecture; supports headless batch rendering and no-watermark exports.
AI Client2025
Web and mobile front-end for terminal coding agents — Claude Code, Cursor CLI, Codex, and Gemini-CLI. Drive live sessions from a browser with an integrated shell, file/Git explorers, and a plugin system. Self-host or use the managed Cloud option.
AI Infra2025
Provides a deterministic context and knowledge-graph layer under LLMs and vector stores to record auditable decisions, provenance, and explainable rule-based reasoning. Supports polyglot graph storage, W3C PROV-O export, SHACL governance, and self-hosted enterprise connectors.
AI Client2025
Browser-based AI development platform that runs tasks inside isolated cloud development environments: natural-language agents read code, run commands, modify files, and integrate results back into Git. Key features include per-task sandboxes, multi-model selection, and an enterprise private-deploy option.
AI Agent2025
Chinese-enhanced fork of TradingAgents that runs multi-agent LLM stock analysis for A-share, HK and US markets, adding domestic models (Qwen, DeepSeek) and local data sources (Tushare, AkShare, BaoStock), with report export to Word and PDF.
AI Agent2025
Terminal coding agent forked from Google's Gemini CLI, retuned for Qwen3-Coder with a custom parser and tool protocol. Runs against OpenAI, Anthropic, Gemini, Qwen or local models, and adds subagents, agent teams, auto-memory and MCP.
AI Client2025
Source code for the GitHub Copilot Chat extension in VS Code: inline chat, an agent mode that plans and edits files autonomously, next-edit suggestions, and MCP integration. Open-sourced so developers can study how Copilot connects to an editor.
Teaches agent harness engineering — the permissions, memory, persistence, and coordination layer that lets an LLM act — across 20 progressive lessons, each adding one mechanism with standalone runnable code. Chinese-first, plus English and Japanese.
AI Infra2025
Stores a pruned proximity graph instead of all embeddings, recomputing vectors on demand at query time. A 60M-doc index takes 6GB, not 201GB (97% less), at comparable recall. Powers private local RAG over files, mail, chat, and browser history.
AI Train2025
Forecasts financial candlesticks (OHLCV K-lines) with a decoder-only transformer pre-trained on 12B+ records from 45 exchanges. A tokenizer turns market data into discrete tokens, enabling price/volatility forecasting and synthetic K-line generation.
Official, runnable examples for Amazon Bedrock AgentCore, AWS's framework- and model-agnostic platform for deploying AI agents. Spans Runtime, Memory, Gateway, Identity, and Observability through notebooks, code, and infrastructure templates.