WebToSlide
byok to generate ppts in agentic way
What it does
Generate presentations from websites or text using your own LLM API keys (BYOK). Fully open-source, self-hosted, and agent-driven. - PavanKumarAmara/ppt-agent-byok
Does the same job
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- AJAgents.json – OpenAPI Specification for LLMs2025 · github.com · ▲212
Hey HN, we’re building an open specification that lets agents discover and invoke APIs with natural language, built on the OpenAPI standard. agents.json clearly defines the contract between LLMs and API as a standard that's open, observable, and replicable. Here’s a walkthrough of how it works: https://youtu.be/kby2Wdt2Dtk?si=59xGCDy48Zzwr7ND. There’s 2 parts to this: 1. An agents.json file describes how to link API calls together into outcome-based tools for LLMs. This file sits alongside an OpenAPI file. 2. The agents.json SDK loads agents.json files as tools for an LLM that…
- BWBuild Web Automations via DemonstrationJan 2026 · notte.cc · ▲36
Hey HN, We’ve been building browser agents for a while. In production, we kept converging on the same pattern: deterministic scripts for the happy path, agents only for edge cases. So we built Demonstrate Mode. The idea is simple: You perform your workflow once in a remote browser. Notte records the interactions and generates deterministic automation code. How it works: - Record clicks, inputs, navigations in a cloud browser - Compile them into deterministic code (no LLM at runtime) - Run and deploy on managed browser infrastructure Closest analog is Playwright codegen but: - Infrastructure…
- AGAgentseed – Generate Agents.md from a CodebaseFeb 2026 · github.com · ▲16
npx agentseed init AGENTS.md (https://agents.md) is a standard file used by AI coding agents to understand a repo (stack, commands, conventions). Agentseed generates it directly from the codebase using static analysis. Optional LLM augmentation is supported by bringing your own API key. Extracts languages, frameworks, dependencies, build/test commands, directory structure, and monorepo boundaries.
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