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Concierge

Framework for Building Agentic Web Interfaces

Details

External ID
45809653
Source
HN
Company
—
Product
Concierge
Website domain
github.com
Launched
Nov. 4, 2025
Cohort
—
Upvotes
20
Upvotes percentile
0.6932314410480349
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Hey HN, We’re building Concierge,An open source framework that allows you to build Agentic Applications, letting LLMs navigate, interact, and transact with your serviceIt's a declarative framework which makes it easy for you to create Microservices for AI agents. You can expose your existing web offerings to LLMs. To support navigation you can use several abstractions like Stages, Tasks, Workflows and more. These specify the rules and guiding principles of how an Agent interacts with the service.It's especially useful when you want to expose complex business logic with thousands of APIs, and want to provide context on how these can be used/called. For example building an Amazon for agents. With Concierge, you can several rules or "guiding principles" on how you want an Agent to interact with your service. We are calling this new concept as Agentic Web Interfaces, would love to know what you think!You can find the repository here: https://github.com/Agentic-Web-Interfaces/conciergeSome features we are excited about: 1. UI Dashboard to track costs, top business services, usage and analytics. 2. Replay ability to allow you to track and debug user sessions. 3. Ability to self-host or use our managed hosting.

Enrichment

Theme
browser automation and scraping for AI
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
framework for building agentic web interfaces
Manually corrected
False

Could you build this?

Partial Creating standard schema definitions for LLM tool calling is easy, but building a full framework that enables autonomous agent transaction handling and reliable browser/service navigation requires advanced orchestration.

What it would actually take: The framework requires declarative schema compilers, robust headless browser automation (Playwright/Puppeteer), secure authentication session management, and deterministic error handling for non-deterministic LLM responses. The primary hurdle is establishing a protocol that guarantees idempotent transactions and safe state rollback when an agent fails mid-operation.

Discussion

1 comment analyzed.

Feature requests: Web hosting/deployment

Competitors

Other products that read as similar to this one — 169 launches clear the similarity bar, closest 8 shown.

Attention rank: #51 of 170 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 3 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.