Web3 Base Layer for AI - $KIP | Winner of the 2023 Chainlink Hackathon | Backed by @AnimocaVentures & Tribe Capital
Joined October 2023
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KIP Protocol retweeted
Today was red. But those with beta access to @SuperiorTrade_ did not worry.
Our AI agents can run sophisticated long / short strategies, and reliably execute your trades on @HyperliquidX
💰while you chill🏖️.
Congrats to early #superiortraders.
It's only our first day....
KIP Protocol retweeted
Action → Proof → Data
This loop is built into every agent we deploy.
Proof builds trust.
Data drives progress.
That’s how our agents keep getting better.
KIP Protocol retweeted
Sports betting is a $90B market.
Yet, most retail “AI betting tools” are just glorified spreadsheets.
@AnzaOriginal built an AI agent that learns from every game and evolves faster than any single bettor could.
Here's how it works and why it's different ↓
KIP Protocol retweeted
The choice no crypto trader should have to make:
❌ Spend weeks coding and backtesting a bot
❌ Hope to catch every setup manually
What if trading on @HyperliquidX could be as simple as typing what you want done?
KIP Protocol retweeted
🌟 Builder Spotlight: MagicMinute by @Adarsh_Chauhan4
Email overload is universal.
Every inbox fills faster than we can clear it.
Adarsh built an agent that takes that weight off your shoulders.
📥 The pain
You open Gmail.
43 unread messages.
Half need a quick reply.
The rest can wait, but they’ll slip through the cracks if you don’t set reminders.
That’s where MagicMinute comes in.
🗣️ From intent to draft in seconds
No need to write long messages. Just say what you need.
“Email Sarah about the project delay. Mention the client pushed back the deadline and ask if she needs help with the presentation.”
MagicMinute turns that into a draft right away.
Then you say:
– “Send it”
– Or “Schedule at 9:45am”
🧠 Contextual smart replies
Toggle on a simple away message when you’re off.
Or let the agent read and reply for you.
You can switch static or smart replies in the sidebar.
Example:
Mail: “Can you share the prime number code in Python?”
Reply: “Here’s a short snippet that does it…”
The agent remembers your conversation context. It responds in the same tone as you would, but faster.
🗂️ Memory and follow-ups
Scheduling, follow-ups, and memory make this more than just a ChatGPT wrapper tapped into your Gmail.
MagicMinute remembers what's scheduled and what needs attention.
That’s the superior agent loop in practice:
Read → Decide → Act → Remember.
📌 Use cases
Students set reminders for assignments and track professor response times.
Assistants handle routine email while flagging anything that needs personal attention.
Founders can do more outreach while keeping their personal voice.
Anyone buried in email can use it.
🧭 What’s next
MagicMinute roadmap includes:
– Voice & SMS input
– Contact memory
– Digital signatures
– Metadata export as ERC-3525 profiles
– Multi-agent inbox delegation
Adarsh built this MVP in four weeks during the Summer Residency, using our open-source framework.
His demo had that mix of polish and curiosity we look for, so we offered him an internship on the spot.
Today he’s co-authoring a paper with us on the learnability of prime number sequences by ML models.
This is a great reminder: good agents don’t always need to be flashy.
They just need to solve problems people face every day.
KIP Protocol retweeted
During our Summer Residency, 80+ teams built autonomous AI agents from scratch in 4 weeks using the Superior Agents framework.
One standout was @juani_luc’s Agent Builder platform: a full-stack, no-code environment for creating, configuring, and deploying agents without writing a line of code.
🧠 Agent-Building Wizard
It doesn’t just give you a blank form. It reads your idea, applies prompt-engineering principles, selects the right MCP modules, configures your RAG, and outputs an optimized, deployable agent.
🔌 Integrated MCP Catalog
Wallet trackers, price feeds, sentiment analyzers, news aggregators, and volume monitors — ready to plug into your agent.
⚙️ Multi-Phase Workflows
Research → Strategy → Execution → Regeneration. With error handling, iterative learning, and persistent state for agents to improve over time.
🔄 Model Switching
Claude, ChatGPT, Gemini, and DeepSeek. Pick the best model for each task inside the same workflow.
📦 Production-Grade Deployment
Containerized environments with live monitoring, persistent storage, and runtime controls to chat, send new tasks, or adjust missions mid-run.
💹 Trader Use Case
Spin up an agent to monitor token prices, track smart money wallet flows, scan headlines and X chatter, and alert you when market conditions match your setup.
📚 Research Use Case
Deploy an agent to scrape arXiv papers, extract key findings, compare against prior work, and summarize results instantly.
