Browser Llm Interface

LLMChat is an AI chat tool that offers a beta version experience with diverse AI models, personalized memory, custom assistant creation, and privacy-focused locally stored conversations. Explore features like plugin integration, tailored preferences, and prompt examples for various tasks.

LLM Selector filters open‑source large language models by use case—chatbots, content, code, summarization, research—while presenting benchmarks, training data, architecture, and deployment details. The interface updates regularly to aid researchers, developers, and product managers in data‑driven mo

LiteLLM is an open‑source gateway that unifies access to 100+ LLMs through a single OpenAI‑compatible API, enabling provider fallback, cost tracking, tag‑based budgeting, guardrails, observability, and on‑prem or cloud deployment with a lightweight SDK.

BenchLLM evaluates language‑model applications via API or CLI, running JSON/YAML test suites with automated, interactive, or custom strategies. It supports OpenAI, LangChain, and any API, detecting regressions, generating reports, and visualizing results for continuous QA.

LM Studio runs open‑source large language models locally on Mac (M‑series), Windows, and Linux, enabling private, offline inference. It offers command‑line and headless deployment, server‑side API, SDKs, a model hub, and LM Link for remote model access.

LMQL is a Python‑based language that enables modular, constraint‑driven prompts for large language models. It supports nested queries, type‑enforced outputs, and runtime distribution checks while switching between backends such as llama.cpp, OpenAI, and Hugging Face.

LLMStack is an open‑source platform that lets developers build AI agents and workflows without coding, supports multiple model providers, imports data from web, PDFs, audio, cloud services, and offers a collaborative React UI with granular permissions.

LLM Pulse tracks brand visibility and search presence across LLMs (ChatGPT, Perplexity, Google AI), offering prompt tracking and suggestions, citation analysis, visibility scoring and competitor benchmarking, sentiment and response inspection, plus API and reporting exports.

LLM Price Check aggregates LLM API models and provider details into sortable tables and a cost calculator, showing context windows, input/output cost metrics, and quality indicators to help developers and teams evaluate cost–performance tradeoffs.

LLM Pricing Comparison lets developers and businesses compare token costs, context lengths, and modalities for major large‑language models. An interactive calculator estimates application expenses based on input/output token volumes, helping teams budget AI workloads accurately.

Pocketllm is an AI-powered personal document search engine that allows you to easily search and retrieve information from thousands of pages of PDFs and documents. It offers semantic search capability, fine-tuning search results and summarizing results.

LLM SEO Monitor tracks keyword rankings and AI-generated SERP results across ChatGPT, Claude and Gemini, highlights content gaps and ranking opportunities, provides competitor analysis, automated alerts, exportable reports and API integrations for workflow automation.

llmarena.ai offers side-by-side LLM comparisons across major providers, showing specs like context window, output capacity, modality and routing options. Filters and role-based categories help developers, ML engineers, product managers and researchers select suitable models.

The text-generation-webui is a Gradio-based web UI for Large Language Models, supporting various backends and multiple interface modes. It allows quick model switching, extension integration, and dynamic LoRA loading for custom training.

Web2llm converts web documents into structured Markdown files, extracting relevant content while omitting extraneous elements. Users can input multiple URLs, and the tool organizes individual files and provides summaries in a dedicated 'docs' folder.

LangWatch enables real‑time testing of LLM agents, offering simulation, prompt management, audit trails, and batch testing across models. It integrates with OpenTelemetry, LangChain, LangGraph, and supports self‑hosted, cloud, and role‑based access.

RunLLM is an AI platform that automates incident investigations by querying observability tools, correlating telemetry, and delivering root-cause analyses. It generates live runbooks and remediation recommendations to accelerate MTTR and create an auditable history of incidents.

LLMWizard offers access to multiple AI models like GPT-4o and DALL-E 3, enabling users to automate tasks across coding, legal work, and content creation. The platform supports real-time comparison of AI responses for diverse insights.

LLM Arena enables users to compare multiple large language models side-by-side, analyzing features like accuracy and capabilities. It supports up to 10 models, facilitating informed decision-making for researchers and developers in selecting the right LLM for their needs.

Klu accelerates LLM app development by enabling collaborative prompt design, version control, and automated evaluation across multiple providers. It offers unified observability, cost and drift tracking, private infrastructure, continuous monitoring, and integration with 50+ tools for scalable AI de

Browser Use is a web automation tool that facilitates human-like interactions on websites. It offers features like captcha bypassing, stealth mode for authentication, and supports multiple languages, making it ideal for web scraping and navigation tasks.

Layman Law converts legal documents into plain English, explaining terms on any webpage via a browser extension, summarizing PDFs, and providing clause‑specific translations. It also supports conversational queries, enabling users to understand contracts quickly without legal expertise.

LabEx delivers free, interactive labs for Linux, DevOps, and cybersecurity, organized into skill‑tree pathways. AI assistant Labby aids debugging, while online terminals and real‑world projects cover Docker, Kubernetes, Python, Java, Ansible, and more.

Llama Tutor is an open‑source AI tutoring platform using Llama 3.1 and Together AI. It creates custom lesson plans and explanations for users across education levels, supports many subjects, and offers real‑time dialogue with adaptive sequencing and instant feedback.

Llama is a local AI tool that enables users to create customizable and efficient language models without relying on cloud-based platforms, available for download on MacOS, Windows, and Linux.

LM Studio is a local platform for running various large language models like Llama 2 and Mistral. It offers an offline environment, user-friendly interface, and supports multiple operating systems, enhancing privacy and allowing for simultaneous model execution.

