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
Build LLM-powered agents and applications from modular components: provider-agnostic model abstractions, tool integrations, retrievers for RAG, and agent orchestration primitives. Suited for prototyping and production agent workflows; requires developer wiring and dependency management.
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.
Chatbot2022
Connect LLMs to major chat platforms so teams can build, deploy, and operate multi-platform AI chatbots and agents. Provides multi-platform adapters, a plugin marketplace, an MCP server and built-in RAG plus production features like access control, rate limiting and monitoring.
Chatbot2022
Connects one LLM agent to 15+ chat platforms — QQ, WeChat Work, Feishu, Telegram, Discord, Slack — from a single self-hosted backend. Routes to OpenAI, Anthropic, Gemini, DeepSeek or Ollama, and adds a WebUI, MCP tools, and a 1000+ plugin marketplace.
AI Agent2023
Builds no-code automations with TypeScript-based integrations, AI pieces, human-in-the-loop steps, and MCP exposure for community and product workflows.
AI Agent2023
Runs an agentic RAG loop over scientific papers: searches literature, gathers and re-ranks evidence chunks, then answers with in-text citations. Adds metadata-aware embeddings, retraction checks, and contradiction detection across full PDFs.
AI Infra2023
Provides a minimal, Zig-written headless browser tailored for AI agents and automation — runs JavaScript, supports key Web APIs, exposes the Chrome DevTools Protocol for Puppeteer/Playwright, and targets low memory usage and fast startup for large-scale scraping and agent workflows.
AI Agent2023
Maps your existing C#, Python, or Java functions into a form AI models can invoke, then translates model requests into real function calls and feeds results back. Model-agnostic middleware: swap in newer models without rewriting your app.
AI Agent2023
Drives autonomous penetration testing and CTF solving via cooperating LLM sessions that track a pentest task tree. Scored 86.5% on the XBOW benchmark suite at ~$1.11 per solved task, and works with OpenAI, Claude, Gemini, and local Ollama models.
AI Agent2023
Framework for building multi-agent systems where LLM agents take roles and converse to complete tasks via inception prompting, with no human in the loop after the initial brief. Used to auto-generate instruction data and run large-scale agent simulations.
AI Agent2023
Builds production RAG systems around deep document understanding, explainable chunking, hybrid retrieval, citations, and agent workflows for messy enterprise documents.