Reachat is live · free · last verified 23 Oct 2026 · viability monitor
Reachat
Open-source React chat UI components for building LLM chat interfaces in hours, not weeks
If your team already owns its backend, Reachat removes the boringest two weeks of any LLM feature — the chat surface itself. The Component Catalog and ChartRenderer mean model responses can render live React, not just formatted text, which is more than most UI kits attempt. You pay for the Apache 2.0 license by wiring model calls, auth and storage yourself, and by migrating off UMD if you were pinned to 3.3.0's predecessor.
Verdict generatedVerified 7d ago · liveness 68/100 · cite: rightaichoice.com/tools/reachat
- React developers adding a chat UI to an existing LLM app
- Teams that want to keep their own backend, auth and model routing
- Products that need charts or live React components rendered inside chat
- Startups prototyping conversational AI on a zero-cost Apache 2.0 license
- Non-developers looking for a no-code chatbot builder
- Teams wanting an out-of-the-box full-stack copilot with database and auth primitives
- Projects pinned to bundlers that can't consume an ESM-only package (v3.3.0 dropped UMD)
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Skip Reachat if your team isn't on React, is pinned to a bundler that still needs UMD output after the 3.3.0 ESM-only change, or wants persistence and auth bundled rather than writing your own.
Wiring your own backend, auth and persistence is real engineering time the Apache 2.0 license does not cover
Reachat is Apache 2.0 licensed and free for personal and commercial projects, including multi-model switching and no seat limits, which puts it well under per-seat hosted chat builders or full-stack copilot platforms that bundle persistence and auth into a subscription. The comparison isn't apples to apples: those paid platforms include storage, auth and orchestration, while Reachat leaves you to build or buy those pieces separately.
In short
Reachat — Open-source React chat UI components for building LLM chat interfaces in hours, not weeks. Best for React developers adding a chat UI to an existing LLM app, Teams that want to keep their own backend, auth and model routing, Products that need charts or live React components rendered inside chat. Free to use.
What is Reachat?
Reachat — Open-source React chat UI components for building LLM chat interfaces in hours, not weeks. Best for React developers adding a chat UI to an existing LLM app, Teams that want to keep their own backend, auth and model routing, Products that need charts or live React components rendered inside chat. Free to use.
Reachat is an open-source ReactJS component library for teams adding a conversational surface to an app they already own. You install it with npm, drop the chat components into your project, and point them at whatever backend or LLM you already use — OpenAI, Anthropic, a self-hosted model, or your own API. The vendor's own pitch is deliberately unglamorous: chat UIs without all the baggage. The point is that you stop rebuilding message lists, input bars and media handling every time a product needs an assistant pane. The library ships the pieces that usually eat a sprint: markdown rendering with KaTeX math, image and video embeds, multi-file uploads, and a pluggable remark pipeline for extending how responses are parsed. A Component Catalog lets a model return real React components — charts, cards, layouts — instead of plain text, with a ChartRenderer covering seven chart types. Mentions and slash commands run through Tiptap with sync or async data sources, and a slot system lets you swap any individual component without breaking the rest of the library's behavior. Theming is Tailwind CSS. It is aimed squarely at React developers, not operators. There is no hosted chatbot builder, no database, no auth layer — Reachat assumes you have those and only wants to own the interface. Extensibility runs through code: custom slots, custom remark plugins, custom component registries, and a useAgUi hook if your backend speaks the AG-UI protocol. Worth flagging for anyone upgrading: Reachat 3.3.0 dropped the UMD build and is now ESM-only, with tooling moved to Vite 8/Rolldown, ESLint 9, TypeScript 6 and Vitest 4. Bundlers still relying on UMD output have to migrate. Licensing is Apache 2.0, so commercial use costs nothing. Against full-stack copilot frameworks, Reachat gives up persistence and orchestration; against paid per-seat chat UI kits, it gives up hand-holding. What it keeps is control of your stack.
