Tools tagged with "LLM"

Firecrawl is a web data API for searching, scraping, and interacting with the web at scale. It extracts content as clean Markdown or structured data for AI agents and apps, and is open source with a hosted service.

Ollama lets you get up and running with open models such as Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma. It offers a CLI, REST API, and libraries for Python and JavaScript to run and manage models locally.

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

LangChain is the agent engineering platform and provides create_agent, a minimal, highly configurable agent harness for composing an agent from model, tools, prompt, and middleware.

LLM inference in C/C++ with minimal setup and state-of-the-art performance on a wide range of hardware, locally and in the cloud.

AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI

DeepSeek-V3 is a Mixture-of-Experts language model with 671B total parameters and 37B activated per token. It supports a 128K context and is available in Base and Chat variants with open weights for local deployment and API use.

Crawl4AI is an open-source web crawler and scraper for LLMs and AI agents. It turns any website into clean, LLM-ready Markdown for RAG, agents, and data pipelines, and can also be used hosted with one key.

Screenshot to Code converts screenshots, mockups, Figma designs, and screen recordings into clean, functional code using AI, supporting HTML/Tailwind, HTML/CSS, React/Tailwind, Vue/Tailwind, Bootstrap, and Ionic/Tailwind.

Unsloth is an open-source framework for running and training LLMs. It provides a local UI to run and train LLMs and diffusion models, supporting GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Mem0 is a drop-in memory infrastructure for AI agents and apps, providing persistent context that enables continuous learning from past user interactions for enhanced intelligence and personalization.

GraphRAG is a modular graph-based Retrieval-Augmented Generation system that extracts a knowledge graph from unstructured text, builds a community hierarchy, generates summaries, and supports global, local, DRIFT, and basic search.

Qwen3 is the large language model series from Alibaba Cloud's Qwen team. It offers dense and Mixture-of-Experts models with thinking and non-thinking modes, multilingual, long-context, reasoning, coding, and agent capabilities.

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud, offering dense and MoE architectures, advanced visual reasoning, long context, and expanded OCR.

Harbor is a framework from the creators of Terminal-Bench for evaluating and optimizing agents and language models in container environments. It supports arbitrary agents, custom benchmarks, parallel cloud experiments, and rollouts for RL