# AprilNEA/AChat

🌊 AChat - An open-source/self-hosted/local-first AI platform, designed for enterprises and teams, perfectly combining powerful local processing capabilities with seamless remote synchronization.

Repository: https://github.com/AprilNEA/AChat
Canonical: https://ross.abutalabs.com/products/achat
Homepage: https://achat.dev
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: agent, ai, chat, chatbot, claude, deepseek, enterprise-solutions, gemini, openai, self-hosted, llm-client
Last push: 2026-04-17T08:50:38+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 77, release rhythm 8, longevity 87
- inputs: {"age_days": 1225, "days_push": 138, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3255, forks 1147 (observed 2026-08-28T04:07:52.328763+00:00)

## What it is
AChat is an open-source, self-hosted, local-first AI chat platform for enterprises and teams, supporting multiple LLM providers like OpenAI, Claude, Gemini, and DeepSeek. It centralizes team AI conversations with collaboration tools, usage billing, content moderation, and plugin extensibility.

## Use cases
- self-host a team chatgpt alternative
- manage team ai conversations in one place
- track and bill llm usage across an organization
- deploy a private ai assistant for my company
- share ai chat history with my team
- moderate and audit employee ai usage
- connect openai claude and gemini in one client

## When to choose
- you need a self-hosted, privacy-focused AI chat platform for a team or enterprise
- you want centralized conversation history, roles, and permissions
- you need built-in billing and cost management for AI usage
- you want multi-provider LLM support in one interface

## When to avoid
- you only need a personal single-user chat client
- you want a lightweight library to embed chat in your own app
- you need fully offline LLM inference without any provider APIs
- you require a permissive license for commercial redistribution (license is non-standard)

## Facets
- artifact type: application
- maturity: active
- function: chatbot, chat-interface, agent-framework, llm-inference, self-hosted, plugin-system, auth, authorization
- domain: artificial-intelligence, large-language-models, chatbots, self-hosted, developer-tools, web-development
- platform: self-hosted, cross-platform
- tags: llm-client, team-collaboration, enterprise, local-first, billing, content-moderation, openai, claude, gemini, deepseek, ai-agents, web-server, docker

## Member repositories
- AprilNEA/AChat (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:52.328763+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 2026-08-30T07:23:15.961537+00:00, confidence not recorded.
  - readme: https://github.com/AprilNEA/AChat (fetched 2026-08-28T04:07:52.328763+00:00, sha 4f63128d56d1)
- Data as of 2026-08-30T08:39:29.467469+00:00.