Clify – generate a CLI from any API docs, use it as agent tooling
clify is a Claude Code plugin. Give it an API documentation URL and it generates a complete CLI repo: commands for every endpoint, smoke tests, zero npm dependencies. Try it inside Claude Code: 1. /plugin marketplace add derrickko/clify 2. /plugin install clify@derrickko-clify 3. Run /clify You'll have a working CLI in about 10 minutes. I was building agents to manage ad campaigns. Meta's Marketing API has no CLI, and no MCP server either. So I wrote one by hand. It worked, but then I looked at the next API I needed and realized the same problem is everywhere: tons of…
What it does
In the maker’s words, at launch
clify is a Claude Code plugin. Give it an API documentation URL and it generates a complete CLI repo: commands for every endpoint, smoke tests, zero npm dependencies. Try it inside Claude Code: 1. /plugin marketplace add derrickko/clify 2. /plugin install clify@derrickko-clify 3. Run /clify <documentation url> You'll have a working CLI in about 10 minutes. I was building agents to manage ad campaigns. Meta's Marketing API has no CLI, and no MCP server either. So I wrote one by hand. It worked, but then I looked at the next API I needed and realized the same problem is everywhere: tons of great APIs out there with no agent-friendly interface at all. clify automates that. Point it at docs, get back a CLI. A single CLI call costs 10-32x fewer tokens than the equivalent MCP call because there's no protocol overhead, no schema negotiation. Each generated CLI has its own agent memory system that stores command chains. When an agent figures out the right sequence of calls to get the data you need, it remembers the path for next time. Here's an example of what the output looks like: https://github.com/derrickko/meta-ads-cli Related thread with good discussion on CLI vs MCP for agents: https://news.ycombinator.com/item?id=47208398 Both repos are open source. Code is all there if you want to look at how it works before installing. Would love feedback!
Does the same job
all alternatives →


- IBI built a tool that turns any API into a CLI for agentsMar 2026 · instantcli.com · ▲6
TLDR; I built a tool that turns any API into a CLI designed for ai agents --- Got tired of dealing with bloated context windows from MCP servers and skills that stuff entire API docs into the agent's context CLIs fix this, agents run a single command to self-discover everything an API has to offer So, built a tool to generate them for any api. All CLIs are written in Go, fast and lightweight, no dependencies Help text (via the --help flag) is the killer feature: all context for each command/endpoint/parameter is extracted directly from the user-facing API docs and enhanced with…


More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, April 2026
the whole month →
- AG
Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com
- IB
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com

- BC
Life & fun · Apr 2026 · sam-burns.com
- IB
With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app