
Open Character AI
https://github.com/Anil-matcha/open-character-ai- Category
- Entertainment
- Rank
- No. 1477Tools index
Previous survey · No. 1484 ·
- Pricing
- Open Source
- Type
- APP
- Builder
- anil-matcha
- GitHub
- 44 stars
- Date
About
Open-source Character.AI alternative with preset and custom AI personas, per-chat LLM tuning. Built on Next.js + Supabase.
What it does
A deployable persona-chat service where users browse characters, start persistent conversations, create public or private companions, and adjust generation behavior. It also bundles sign-in, usage credits, payments, avatars, and conversation storage into one web product.
Why it's ranked here
The project covers the full path from character discovery to paid, persistent chat, which makes it useful as a working SaaS starting point. However, configuration mismatches, questionable API-key storage, and unrelated image-generation copy suggest it needs a careful cleanup before production use.
What's good
Character creation captures descriptions, greetings, personalities, system instructions, avatars, and visibility. Conversations retain messages and tuning choices. Google authentication, bring-your-own MuAPI credentials, PostgreSQL persistence, credit accounting, and Stripe checkout provide concrete building blocks beyond a chat interface mockup.
Tradeoffs
The application depends on several configured services: PostgreSQL, Google OAuth, Stripe, MuAPI, and webhooks. One documented AI key name differs from the name read by configuration. Custom API keys are stored directly in user records despite the interface claiming encryption. Some pricing text describes image generation rather than character chat.
How to use it well
Use it as a starter for teams building a hosted companion portal with accounts, paid usage, and editable personas. Audit credential handling, reconcile environment variables, rewrite inherited billing copy, and isolate the database before launch. It does not provide a model runtime, offline chat, or a general multi-model workspace.
Technical notes+
package.json defines a private npm application using Next.js 16, React 19, Prisma, PostgreSQL, NextAuth, Supabase, and Stripe. src/lib/auth.js supports Google OAuth and credential-based MuAPI access, but persists customApiKey directly through Prisma. src/lib/config.js reads MUAPIAPP_API_KEY while README.md documents MU_API_KEY. src/lib/prisma.js creates a PostgreSQL pool through PrismaPg and caches PrismaClient during development. src/lib/services/billing.js creates one-time Stripe Checkout sessions and credits users after signed webhook events. src/app/pricing/page.js contains image-oriented claims such as HD downloads and aspect ratios that do not match the documented chat product.
Observed
- License
- MIT
- Primary language
- JavaScript
- Packaging
- Private npm package with development, build, start, and lint scripts
- Interface
- Next.js web application with server-side API routes
- Authentication
- Google OAuth and MuAPI-key credential sign-in through NextAuth
- Database
- PostgreSQL accessed through Prisma and the PostgreSQL adapter
- Platform support
- Local Node.js 18 or newer, with deployment instructions for Vercel
Read from README.md, package.json, src/app/page.js, src/lib/auth.js, src/app/layout.js, src/lib/config.js, src/lib/prisma.js, src/lib/stripe.js, src/app/providers.js, src/components/Footer.js, src/components/Navbar.js, src/app/login/page.js, src/app/pricing/page.js, src/lib/services/user.js, src/lib/services/billing.js.
What it can do
Chat with preset AI personas
Text messages and persona selection → AI responses in character
Create custom AI personas
Character descriptions, personality traits, and behaviors → Custom AI chatbot with defined personality
Tune LLM parameters per conversation
Chat context and model configuration settings → Adjusted AI behavior and response style
Engage in roleplay conversations
Text prompts and scenario descriptions → Character-appropriate dialogue and interactions
Switch between different AI models
Model selection and chat history → Conversation continued with different AI backend
Tags
Tech Stack
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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.