Foglamp HUD
Foglamp HUD delivers an overlay for running specialized AI agents in applications.
FreeProductivity
Visit website Free to browse · updated 2026-06-24
What is Foglamp HUD?
Foglamp HUD equips applications with an interactive layer where users can invoke targeted AI agents powered by different models. These agents address practical workflows such as resolving support issues, analyzing data sets, examining code changes, gathering online information, converting natural language to queries, and sorting incoming requests. Developers activate the system through straightforward commands that enable the heads-up display on the backend while rendering the interface component on the frontend. This setup allows seamless incorporation without extensive modifications to existing codebases. The platform highlights various agent capabilities, some of which perform reliably while others may show occasional inconsistencies depending on the assigned model and task complexity.
Key features
Run support-copilot to resolve refunds and email customers using GPT-5.4 Pro
Run data-analyst to answer warehouse questions using Claude Sonnet 4.6
Run code-reviewer to review pull requests using Gemini 3.1 Pro
Run research-agent to research topics using GPT-5.4 Mini
Run sql-bot to turn questions into SQL using Claude Haiku 4.5
Run triage-agent to triage tickets using Gemini 3.1 Flash
Two-line integration via foglamp({ hud: true }) on server and <FoglampHUD /> in client
AI models Foglamp HUD uses
GPT-5.4 Pro
support-copilot: Resolves a refund and emails the customer
Claude Sonnet 4.6
data-analyst: Answers a question over the warehouse
Gemini 3.1 Pro
code-reviewer: Reviews a pull request and comments
GPT-5.4 Mini
research-agent: Researches a topic across the web
Claude Haiku 4.5
sql-bot: Turns a question into SQL
Gemini 3.1 Flash
triage-agent: Triages tickets — occasionally flaky
What you can use Foglamp HUD for
Automated Customer Support
Resolves refunds and emails customers using the support-copilot agent.
Warehouse Data Queries
Answers questions over warehouse data using the data-analyst agent.
Code Review Automation
Reviews pull requests and adds comments using the code-reviewer agent.
How to use Foglamp HUD
- 1Sign up and access the Foglamp HUD dashboard
- 2Install the Foglamp package in your project
- 3Enable HUD by calling foglamp({ hud: true }) on the server
- 4Import and render the <FoglampHUD /> component in the client
- 5Select an agent such as support-copilot or data-analyst and provide input
- 6Review the agent output and apply results to your workflow
Foglamp HUD pricing
Pricing model: Free. Plan details are indicative — check the site for current prices.
Free
Free
- foglamp({ hud: true })
- <FoglampHUD />
Editor's verdict
Pros
- +Simple two-line app integration
- +Multiple specialized AI agents available
Cons
- –Triage-agent described as occasionally flaky
Our take: Foglamp HUD is a solid productivity choice. It's valued for simple two-line app integration and multiple specialized ai agents available. The main trade-off is triage-agent described as occasionally flaky. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
Foglamp HUD is a productivity tool for running specialized AI agents that handle tasks such as support, data analysis, code review, research, SQL generation, and ticket triage.
Summary
Foglamp HUD is a solid productivity choice. It's valued for simple two-line app integration and multiple specialized ai agents available. The main trade-off is triage-agent described as occasionally flaky. A good pick if you want capable AI without a high upfront cost.
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