
r/ClaudeMCP

Robot breaking the human speed record and BREAKING an electrical box at the same time.
Browser-redirect checkouts for AI agents are a joke. Here is how we solved machine-to-machine payments
Every "AI Agent payment rails" startup I see is just wrapping Stripe checkout in a WebView. It’s brain-dead. An autonomous agent is not going to open Chromium, fill a billing address, and solve a Cloudflare turnstile.
If we want real machine-to-machine economy, agents must transact programmatically, in-band, without humans in the loop.
We built MCPay to fix this. It leverages a strict HTTP 402 Challenge-Response flow:
The Block: Agent tries to write/call an API. Gateway returns HTTP 402 Payment Required + a signed challenge containing a spend cap, nonce, and payload hash.
The Signature: Agent signs the challenge using its scoped sub-key (Ed25519 capability chain).
The Execution: Agent retries the request with the cryptographic proof in the headers. Gateway verifies it in <2ms and releases the call.
If the agent mutates a single byte of the payload to bypass limits, the signature breaks and execution drops before any state changes.
No browser hops. No post-factum logging. Pure cryptographic pre-execution policy gating.
It's open-source. What did we miss?
You accidentally say "Hello" to Claude and it consumes 4% of your session limit:
POV: Bro when he finds out that I use Claude Code in the app instead of the terminal
I was tired of context exchange across my claude and codex sessions, so i built a memory & coordination graph my agents can actually use
I'm a Research Engineer at a YC startup, and we ship features pretty fast. I usually run Claude Code, Cursor, Codex, and OpenCode in parallel, developing multiple features, one at a time.
The problem i noticed was that my agents had no coordination, and often confused mutual work, even when working in separate worktrees. As if they had no idea the others existed
So, I built MUON, it's a local app + mcp + cli, a mutual shared brain my agents can plug into. it drives the CLIs you already have and orchestrates them together for multi-feature execution workflows.
I'm still building it. Right now I use MUON to work on MUON, which is a weird but useful dogfood loop.
If anyone wants to poke at it, contributions are welcome. The thing I'm trying to get right is a coordination graph: shared memory and context so agents actually understand what the others (and I) already decided.
OSS Repository : https://github.com/Sweetdevil144/muon
Website : https://getmuon.com/
Docs : https://docs.getmuon.com
Product Demo : https://www.youtube.com/watch?v=oab6vByr1Jg
I've always been an open-source person, so the code is public and readable. License is Polyform Noncommercial. However, there's an extra grant on top - you can use it for your own work, including your day job, on your own machines. What it doesn't cover is turning it into the company's shared brain for a whole team (Enterprise only)
Anthropic has been on a complete rollercoaster recently
If trends continue, we will have “Fable at Home” (~30B models w/ similar capability) sometime between January and May next year
AI SONGS EVERYWHERE
Thoughts on AI songs nowadays?