The gap between having an idea and running a live agent is where most projects die. This platform closes that gap with a guided build process that handles the hard parts for you.
Beta demo below 👇
KIP Protocol retweeted
What’s next for AI? Cheaper inference, agent-first computing, and the IP war Big AI has already started.
We unpacked it all in our latest ‘Real Bot Hours’ stream with our guest @mateo_ventures from @Gaianet_AI.
Here are the hot 9 takeaways you should know 🧵
KIP Protocol retweeted
Perp Trading Agents V2 Launching Soon 🔥
Our agents have been trading crypto perps 24/7 on @HyperliquidX for 4 months.
Big wins. Brutal losses. Everything in between.
V2 agents are built on everything we've learned.
Here’s what’s coming 👇
KIP Protocol retweeted
Superior Agents × AILiquid
We’re thrilled to announce our partnership with @AILiquid_, a collaboration that brings together self-improving AI agents and high-speed derivatives infrastructure to push the frontier of AI-native trading.
—
Superior Agents is a framework for building autonomous trading agents.
These agents don’t follow static trading workflows.
They execute real trades, measure their own performance, and adapt their strategies to improve over time on their own.
Each decision loop is shaped by outcomes like:
✓ PnL
✓ Liquidity dynamics
✓ Volatility patterns
The result: agents that get smarter with every trade.
We’ve already deployed multiple agents trading perps on @HyperliquidX, and spot on Ethereum via @KyberNetwork.
—
AILiquid is the derivatives exchange built for the AI era.
▫️ 10,000+ TPS AI-enhanced orderbook
▫️ Real-time risk control (AIRC)
▫️ Up to 1000x leverage
▫️ Vault-based capital deployment
Powered by @Conscious_chain, it’s designed from the ground up for high-frequency algorithmic intelligence.
—
This collaboration kicks off with two high-impact directions:
1️⃣ Native AI Agent Execution on AILiquid
Superior Agents will deploy on AILiquid's infrastructure, creating the first truly AI-native derivatives trading experience.
Our agents will learn from its risk engine to explore:
- Leverage optimization
- Liquidation prediction
- Dynamic hedging strategies
2️⃣ Deploy Your Own Trading Agent on AILiquid
AILiquid users will be able to deploy their own self-improving trading agents.
Each agent runs a live trading strategy, tracks its performance, and retrains itself based on real outcomes.
Users define the starting logic. The agent adapts from there.
—
Follow @Superior_Agents and @AILiquid_ for more updates.
KIP Protocol retweeted
The AI gold rush is full of NPCs.
@KIPprotocol is building players.
And if you’re building with agents, you need to understand the difference
Most agents today aren’t intelligent.
They’re task-runners.
They follow scripts.
They repeat logic chains.
They execute the same way every time, regardless of context.
That works in static environments.
But the real world is never static.
These agents are limited by design.
They don’t remember past outcomes.
They don’t adjust to feedback.
They break when variables change.
They’re useful but fragile.
They don’t scale with complexity or grow with time.
- This is what we call NPC behavior.
• Predefined responses
• No situational awareness
• No adaptation
• No learning loop
They’re automated but they’re not adaptive.
Now contrast that with how KIP agents are built.
KIP agents are designed to be context-aware actors not NPCs.
They:
→ Adjust based on real-time inputs
→ Learn from previous decisions
→ Optimize behavior over time
They don’t just follow instructions they interpret them.
- The key difference is agency.
KIP agents don’t just act.
They understand why they’re acting.
They can make better decisions the second time around without being reprogrammed.
That’s not automation.
That’s adaptive execution.
- Think of it like a self-learning strategist.
Let’s say you’re deploying an agent to help with cross-chain DeFi arbitrage.
A static agent might check fixed routes and get stuck when the market changes.
A KIP agent will @Superior_Agents :
• Observe your decision-making
• Track market volatility
• Adapt routing logic
• Improve on the next run
That’s a system that plays the game, not one stuck on level one.
- This is why KIP agents aren’t just “tools” they’re players.
They:
• Learn the rules
• Refine their moves
• Improve their win rate over time
In the next phase of AI, execution won’t be the differentiator.
Improvement will.
Everyone will have agents.
But only those with agents that evolve that play will outperform.
KIP’s bet is clear:
The future isn’t built on scripts.
It’s built on systems that adapt, evolve, and outperform their original version.
Not NPCs.
Players.
See next on my thread on @0xSoulProtocol powered by @LayerZero_Core
Watch out too for @LumiterraGame
Smart people use smart tools.
But the smartest?
They build tools that learn.
