Marge Simpson - sMITten Recursive Context Engine
Is now a FULL Featured - AI AGNOSTIC- Drop-in AI workflow for:
- Automated audits
- Bug fixes
- New feature SUGGESTIONS
- New feature IMPLEMENTATION
- Complete Automated Testing
for any codebase. BEATS ralph every time.
https://t.co/9ZJGdreRoE
#Claude #OpenAI #Marge #Antigravity #VSCode #RalphWiggum
🧵 1/9 It’s about to start getting REALLY busy on some of these existing chains.
Some insight:
Mostly because it’s about to or already has turn(ed) into a race and existing proven chains in the short term will just simply allow faster moves towards initial goals. ⬇️
PolySnipe update just shipped.
Yes its response time it LESS than 2 milliseconds.
Meaning when it sees a buy / sell condition, it immediately RIPS its in.
https://t.co/Wknlol8vr0
#PolySnipe#Polymarket@xPolyMon
After you initially setup PolySnipe (An automated polymarket betting app), you will see the wallet creation/funding card. This is all happening on your local system.
Introducing #PolySnipe: an experimental #Polymarket trading BASE you can run now and evolve.
Use it out of the box, fork, tweak, or build out your own signals, execution logic, and risk models.
https://t.co/Wknlol8vr0
@Polymarket@xPolyMon@PolymarketIntel
When not working on https://t.co/QOYO6K902e Im working on #PolySnipe
Trying to decide if I should release it on github. Its profitable and Im having fun but Im only one man with lots to do. Lots of possibilities
Just finished Beta today.
#Marge#knectAi#PolyMarket#PolySnipe
VERY NICE.
#KNECT will spotlight LUKSO. Its programmable profiles and account standards are built for entities that act onchain—including autonomous AI agents.
$KNECT is an omnichain asset and agent ecosystem for global markets, airdropped to $MARGE and $ETH stakers.
What LUKSO is (beyond finance + identity):
• Universal Profiles → composable onchain identities (humans, bots, agents, brands) with permissions, keys, and modules.
• LSP standards (ERC-725/735 evolution) → modular account architecture, not dumb wallets.
• Account abstraction by default → programmable permissions, recovery, delegation, agent keys.
• Rich metadata standards → structured profiles, assets, social graphs, reputation.
• Creator / social primitives → built for digital identities, brands, communities, IP.
• Interoperable identity layer → profiles can act across apps, not siloed NFTs.
• Future-proof infra → spec-driven standards, not just contracts.
Agent-friendly execution → delegation, role keys, automation without custodial hacks.
@lukso_io #MARGE #LUKSO #AgenticFinance
$KNECT Staking — Coming Online
Staking may activate at any point before the countdown completes, pending final testing and audits.
The staking & points model shown is a draft framework and may be refined prior to activation.
Current design notes:
- Points accrue based on time-weighted staking signals
- $MARGE currently uses a fixed ETH-equivalent weighting
- This may evolve into a dynamic multiplier (e.g. ~20�� baseline), enabling $MARGE to achieve higher relative weighting than ETH under specific conditions. (better for Marge)
https://t.co/9ZAzvc0CZw
#knect #marge #no_ico #crypto #ai
The $KNECT TGE is a #NO_ICO / NO TOKEN SALE Distribution Event.
An AIRDROP-only initiative based on staking assets that never leave your custody.
1 #ETH staked will be equivalent to staking 500,000 $MARGE, providing $MARGE stakers a ~20× weighting Advantage.
#KNECT#MARGE#ETH #AI #TokenGenerationEvent
Today I’m releasing Vanilla Studio (aka Marge Studio’s public base layer).
It’s the start of a local-first, lightweight, web IDE with AI assistance — what's unique is:
The IDE doesn’t ship “one personality.” It ships a personality system. ofc Default being the "default"
You can create modular personas that control:
- tool permissions (create/edit/delete files, etc.)
- UI traits + behavior
- system prompts / workflow style
So you can spin up:
- a CFSS doc/spec specialist
- a children’s book writer + art pipeline persona
- a hardcore code reviewer
- or a “god mode” generalist that can swap roles on demand
…and it’s all configured, not baked into the IDE.
Marge Studio will be our build on top of Vanilla Studio.
Repo: https://t.co/mbwgGCbs4i
#Claude #OpenAI #Marge #Antigravity #VSCode
Did you know you can spin up a small council of agents/experts — and have them deliberate not just on what to do, but on who should implement it?
MULTI AGENT DELIBERATION is a paradigm shift where complex problems are not solved by a single, monolithic model, but by a team of specialized, autonomous AI agents/experts that communicate, debate, critique, and refine their work.
M.A.R.G.E:
M — Mandated Specialists (task-scoped experts, not one blob)
A — Arbitration (they debate, then pick the best path + implementer)
R — Review Loops (critique, catch false positives, tighten scope)
G — Guardrails (rules + constraints that keep it sane)
E — Executable Output (artifacts you can run, diff, and ship)
Less “AI assistant.” More engineered intelligence.
Marge is well on its way.
https://t.co/MtT6OBGvHa
#Claude #OpenAI #Marge #Antigravity #VSCode
#Marge interested parties: heads up — I’ll be unusually quiet today.
I’m building the next stage of the project and it needs a full day of focus. (It's marge related and NEW)
In the meantime, the recursive context assistant is in a really solid place — try it and kick the tires while I ship.
Run an audit on your repo and tell me what breaks / what feels frictiony.
https://t.co/MtT6OBGvHa
#Marge #Marge #Marge #Marge
#Marge is a project-scoped workflow layer for AI coding: rules (AGENTS), modular experts/knowledge, tracking docs, audit/planning modes, and a CLI that can run per project or globally.
It also has an explicit “loop mode” you can invoke on demand.
Just some of the things Marge can do 🧵
https://t.co/MtT6OBGvHa
#Claude #OpenAI #Marge #Antigravity #VSCode
Arduous day, but 100% worth it. Did a lot of housecleaning to simplify #Marge — fewer moving parts, clearer flows, easier to use.
Sometimes you have to make a mess to clean one. Today was that day.
#WIZARD branch now "#Merged"
https://t.co/MtT6OBGvHa
#Claude#Marge #Antigravity #VSCode #AI #Context
You need a project manager layer for almost anything serious you do with an AI assistant.
Not because the model is dumb — because language is ambiguous. “Do X” can mean ten different things depending on context, constraints, and your standards.
That’s what frameworks/PM guides do: they hold scope, goals, rules, and checkpoints so the assistant stays on track and doesn’t drift.
And if that PM layer actually knows your preferences (how you like things structured, what you never want touched, your taste, your tradeoffs), it stops being “prompting” and starts being delegation.
🤖 The "AI-as-You" challenge is genuinely hard.
Any AI with command access can be manipulated via prompt injection. That's not a #Clawdbot problem — it's an industry-wide challenge.
Clawdbot actually handles this better than most. Here's why...
https://t.co/UsmkJIwvp2
Audited with #Marge:
https://t.co/3pj3u9Ft7T
#Claude #OpenAI #Marge #Antigravity #VSCode #DevTools
🔒 Just used #Marge to complete a comprehensive security audit of #clawdbot, an AI agent that runs with FULL computer access.
Here's what happens when you let AI act as YOU:
- Run shell commands ✅
- Read/write files ✅
- Send messages as you ✅
16 issues found. 4 CRITICAL.
4 the record, I genuinely like @openclaw. It's going to turn into something very nice.
Full report 👇
https://t.co/UsmkJIwvp2
#Claude #OpenAI #Marge #Antigravity #VSCode #DevTools