# trendy-design/llmchat

Unified interface for AI chat, Agentic workflows and more ...

Repository: https://github.com/trendy-design/llmchat
Canonical: https://ross.abutalabs.com/products/llmchat
Homepage: https://llmchat.co
Language: TypeScript
License: MIT
License Family: permissive
Topics: ai, claude, nextjs, shadcn-ui, tailwindcss, tiptap, typescript, vercel, llm, aisdk, immer, zustand
Last push: 2025-05-14T03:24:49+00:00

## Health v2 (maintenance only)
Score: 24/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 21, release rhythm 8, longevity 60
- inputs: {"age_days": 844, "days_push": 476, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1072, forks 194 (observed 2026-08-28T04:03:28.626303+00:00)

## What it is
LLMChat is a privacy-focused AI chat platform built with Next.js and TypeScript that provides a unified interface for chatting with multiple LLM providers (OpenAI, Anthropic, Google, and others). It includes agentic capabilities such as Deep Research, Pro Search, and a custom workflow orchestration engine, with all user data stored locally in the browser via IndexedDB.

## Use cases
- chat with multiple llm providers in one interface
- run deep research on complex topics with ai
- privacy-first ai chat that stores data locally
- build agentic workflows with a step-by-step orchestrator
- search the web with ai assistance for real-time info
- self-host an open-source alternative to chatgpt
- compare responses from openai claude and gemini side by side

## When to choose
- you want a single UI for multiple LLM providers
- privacy matters and you want chat history kept in your browser, not on a server
- you need research-oriented modes like deep research or web-connected pro search
- you want to experiment with agentic workflow orchestration in TypeScript

## When to avoid
- you need team collaboration or server-side chat history sync
- you require enterprise features like SSO, audit logs, or compliance controls
- you want a lightweight library to embed chat in your own app rather than a full platform
- you need guaranteed production support or long-term maintenance commitments

## Facets
- artifact type: application
- maturity: active
- function: chatbot, chat-interface, agent-framework, rag, llm-inference, search-engine, web-scraping
- domain: artificial-intelligence, large-language-models, chatbots, privacy, web-development
- platform: cross-platform
- tags: nextjs, ai-sdk, local-first, indexeddb, deep-research, pro-search, workflow-orchestration, multi-provider, monorepo, self-hosted, ai-agents, web-server, desktop, nodejs, typescript

## Member repositories
- trendy-design/llmchat (main) score 24

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:28.626303+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:53:44.018305+00:00, confidence not recorded.
  - readme: https://github.com/trendy-design/llmchat (fetched 2026-08-28T04:03:28.626303+00:00, sha e49e9b403b32)
- Data as of 2026-08-30T08:39:29.467469+00:00.