# HTTP Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/http
> Markdown URL: https://aitinkerers.org/technologies/http.md
> Technology record last updated: 2026-02-27T04:09:06Z
> Generated: 2026-09-21T20:51:46Z

HTTP (Hypertext Transfer Protocol) is the application-layer protocol driving all web data exchange: It dictates the client-server request-response cycle using specific methods (e.g., GET, POST) and status codes (e.g., 200, 404).

HTTP (Hypertext Transfer Protocol) operates as the foundational application-layer protocol for the World Wide Web, managing the client-server request-response cycle. A client (browser) sends a request (e.g., a GET or POST method), and the server replies with a response, including a three-digit status code (like 200 OK for success) and the resource body. Though inherently stateless, the protocol leverages cookies (RFC 6265) to maintain session state across requests. We've seen major evolution: HTTP/1.1 introduced persistent connections, while HTTP/2 and the emerging HTTP/3 (based on QUIC) focus on stream multiplexing and efficiency for faster, modern web performance. This structure of methods, headers, and status codes is the universal language for web data transfer.

- Official technology site: https://developer.mozilla.org/en-US/docs/Web/HTTP
- Public AI Tinkerers demos and talks: 14
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Docker Sandboxes](https://paris.aitinkerers.org/talks/rsvp_q-ziE0PuCC8)

AI is everywhere and easier to use. We think it can be even simpler. With AI, we either write a prompt, use a pre-built agent, or code complex agents. We think there's room for ad hoc agents written in seconds, without code. Why? Because AI is often useful for tasks never seen before, and it's a superpower to assemble models, prompts, and tools into a team of agents created for that task.

- Event context: AI Tinkerers Paris: Docker Agentic Workflows (Devoxx Kickoff) — 2026-04-21 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_q-ziE0PuCC8

### [Docker Agent: Simplifying AI Agent Creation](https://paris.aitinkerers.org/talks/rsvp_5hoKr2cgNMw)

AI is everywhere and easier to use. We think it can be even simpler. With AI, we either write a prompt, use a pre-built agent, or code complex agents. We think there's room for ad hoc agents written in seconds, without code. Why? Because AI is often useful for tasks never seen before, and it's a superpower to assemble models, prompts, and tools into a team of agents created for that task.

- Event context: AI Tinkerers Paris: Docker Agentic Workflows (Devoxx Kickoff) — 2026-04-21 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_5hoKr2cgNMw

### [Docker Agent: Simplifying AI Agent Creation](https://paris.aitinkerers.org/talks/rsvp_QMDTiAwXhfE)

AI is everywhere and easier to use. We think it can be even simpler. With AI, we either write a prompt, use a pre-built agent, or code complex agents. We think there's room for ad hoc agents written in seconds, without code. Why? Because AI is often useful for tasks never seen before, and it's a superpower to assemble models, prompts, and tools into a team of agents created for that task.

- Event context: AI Tinkerers Paris: Docker Agentic Workflows (Devoxx Kickoff) — 2026-04-21 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_QMDTiAwXhfE

### [CodeDB: Building a Code Intelligence Server That Cuts Agent Token Usage](https://singapore.aitinkerers.org/talks/rsvp_YyFDIYV6hPs)

CodeDB is a code intelligence server for AI agents that indexes a codebase once and serves structured answers through MCP, HTTP, and CLI instead of forcing models to repeatedly scan raw files. In this demo, I show how CodeDB uses structural indexing, trigram search, inverted word lookups, dependency graphs, and snapshots to help agents find only the most relevant code context with much lower latency and dramatically fewer tokens.

