thewaltero

AI coding agents quietly fuck your codebase They hallucinate changes, memory drifts, and you spend more time fixing their mess than building mythos router stops that It forces Strict Write Discipline on Claude 4.6 using the leaked Capybara protocol: • Takes filesystem snapshots before and after every turn • Verifies every edit the model claims it made • Two failed verifications and it yields control to you • Keeps a real, self-healing MEMORY.md No drift. No fake progress. Just actual reliable agentic coding npx mythos-router chat github.com/thewaltero/myt…

Small addition: mythos chat --branch Creates a separate branch to isolate experiments from your main branch Good for devs doing bigger changes without touching working code, as an extra layer of safety if something doesn’t work

Self Healing Memory Update 🫡 Just hardened the memory engine. What’s new: Added a SQLite index on top of memory logs for fast search as history grows Your history still lives in a memory.md file. The database is just a fast search layer built on top of it On startup it verifies the SHA-256 hash. If anything drifts or gets edited, it rebuilds the index from the file Result is a local first memory system with a disposable index and zero hidden state

590 → 732 in less than 24h

this random korean guy built agent pipeline that pushed over 500 commits to 100+ major open-source repos in just 72 hours real maintainers from kubernetes, huggingface, and ollama actually merged his prs. and then github completely suspended his account here is exactly what happened > he spent months designing a 13-step "harness engineering" pipeline > the agent autonomously scanned recent merges, extracted fix/security candidates, and decided whether to branch out > he targeted massive projects like vllm, ray, zenml, and dagster > why didn't his prs get immediately closed as "ai slop"? because of step 5 - local reproduction > if the agent could not actually reproduce the bug in a local fork, the candidate was instantly killed > opening a pr saying "i think this is a bug" is noise. proving it locally gets you merged > he thought that the second secret was step 8 > instead of making the ai read the official contributing guidelines, the pipeline analyzed the 10 most recently merged prs in the target repo > the "social formatting" of what actually gets accepted is way more accurate in the recent merge history so why the ban > github's abuse detection cares about speed > touching 100 repos in 72 hours is indistinguishable from a spam bot > the platform reacted to the massive volume, even though the actual human maintainers were accepting the code i think this raises a massive question for the agentic era > how do platforms actually differentiate between a autonomous pipeline and a malicious spam bot > right now, they clearly can't > legacy abuse detection systems are entirely built around velocity and volume > if an ai agent pushes 500 perfectly valid, locally-tested commits to major repos in 72 hours, github's algorithm doesn't see a revolutionary engineering harness, but it just sees a ddos attack

Trapping AI hallucinations before they reach your code. SWD forces the machine to sync with reality before every line is written. Validated engineering or nothing mythosrouter.com/protocol

A few small tweaks Mythos Router v1.1.7 - Review every change as a live diff before applying - See every addition and deletion line by line - Rejecting any part reverts the entire change

We’ve identified a security incident that involved unauthorized access to certain internal Vercel systems, impacting a limited subset of customers. Please see our security bulletin: vercel.com/kb/bulletin/ve…

600+ weekly downloads on NPM for Mythos Router More than half of these are probably bots and mirrors. But the other half? That’s devs tired of AI hallucinations But the trend is clear Install: npm i -g mythos-router Run: npx mythos-router chat

Dex updated! dexscreener.com/base/0xf6ca0d6…

@iQuantumKnight @mythosrouter Now that mythos router has an official X account and logo, I'll get on that

@thewaltero @mythosrouter Any updates about DEX ?

Launched @mythosrouter for clearer, more frequent updates on Mythos Router Keeping the focus on the repo Recent fixes: • Deduplicated the internal progressBar utility • Added validation and warnings for invalid --effort flag values • Improved path traversal detection in resolveSafePath • Fixed a memory leak in long REPL sessions

For the first time ever, all three major labs are tied on Artificial Analysis

in action

What happens when an agent hallucinates a file write? Mythos Router triggers a correction turn It feeds the real filesystem state back into the model and verifies every change The model either fixes the code or hands control back to you

Just pushed Multi-Model Orchestration to the Mythos Router! Don't just talk to one model 👇 Opus 4.7 does the Thinking (Architecture/Plan) Sonnet 3.5 does the Writing (The actual code blocks) Haiku does the Verifying (Checking for syntax errors) 1/5th the API cost 👀

The Claude Code hackathon is back for Opus 4.7. Join builders from around the world for a week with the Claude Code team in the room, with a prize pool of $100K in API credits. Apply by Sunday: cerebralvalley.ai/e/built-with-4…

Little addition, GitHub Ingester and code diff visualizer to the Mythos playground. Post a raw .ts link to your broken file, hit execute, and watch the agent rewrite it while visually rendering the diff down to the character block. Try it 👇

Want to see how SWD works under the hood before installing the CLI? Just shipped a Simulator on the website. Post an Anthropic key, type a prompt, and watch it show you exactly how the Strict Write Discipline engine formats, reasons, and verifies file operations in the CLI. Try here: mythosrouter.com/playground

Is Opus 4.7 the best model from Anthropic? No, that’s Mythos. Is it the best model we can use for code? No, that’s GPT-5.4. Is it the best model in the Opus line? No, that’s 4.5 It’s the best model released today I guess?