LlamaIndex enables efficient development of AI knowledge assistants for enterprise data management, allowing users to parse complex documents and integrate various data sources, ultimately streamlining workflows and optimizing knowledge management across multiple sectors.

ComicLLM allows users to easily create and customize comics, offering diverse styles and formats for both storyboards and editorial cartoons. It supports multiple languages and provides options for custom art styles, enhancing creative possibilities.

Prompto is an open‑source Angular PWA that lets users interact with multiple LLMs via LangChain.js, adjusting temperature for creativity. It supports chat, notebook, template, arena, and discussion modes, storing all settings and history locally for privacy.

Portkey is an LLMOps platform offering a unified API and model catalog with observability, guardrails, RBAC, audit logs, prompt management, caching, routing and PII redaction to simplify multi-model integration, governance, monitoring, and cost optimization.

LLMWare AI installs a lightweight client on PCs, providing instant access to 100+ AI models optimized for Intel and Qualcomm hardware. It supports RAG, auto‑tunes weights, runs locally without Wi‑Fi, and offers an admin console for monitoring, scaling, and audit logs.

Awan LLM offers unlimited token generation with Meta Llama 3.1 8B and 70B models, no censorship or caps, supporting persistent AI assistance, autonomous agents, roleplay, data processing, and code completion, hosted on owned GPUs for continuous use.

Open‑source AI code‑review platform that plugs into GitHub, GitLab, Bitbucket, and Azure DevOps at the pull‑request level. Model‑agnostic, it runs custom rule sets, tracks technical debt, and delivers real‑time metrics without storing source code.

Ava is an open‑source desktop app that runs language models locally using llama.cpp, offering a GUI or headless mode. Built with Zig/C++ and SQLite, it enables rapid prototyping, privacy‑focused experimentation, and straightforward local deployment.

LLM SEO Report generates detailed SEO analyses for brands by assessing visibility across major AI platforms. It provides actionable recommendations to optimize online presence and adapt to evolving search trends influenced by AI technologies.

Brainglue provides a single chat interface that lets professionals access multiple LLMs—including GPT‑4o, Claude 3.5‑Sonnet, Gemini 1.5‑Pro, and Llama 3.1‑70B—and fine‑tuned assistants for writing, design, product documentation, and marketing. It includes image generation, memory tags, web search, a

Unstract is an open‑source, no‑code platform that automates structured data extraction from unstructured documents using LLMs. It features reusable prompts, Human‑in‑the‑Loop verification, and dual‑LLM hallucination mitigation for secure, compliant use across finance, insurance, and healthcare.

Reflection 70B is an open‑source 70 B Llama 3.1‑based model that uses real‑time reflection tuning for self‑correction. It outperforms GPT‑4o on MMLU, HumanEval, MATH, IFEval, GSM8K, supporting accurate coding, debugging, and reasoning tasks via API, with a no‑registration web interface.

Jelli is a Chrome extension that captures screenshots with a hotkey and copies them to the clipboard. Users can annotate by drawing arrows or rectangles directly on the image, then paste into Slack, Jira, or documents.

Parea AI tracks LLM calls via Python/TypeScript SDKs, letting teams evaluate models on custom data, spot regressions, iterate prompts in a playground, monitor cost, latency and quality, and collect human annotations for fine‑tuning.

Micro LLM is a personal AI assistant that enhances productivity by managing tasks, scheduling appointments, and answering questions. It operates on devices like iPads and iPhones, offering offline functionality and an intuitive interface for seamless organization.

Bolt.diy is an open-source AI-powered platform for developing, running, and deploying full-stack web applications using multiple LLMs. It features an integrated terminal, version control, and seamless model integration, making AI-assisted coding more efficient and flexible.

LipSurf is a Chrome extension that lets users dictate text and control web pages via voice commands. It supports Gmail, Docs, Slack, and other sites, enabling hands‑free navigation, scrolling, clicking, and media control in multiple languages.

Pola Browser enhances productivity with smart tab management, research mode for tracking browsing journeys, AI tools for content summarization, and multiple profiles for organized workflows, all while maintaining performance and user privacy with integrated security features.

LLMChess lets users play White against a GPT‑driven engine (GPT‑3.5‑Turbo or GPT‑4) with start/stop controls and a log pane. It offers un‑rated, platform‑rated, and FOA‑rated games, tournaments, and training tools like puzzles and post‑game analysis.

GoLogin Cloud Browser is a cloud-based platform that provides scalable, headful browser instances with unique fingerprints and IPs for web scraping and automation. It offers programmatic control via Puppeteer/Selenium, integrated proxy services, and team management tools to reduce detection and simp

Acuration IQ transforms internal and open‑source data into market research, partner discovery, and proposal drafts using a context‑aware LLM. It delivers automated partner matching, data analysis, and instant PDF/Excel/Word/CSV/JSON reports, deployable locally or via LLMaaS.

LoginLlama is an API that scores each authentication attempt from 0–10, offering block, MFA, or allow actions. It detects IP and user agents, delivers sub‑500 ms responses, and provides dashboards for risk trends and alerts.

LLM-answer-engine is an advanced answer engine leveraging Groq, Mixtral, Langchain.JS, Brave Search, Serper API, and OpenAI to provide sources, answers, images, videos, and follow-up questions efficiently. It offers an opensource Perplexity alternative.

page-agent is an in-page JavaScript GUI agent for natural-language control and browser automation, offering text-based DOM manipulation, screenshots, and LLM integration. It runs in-browser or headless, supports cross-tab workflows, extensions, and external control.