- Event context: AI Tinkerers Singapore: The Agentic Future & Dev/Eng Workflows — 2026-04-21 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_YyFDIYV6hPs

### [Kill the Account](https://paris.aitinkerers.org/talks/rsvp_0EWKqOx7mrY)

AI agents are no longer limited by human-operated infrastructure. With the rise of wallet-based authentication and emerging standards like x402, agents can now directly access web search APIs without signup flows, API keys, or manual configuration. In this talk, Guillaume from Linkup will walk through how this shift fundamentally changes how we build and deploy agentic systems. He’ll present Linkup’s latest release with x402 support, showing how removing the final human bottleneck unlocks fully autonomous, composable AI workflows. The session will combine real-world demos with architectural insights, giving both technical and product perspectives on what comes next for autonomous agents on the web.

- Event context: AI Builders Meetup Paris - OpenClaw (featuring 42 AI & HEC Vibe) — 2026-03-26 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_0EWKqOx7mrY

### [Speech to Music with Story Jam](https://portland.aitinkerers.org/talks/rsvp_sxCV-CokrdM)

I developes music generation systems empowered by Elevenlaps Speech transcription I have a demo for audience to try live to create chord stories from their words

- Event context: AI Tinkerers Portland: Building Voice Agents & Conversational AI Stacks — 2026-03-06 — Portland
- Public talk page: https://portland.aitinkerers.org/talks/rsvp_sxCV-CokrdM

### [From Benchmark to Agent: A2A‑Driven Werewolf Arena for Evaluating LLM Agents](https://bogota.aitinkerers.org/talks/rsvp_w6B43riADns)

Werewolf Arena is a multi‑agent social‑deduction benchmark built on the AgentX–AgentBeats stack, developed as part of the second cohort of TribuPapers and the 2025 Berkeley Agentic AI MOOC, and submitted to the AgentX–AgentBeats competition. It instantiates the Werewolf game as an 8‑player environment where a Green Agent orchestrator manages role assignment, day/night phases, interaction flow, and ELO‑style ratings, while multiple LLM‑driven Purple Agents connect via the A2A protocol to debate, vote, and execute actions under partial information. The project provides a research‑oriented evaluation pipeline that stress‑tests core agentic capabilities such as probabilistic reasoning, persuasion, deception and detection, role‑conditioned behavior, and narrative consistency in noisy multi‑agent settings. Each game produces both quantitative metrics (win‑rate by role, survival, vote accuracy, ELO adjusted by opponent strength) and qualitative scores via an LLM‑as‑a‑Judge component inspired by G‑Eval, which rates agents along multiple dimensions (reasoning quality, persuasive power, deceptive skill, adaptability, and consistency) and generates textual justifications. Technically, the system is implemented in Python with FastAPI for Green/Purple A2A endpoints, uses OpenAI LLMs (configurable models such as gpt‑4o‑mini) for both policies and judge, exposes a JavaScript/HTML/CSS leaderboard UI, and is fully containerized with Docker/Docker Compose and automated via GitHub Actions CI to run tournaments and update metrics reproducibly. The project was developed collaboratively by Daniel Santiago Sandoval Higuera, Sadid Alexis Romero Mahecha, Julian Anibal Henao Garcia, and Andres Felipe Garcia Sanchez.

- Event context: AI Tinkerers Bogotá: El Primer Meetup de 2026 — 2026-02-26 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_w6B43riADns

### [如何利用 kimi k2.5 加速自己的自學 (實戰為主)](https://hong-kong.aitinkerers.org/talks/rsvp_ro6N7CukDoE)

Topic: How to use AI to accelerate Code learning and accelerate exploration on code example: learn something new, like webgpu raytrace diamond TSL shader code Clean the vertex + fragment shader in runtime, gather uniforms With 3 areas of code (vertex, fragment and uniforms) Tell kimi 2.5 it is a diamond shader in three.js. Please help convert the code to TSL three.js Correct syntax and minor mistakes Explore the working code Learn deeper about how it works and explore different changes.

