AI Infra2017
Manages polyglot monorepos by caching unchanged outputs and running only affected tasks. Built with Rust and extensible in TypeScript; includes integrated CI features (remote caching, task distribution) and AI-native tooling such as a CLI optimized for autonomous agents and self-healing CI.
AI Agent2019
Open-source Airtable alternative for building databases, apps, automations, and AI agents without code over a PostgreSQL-backed REST API. The Kuma assistant turns plain language into tables and workflows; self-hostable with full data ownership.
Chatbot2019
Consolidates customer conversations from website chat, email, social and messaging channels into a single support inbox with self-hosting and Docker/one-click deployment options. Includes an optional AI agent (Captain) for automated replies, multilingual translation, and integrations.
AI API2020
Manages OAuth, credential storage, API proxying, and deployable TypeScript integration functions so products and AI agents can access 800+ external APIs. Includes AI-assisted function generation, a production runtime with scaling and observability, and cloud or self-hosted deployment options.
AI Infra2020
Covers the full AI quant pipeline — point-in-time data, model training, backtesting, portfolio optimization, and order execution. Supports supervised learning, market dynamics, and RL on 20+ models, plus an LLM-based RD-Agent for factor mining.
MCP Server2020
Exposes a self-hosted WhatsApp HTTP/REST API that runs a real WhatsApp Web instance so apps and AI agents can read/send messages, manage contacts, and automate flows. Offers three engine modes (WEBJS, NOWEB, GOWS), Docker images, and MCP support; relies on WhatsApp Web so blocking risk exists.
AI Agent2022
Terminal rebuilt around AI agents: orchestrate Claude Code, Codex, and Warp's own agent in parallel, each with codebase indexing and scoped permissions. Run them locally or in the cloud, and bring your own model via Bedrock, LiteLLM, OpenRouter.
Chatbot2022
Runs a local AI assistant across WeChat/Feishu/DingTalk/WeCom/QQ/MP/Web, with an Agent mode for task planning, long-term memory, Skills, and tool calling so it can keep working toward goals rather than just chat.
AI Agent2022
Framework for building multi-channel AI assistants that autonomously plan tasks, invoke tools/skills, and keep long-term memory; supports many LLM providers and channels (WeChat, Feishu, QQ, web) for local or server 24/7 deployment.
AI Infra2022
Smart model router for personal AI agents that sends each request to the cheapest model capable of handling it — cutting API costs by up to ~70%. Uses a fast 23-dimension scorer, automatic fallbacks, per-tier controls, and supports local Docker self-hosting or a cloud app; ideal for cost-sensitive personal agents.
AI Agent2022
Build, run, and monitor LLM agents across one stack: an open framework for chaining models and tools, LangGraph for stateful agent orchestration, and LangSmith for tracing, evaluation, and deployment in production.
AI Agent2022
Connects LLMs to private and domain-specific data with ingestion, indexing, and retrieval primitives for RAG and agentic apps. Centers on document parsing via LlamaParse for 90+ file formats, schema-based extraction, and composable queries.