Key features
- Pre-built React UI components for LLM and chat interfaces
- Install via npm i reachat and connect your own backend in three steps
- Markdown rendering with KaTeX math support
- Pluggable remark plugin pipeline for response parsing
- Image and video embeds inside messages
- Multi-file uploads
- Component Catalog renders live React components from model output
- ChartRenderer with seven chart types
- Provider-agnostic: works with any backend or LLM
- Multi-model support with switching inside one interface
- AG-UI protocol support via the useAgUi hook
- @mentions and /slash commands powered by Tiptap
- Sync or async data sources for mentions and commands
- Slot system for swapping individual components
- Tailwind CSS theming and customization
Behind the verdict
Where Reachat earns its place is the moment a product manager asks for an assistant pane and nobody wants to spend two weeks on scroll behavior, file uploads and markdown edge cases. Install it, wire the backend, done. For React teams that already have auth, persistence and model routing, that is a genuinely short path, and it costs $0 under Apache 2.0. Pick it when the interface is the part you don't want to build and the backend is the part you insist on owning. Custom slots, the remark pipeline and the Component Catalog all exist precisely because the library expects you to extend it in code rather than configure it in a dashboard. Pass on it if nobody on the team writes React, or if what you actually want is a finished copilot with a database, user management and retrieval built in. Reachat will not hand you those. Frameworks in that full-stack category trade stack control for orchestration; Reachat makes the opposite trade. The Component Catalog deserves a caveat. Letting a model render real React components is powerful and slightly hazardous — you are now responsible for the component registry, the props contract and whatever the model decides to emit. Budget for that. Upgrade logistics matter too. Reachat 3.3.0 is ESM-only: the UMD build is gone and tooling moved to Vite 8/Rolldown, ESLint 9, TypeScript 6 and Vitest 4. If your bundler still expects UMD output, plan the migration rather than discovering it in CI. Compared with paid per-seat chat UI kits, the trade is support for freedom. You get a community, docs and a Storybook instead of an account manager. For most engineering teams that is a fair deal; for teams without frontend depth, it is the reason to look elsewhere.
Limitations
- Reachat is a React UI component library only — it is not coupled to any particular backend or LLM, so you connect your own backend or model.
- Version 3.3.0 dropped the UMD build and is ESM-only, with tooling moved to Vite 8/Rolldown, TypeScript 6, ESLint 9 and Vitest 4, so bundlers relying on UMD output need migration work.
- It is React-only, and customization runs through Tailwind classes and the slot system rather than settings screens.
- Persistence, authentication, analytics and model orchestration are not part of the package.
as of 2026-10-03
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Is Reachat still active?
Reachat is live · free · last verified 23 Oct 2026 · viability monitor.
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: October 2026
How we score →What's new in Reachat
Checked 8 days agoAcross the latest 1 update: 1 changelog entry.
What do users say about Reachat?
What people actually say about Reachat — is it worth it?
Our community sentiment research written Jul 5, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Reachat— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 23 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Reachat 11 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.
- — changed SSL certificate
- — changed who it suits, our verdict, pricing tiers, description, summary, features, who should skip it
- — changed our verdict, who it suits, description, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing tiers, pricing fit, setup time, use cases
- — changed limitations
- — changed who should skip it, description, our verdict, who it suits, pricing tiers, summary, features
- — changed domain expiry
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Reachat cost in 2026?
Reachat: Free to use. Pricing last verified 23 Oct 2026.
Plans compared
Every published Reachat tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Open Source | Free | — | React teams with their own backend and model routing who want a production chat UI at no license costAdds: Starting tier — Apache 2.0 licensed free for personal and commercial use, with no seat limits or usage caps |
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.
Where the pricing makes sense
The company stage and team size where Reachat's pricing actually pencils out — and where peers do it cheaper.
Reachat is Apache 2.0 licensed and free for personal and commercial projects, including multi-model switching and no seat limits, which puts it well under per-seat hosted chat builders or full-stack copilot platforms that bundle persistence and auth into a subscription. The comparison isn't apples to apples: those paid platforms include storage, auth and orchestration, while Reachat leaves you to build or buy those pieces separately.
Has Reachat's pricing changed?
No plan price for Reachat has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Reachat?