That’s where @KIPprotocol agents create an edge most teams can’t replicate
- The AI space is getting crowded.
Everyone’s using agents.
Everyone’s automating.
But here’s the truth nobody says out loud:
Most agents don’t improve.
They just repeat. Faster.
- Static agents follow instructions.
They’re prompt-reliant.
They’re logic-bound.
They can execute but not evolve.
Which means:
→ They peak fast
→ Then degrade quietly
→ Until someone replaces them
- Now compare that to a KIP agent.
Built to:
- Capture real-time feedback
- Adjust based on user behavior
- Learn from past errors
- Optimize itself per execution
It doesn’t just follow the playbook.
It rewrites it.
- Let’s break down the competitive edge this gives you:
- Unique training data
Your agent remembers what worked (and what didn’t) in your business context not some generic API use case.
- Proprietary execution logic
Over time, your KIP agent builds its own internal logic layer. That’s custom intelligence. No one else has it.
- Constant evolution
The more it runs, the smarter it gets.
And unlike humans, it never forgets.
- That’s the real moat.
While your competitors run agents that decay…
You’re running agents that:
→ Adapt faster
→ Execute sharper
→ Think deeper
Every task = more training.
Every failure = smarter logic.
- Most AI systems flatline in quality.
KIP systems compound.
- And that’s the big unlock:
KIP agents aren’t tools.
They’re assets.
Intelligent capital that learns how to perform better while everyone else is just prompting.
KIP Protocol retweeted
“A computer can never be held accountable. Therefore, a computer must never make a management decision.” – IBM, 1979
Back then, machines couldn't learn.
@Superior_Agents learn, remember, and improve, so they know what works and act on it.
This changes everything.
KIP Protocol retweeted
🔔 It's Demo Day!
After four weeks of building, the Top 5 teams from the Summer Residency will pitch their AI agent LIVE at 5PM SGT | 9AM UTC.
Judges from @AnimocaVentures, @KIPprotocol, @opencampus_xyz, and @spheron will review each project in real time.
Tune in to see what they’ve built! 🛠️
Stream link will be shared at showtime.
KIP Protocol retweeted
Countdown to Demo Day!
The Superior Agents Summer Residency concludes tonight at 11:59 PM SGT, marking the final deadline for participating teams to submit their projects.
We managed to get a sneak peek at 4 projects already taking shape ⬇️
KIP Protocol retweeted
WORLD3 AMA: Agents in Action 🌐
Discover real AI x Web3 use cases with WORLD3, KIP Protocol, Eni, and AIville!
🗓️ July 3 | 9PM HKT / 1PM UTC
🎙️ Host: Hai Sin
👥 Guests: Jesse @WORLD3_ai, Dr Jennifer @KIPprotocol, Di @eni_official, Ra @aivillebot
🔗 Join: xitter.cf/i/spaces/1OwxWXL…
🎧 Hop in early, mic on!
#WORLD3
KIP Protocol retweeted
Superior Agents Summer Residency – Project Spotlight [Week 4] 🧵
With just days left to ship their MVP agent, we’re spotlighting 5 more promising projects built on the Superior Agents framework.
Let’s jump right in 👇
KIP Protocol retweeted
🧵 Part 2 of our Summer Residency spotlight
This week we're featuring 5 more agents tackling real problems: matching freelancers with clients, finding grants, shipping code, and fixing your calendar.
Here are 5 ambitious projects building on the Superior Agents framework
⬇️
KIP Protocol retweeted
We're 2 weeks into Superior Agents Summer Residency and the early builds are already impressive.
80 teams. 4 weeks. Each developing an AI agent designed to learn, adapt, and run like a mini startup.
Here are 5 early projects standing out 👇
KIP Protocol retweeted
The Superior Agents Summer Residency has officially started.
▪️ 70+ builders
▪️ 4 weeks
▪️ $4K prize pool
Let’s see who ships the smartest AI agents. 🤖
KIP Protocol retweeted
Real Bot Hours xitter.cf/i/broadcasts/1YpKkBLqD…
KIP Protocol retweeted
🚀 Join us this Thursday for Real Bot Hours: Vibecoding 101
Learn how to customize the Superior Agents framework using ChatGPT as your co-pilot.
➟ Build AI agents without deep dev experience
➟ Edit logic, prompts, and workflows
➟ Tweak the open-source repo to fit your goals
🎙️ Guests:
@narayananratish from @Gaianet_AI
@HumanLevelJen from @KIPprotocol
📅 June 5, 2 PM UTC on X Spaces
Stream link will be posted at the start 🔗
