Reachat
Open-source React chat UI components for LLM interfaces
Reachat is a solid choice for React developers who want a customizable, open-source chat UI library without reinventing the wheel. Its standout feature is the Component Catalog, which lets LLMs render live React components, and it's provider-agnostic. However, you'll handle backend integration yourself. For a more out-of-the-box solution, consider Copilot Kit; for full control and flexibility, Reachat is worth it.
Verified 6d ago · liveness 68/100 · cite: rightaichoice.com/tools/reachat
- React developers building LLM chat UIs
- Startups prototyping conversational AI
- Teams needing customizable open-source chat components
- Projects requiring multi-model support
- Non-developers seeking a no-code chatbot builder
- Projects needing native mobile or desktop SDKs
- Teams wanting out-of-the-box backend integration
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Skip Reachat if you need a complete chatbot with backend and hosting, or if you're not a developer capable of integrating a React library.
No hidden costs, but you'll need to pay for your own backend/LLM API usage, which can add up depending on volume.
Free and open-source (Apache 2.0), so it fits any budget. Cheaper than commercial chat UI libraries, but you incur engineering time for integration. For teams needing out-of-the-box, paid solutions like Copilot Kit may be simpler.
In short
Reachat — Open-source React chat UI components for LLM interfaces. Best for React developers building LLM chat UIs, Startups prototyping conversational AI, Teams needing customizable open-source chat components. Free to use.
What's new in Reachat
Checked 6 days agoAcross the latest 5 updates: 3 feature updates and 2 changelog entries.
Reachat 3.3.0: UMD removed, ESM-only with Vite 8/Rolldown
Dropped UMD build, modernized tooling to Vite 8/Rolldown, TypeScript 6, ESLint 9, Vitest 4.
Reachat 3.2.3: Documentation improvements
Focused on documentation improvements.
Reachat 3.2.2: Dependency upgrades
Upgraded dependencies.
Reachat 3.2.1: Adds onMessageChange callback and className prop
Adds onMessageChange callback to ChatInput, fixes remarkCve inline links, and adds className prop.
Reachat 3.2.0: AutoScroll, multi-file upload, Markdown theme extensions
Adds autoScroll for SessionMessages, multi-file support, extended Markdown theme and CodeHighlighter.
What people actually say about Reachat — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
27 mentions across 3 sources (Product Hunt, Bluesky, GitHub) · researched Jul 5, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Free and open-source under Apache 2.0 license.
- +Customizable UI components built on Tailwind CSS.
- +Provider-agnostic: works with OpenAI, Anthropic, any API.
- +Includes markdown rendering with KaTeX math support.
- +Supports multi-file uploads and image/video embeds.
- −Extremely limited community feedback makes assessment difficult.
- −Only 1 Product Hunt post with 3 upvotes indicates low visibility.
- −No verified user reviews on Reddit, Hacker News, or YouTube.
- −Most Bluesky posts are unrelated to the tool.
- −GitHub stars (216) are modest for a production-ready library.
- • No hidden costs; completely free and open-source.
Viability Score
How well maintained and how widely used is Reachat? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Pre-built React UI components for chat
- Markdown rendering with KaTeX math
- Image and video embeds
- Multi-file uploads (up to 5 per message)
- Pluggable remark plugin pipeline
- Component Catalog for dynamic React components
- ChartRenderer with 7 chart types
- Provider-agnostic: works with OpenAI, Anthropic, any API
- AG-UI protocol via useAgUi hook
- @mentions and /slash commands (Tiptap)
- Slot system for component swapping
- Auto-scroll for session messages
- onMessageChange callback
- Theming and customization with Tailwind CSS
- ESM-only build (v3.3.0)
About Reachat
Reachat is an open-source React component library for building chat interfaces for LLM-powered applications. It provides pre-built UI blocks for message lists, input areas, media handling, and more, allowing developers to focus on their unique app logic instead of building chat UI from scratch. With a provider-agnostic design, Reachat works with any backend or model, including OpenAI, Anthropic, your own API, or the AG-UI protocol. Key features include Markdown rendering with KaTeX math, image and video embeds, multi-file uploads (up to five per message), @mentions and /slash commands via Tiptap, a Component Catalog that lets models render live React components, and a ChartRenderer with seven chart types. Built on Tailwind CSS, it's highly customizable with a slot system and theming options. Reachat is Apache 2.0 licensed and free for personal and commercial use. Since v3.3.0, it's ESM-only, requiring bundler updates. While you supply your own backend and model logic, Reachat accelerates chat UI development significantly.