Pick Reachat if you are React developers adding a chat UI to an existing LLM app, Teams that want to keep their own backend, auth and model routing, Products that need charts or live React components rendered inside chat, Startups prototyping conversational AI on a zero-cost Apache 2.0 license.
Look elsewhere if you are Non-developers looking for a no-code chatbot builder, Teams wanting an out-of-the-box full-stack copilot with database and auth primitives, Projects pinned to bundlers that can't consume an ESM-only package (v3.3.0 dropped UMD), Anyone needing native mobile or desktop SDKs.
Skip it if Skip Reachat if your team isn't on React, is pinned to a bundler that still needs UMD output after the 3.3.0 ESM-only change, or wants persistence and auth bundled rather than writing your own.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Reachat actually fits — and what changes day-one when you adopt it.
They install reachat, drop the chat components into an existing dashboard, theme them with Tailwind and point the input at their own API endpoint, using the onMessageChange callback to debounce requests.
Outcome: A working, branded chat surface inside the app without building message rendering, uploads or Markdown support from scratch.
The team uses useAgUi to connect an AG-UI protocol backend and enables the Component Catalog so the model can return charts and cards, which ChartRenderer draws with the seven supported chart types.
Outcome: Conversations that render live React components instead of plain text, with the team keeping its own model routing and data layer.
They stand up a single Reachat interface, switch the backend between OpenAI and Anthropic endpoints, and use mentions and slash commands via Tiptap to trigger different prompt modes.
Outcome: Fast multi-model comparison in one UI before committing to a provider.
Use cases
- Build a customer support chat interface connected to your own LLM or API
- Create an AI assistant dashboard with Markdown, math and file uploads
- Prototype a multi-model chat interface that switches between OpenAI and Anthropic
- Build a code documentation chat that renders live React 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
- Render charts and cards inside a conversation using ChartRenderer
- Wire an AG-UI protocol backend into a React chat surface with useAgUi
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.
React devs who already have a backend endpoint can reach a first rendering chat in well under an hour: npm i reachat, include it, connect the backend is the vendor's own three-step path. Expect longer if you still need to build auth, persistence or a model endpoint, and plan migration time if your bundler can't consume an ESM-only package.
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 hand-rolled chat UI: replace your message list, input bar and Markdown renderer with Reachat components, then map existing state onto the library's message model.
- →From a full-stack copilot framework: keep its backend and drop the UI layer in favor of Reachat components, wiring the same endpoints via the provider-agnostic API or useAgUi.
- →From UMD-based Reachat builds: move to the ESM-only 3.3.0 package and update bundler config for Vite 8/Rolldown-era tooling.
- ↗To a full-stack copilot platform: export your conversation data and rebuild the UI on the platform's hosted components when you want persistence and auth included.
- ↗To a framework-native chat kit: port message rendering to the new library's components and re-implement file uploads, Markdown and KaTeX support.
- ↗To a no-code chatbot builder: keep Reachat only for embedded surfaces where you still control the front end, and move non-technical flows to the builder.
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Reachat”, and we withheld 6: 6 could not be judged, because “Reachat” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Reachat.
Official links
What are the best Reachat alternatives?
The closest alternatives to Reachat we list are CopilotKit, Tambo and Genkit. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| CopilotKit | Freemium | Pricing not published | — |
| Tambo | Free | Free | — |
| Genkit | Free | Free | — |
Alternatives to Reachat
View all
CopilotKit
Open-source framework for adding agent chat, generative UI, and human approvals to React apps on any agent backend.
Tools that pair well with Reachat
Common stack mates teams adopt alongside Reachat, with the specific reason each pairing earns its keep.
CopilotKit
Open-source framework for adding agent chat, generative UI, and human approvals to React apps on any agent backend.
Tambo
Open-source React toolkit for generative UI that renders your own components from natural language
Genkit
Genkit is Google's open-source AI SDK for building agentic AI apps in TypeScript, Go, Python, and Dart.
Reachat vs its closest rival
Reachat's closest head-to-head is with 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. Verdict generated
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.
GeneratedReachat 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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