- Event context: AI Tinkerers Hong Kong & GBA: Using AI as a Superconductor for Learning — 2026-02-26 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_ro6N7CukDoE

### [Durable AI Agents with x402 (Pokemon Card Generator)](https://sf.aitinkerers.org/talks/rsvp_7P2X6ep8w4k)

I'll demo a Retro Pokemon Card generator that uses Vercel's new Workflow SDK to make agents fault-tolerant and resumable, while also requiring USDC payment using the x402 HTTP response code, enabling anyone to invoke an agent workflow anonymously.

- Event context: AI Tinkerers x Google Cloud SF Meetup — 2025-11-21 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_7P2X6ep8w4k

### [UTCP: Zero Wrapper. No Servers. A Better Alternative to MCP.](https://munich.aitinkerers.org/talks/rsvp_Yfq7ehtNwjU)

MCP solved a big problem: letting agents interact with tools without glue code for every integration. But it came with major trade-offs: extra wrappers and servers, duplicated authentication and permission logic (creating new security risks), higher latency, and fragile setups that break with each change. If we want agents to truly act autonomously and scale to thousands of tools, we can’t afford that overhead or security risk. We built UTCP (Universal Tool Calling Protocol) to fix this. UTCP isn’t a middleman — it’s a manual. It builds on your existing endpoints with: - Security-first design: uses your existing authentication, permissions, and billing. - Zero wrapper tax: faster, simpler, and cheaper. Lower latency and token usage. - Dynamic discovery: agents can discover and call new tools on the fly. - Built for scale: from a single tool to thousands.

- Event context: AI Tinkerers Munich - July 25 — 2025-07-25 — Munich
- Public talk page: https://munich.aitinkerers.org/talks/rsvp_Yfq7ehtNwjU

### [CTF-Agent: how to hack your site with reasoning models](https://amsterdam.aitinkerers.org/talks/rsvp_BI82WZQHbPs)

An AI agent that completes CTF (capture-the-flag) challenges using reasoning models, an agent loop and only a single tool: HTTP requests. It successfully does SQL injection and several cookie spoofing attacks of increasing complexity.

- Event context: AI Tinkerers x AdvancedJS Amsterdam — 2025-06-25 — Amsterdam
- Public talk page: https://amsterdam.aitinkerers.org/talks/rsvp_BI82WZQHbPs

### [PassportMCP: Auto-sync browser auth with tools for agents](https://sf.aitinkerers.org/talks/rsvp_ni6fhBf7xO0)

PassportMCP is an sdk that automatically syncs your browser's auth state so that you can build MCP servers for any given website. When using the sdk, you don't have to worry about attatching cookies, refreshing tokens, or any of that. Instead, you can make normal GET and POST requests. This lets you build any MCP server you want! The sdk can also be used in scenarios that have nothing to do with MCP. It's just a useful utility if you ever want to make http requests that will automatically be authenticated using the credentials/cookies stored in the browser.

- Event context: AI Tinkerers - San Francisco - February 2025 Demos + Science Fair — 2025-02-28 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_ni6fhBf7xO0

### [dSPY File Uploader](https://chicago.aitinkerers.org/talks/rsvp_KJsUBZqBmxQ)

I'll demo a File Uploader which takes in files in any format, and uses DSPy to get them into the desired format.

- Event context: AI Tinkerers Chicago December Meetup — 2024-12-10 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_KJsUBZqBmxQ

### [Post-Postman: Creative End-to-End API Testing with Generative AI](https://amsterdam.aitinkerers.org/talks/rsvp_lBLnWhgMApA)

How can we use GenAI to help developers build and debug API's faster. In this lightning talk we will show what we've been prototyping at Fiberplane; an HTTP debugging tool using GenAI for payload suggestions and code prompts, friendly and hostile personas, and third party webhooks in order to squash bugs way earlier in the development cycle. Your code reviewer will wonder what shadow team you’ve secretly hired.

- Event context: AI Tinkerers Amsterdam - September — 2024-09-25 — Amsterdam
- Public talk page: https://amsterdam.aitinkerers.org/talks/rsvp_lBLnWhgMApA

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