Behind the Verdict
Reachat shines as a developer-first library for building chat interfaces. Its slot system and Tailwind-based theming give you deep customization, and the RichTextInput with Tiptap supports @mentions and /slash commands, which is rare. The Component Catalog is a differentiator: it lets models render charts and custom components directly in the chat, enabling rich, interactive outputs. Provider-agnostic means you can switch between OpenAI, Anthropic, or your own backend without UI changes. That said, Reachat is not a full solution. You must build or connect your own backend and model logic. If you're a non-developer or need a quick chatbot, this isn't for you. The library is React-only, so no native mobile support. The ESM-only change (v3.3.0) might require bundler updates, which can be a minor friction. Reachat is ideal for teams that want full control over their chat experience and have the engineering resources to wire up the backend. For prototypes or products where chat UX is a priority, Reachat saves weeks of work.
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Real-world workflow fit
Concrete scenarios for the personas Reachat actually fits — and what changes day-one when you adopt it.
Build a chat assistant for your SaaS product
Outcome: Integrate Reachat in a few hours, connect to OpenAI API, and ship a polished chat UI with markdown and file uploads.
Prototype a multi-model chat app
Outcome: Use Reachat's provider-agnostic components to quickly switch between OpenAI and Anthropic, focusing on backend logic.
Create an internal AI assistant with rich UI
Outcome: Use the Component Catalog to render charts and cards, delivering an interactive assistant without custom UI work.
Use Cases
- Build a customer support chat interface connected to your own LLM or API.
- Create an AI assistant dashboard with real-time markdown and file uploads.
- Prototype a multi-model chat interface that switches between OpenAI and Anthropic.
- Develop a code documentation chat that renders live code examples via the Component Catalog.
- Add an AI-powered search and Q&A interface to a React app.
- Build a multi-tenant chat application with customizable UI per tenant.
Limitations
- Reachat is a React UI library only; no backend or model included.
- ESM-only since v3.3.0 may require bundler updates.
- React-only, no native mobile support.
- Requires engineering effort to integrate backend.
as of 2026-09-01
Verification history
We have re-verified Reachat 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Reachat tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
$0
Ideal for
Any developer or team wanting a free, open-source chat UI library with full customization and no per-seat cost.
What this tier adds
Starting tier: free, Apache 2.0, includes all components and the Component Catalog, with no paid tiers.
Where the pricing makes sense
The company stage and team size where Reachat's pricing actually pencils out — and where peers do it cheaper.
Free and open-source (Apache 2.0), so it fits any budget. Cheaper than commercial chat UI libraries, but you incur engineering time for integration. For teams needing out-of-the-box, paid solutions like Copilot Kit may be simpler.
Setup time & first value
How long it actually takes to get something useful out of Reachat — broken out by persona, not the marketing-page minute.
For a React developer, getting started takes about 15 minutes to install and render a basic chat UI. Connecting your backend adds a few hours depending on complexity. The docs and Storybook help speed up integration.
Switching to or from Reachat
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a custom-built chat UI: Replace your manually-built message list and input with Reachat components, reusing your backend logic.
- ↗To Copilot Kit: Export your message data and rebuild UI with Copilot Kit's components, which may offer more out-of-the-box integrations.
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Reachat
Common stack mates teams adopt alongside Reachat, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Reachat vs Bito
Choose Reachat if you're a React dev building a custom LLM chat UI and want open-source, drag-and-drop components with zero backend lock-in. Choose Bito if your team uses AI coding agents like Cursor or Claude Code and needs cross-repo context, automated scoping, and code reviews that understand your entire architecture. Bito is for complex, multi-repo engineering orgs; Reachat is for UI builders who want to ship a chat interface fast.
Reachat vs Poolside Ai
Reachat is a free, open-source React component library for quickly building customizable LLM chat UIs, ideal for developers prototyping multi-model chat apps. Poolside AI is an enterprise platform with open-weight models, multi-agent orchestration, and on-prem deployment for regulated industries. If you need a UI library, choose Reachat; if you need a secure, governed AI software engineering platform, choose Poolside.
Reachat vs Cognition Ai
Choose Reachat if you're a developer building a custom LLM chat interface from scratch with full control over UI and provider choice, for free. Choose Cognition AI (Devin) if your enterprise needs an autonomous engineer that independently handles bug triage, code changes, and cross-platform builds, backed by a $10M productivity guarantee. They serve completely different needs: a chat UI toolkit vs. an autonomous software agent.
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