# opencx-labs/OpenChat

LLMs custom-chatbots console ⚡

Repository: https://github.com/opencx-labs/OpenChat
Canonical: https://ross.abutalabs.com/products/opencx-labs-openchat
Homepage: https://open.cx
Language: JavaScript
License: MIT
License Family: permissive
Archived: true
Last push: 2024-02-27T13:17:24+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 85
- inputs: {"age_days": 1191, "days_push": 918, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5237, forks 643 (observed 2026-08-28T04:09:13.499764+00:00)

## What it is
OpenChat is a self-hosted chatbot console that lets everyday users create and manage unlimited custom chatbots powered by GPT-3/GPT-4 with a two-step setup. Chatbots can be trained on PDFs, websites, and codebases, given large vector-database-backed memory, shared via URL, or embedded as website widgets.

## Use cases
- build custom chatbots from pdf documents
- create a chatbot trained on my website content
- self-host a chatbot console for gpt-3 and gpt-4
- embed an ai chatbot widget on my website
- chat with my codebase for pair programming
- manage multiple customized chatbots in one place
- give a chatbot long-term memory over a 400-page pdf

## When to choose
- you want a quick, low-code way to spin up many GPT-based chatbots from your own documents
- you need self-hosting with MIT licensing and embeddable chat widgets
- you want to query large PDFs or an entire codebase through a chat interface

## When to avoid
- you need open-source local model support rather than GPT-3/GPT-4 API keys
- you require production-grade enterprise support integrations like Slack or Intercom, which were still on the roadmap
- you need an actively developed project - the last release was early 2024

## Facets
- artifact type: application
- maturity: maintenance
- function: chatbot, rag, llm-inference, web-framework, vector-database
- domain: chatbots, large-language-models, artificial-intelligence, self-hosted
- platform: self-hosted, python
- tags: chatbot-console, gpt-3, gpt-4, pdf-ingestion, knowledge-base, embeddable-widget, custom-chatbots, openai, retrieval-augmented-generation, web-server, docker, nodejs

## Member repositories
- opencx-labs/OpenChat (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:13.499764+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 2026-08-29T17:59:38.067075+00:00, confidence not recorded.
  - readme: https://github.com/opencx-labs/OpenChat (fetched 2026-08-28T04:09:13.499764+00:00, sha def19031b7d8)
  - homepage: https://open.cx (fetched 2026-08-29T08:55:12.421564+00:00, sha 26d873c5219b)
  - site_page: https://www.open.cx/about-open (fetched 2026-08-29T08:55:12.434778+00:00, sha 8fb84b451931)
  - site_page: https://www.open.cx/pricing (fetched 2026-08-29T08:55:12.430904+00:00, sha 168f90837909)
  - site_page: https://www.open.cx/guarantee (fetched 2026-08-29T08:55:12.433084+00:00, sha 9d7aca1543e8)
  - site_page: https://www.open.cx/integrations (fetched 2026-08-29T08:55:12.436419+00:00, sha 17b8177b0665)
- Data as of 2026-08-30T08:39:29.467469+00:00.