🎉 Gate Square Growth Points Summer Lucky Draw Round 1️⃣ 2️⃣ Is Live!
🎁 Prize pool over $10,000! Win Huawei Mate Tri-fold Phone, F1 Red Bull Racing Car Model, exclusive Gate merch, popular tokens & more!
Try your luck now 👉 https://www.gate.com/activities/pointprize?now_period=12
How to earn Growth Points fast?
1️⃣ Go to [Square], tap the icon next to your avatar to enter [Community Center]
2️⃣ Complete daily tasks like posting, commenting, liking, and chatting to earn points
100% chance to win — prizes guaranteed! Come and draw now!
Event ends: August 9, 16:00 UTC
More details: https://www
I just saw a post from @TheoriqAI, talking about TheoRooAI and Yapybara "escaping the dark forest" and then embarking on an autonomous driving journey, just like AlphaSwarm's promise of gradually earning trust in Decentralized Finance.
They want to express through comics that AI agents in the Decentralized Finance world, just like driving and exploring, need to accumulate mileage to build trust.
AlphaSwarm is an Agent Swarm toolkit launched by Theoriq, centered around a complete Python SDK for quickly building LLM-driven AI financial agents, enabling automated execution of strategies such as cross-chain trading, liquidity provisioning, and yield optimization.
It combines three roles into a closed-loop system: the Portal Agent is responsible for observing user status, the Knowledge Agent pulls data for strategy analysis, and the LP Assistant is responsible for generating executable code suggestions, ultimately executing the transaction with a single click. The process is transparent and secure, with user assets always self-custodied.
This mode of division of labor is actually team collaboration. Each agent specializes in a part and works together to complete complex tasks.
The trust model behind it relies on on-chain registration, reputation scores, and task result records. If an agent is unreliable, they will be downgraded or even lose trust. Every agent must deliver "performance" to earn trust. There are no agents who rise to prominence through expectations and boasting. Similar to Tesla's autonomous driving, you are only trusted if you drive well; the system must be used only after the user's actual performance is demonstrated.
Technically, AlphaSwarm does not directly drive trading strategies using LLMs, but instead converts natural language strategies into deterministic code, which is then executed by an agent cluster, avoiding hallucination and operational errors, and can be verified and audited on-chain.
For users, it means simplified operations, professional strategies, and visual risk control. There is no need for manual approval of 3 protocols, nor do you have to approve tokens back and forth. AlphaSwarm will automatically adjust positions and optimize returns based on market conditions and strategies, truly achieving a prompt for action and executing everything. The experience is directly maximized!
@TheoriqAI AlphaSwarm truly transforms agentic DeFi into a "driving experience" — intelligent, specialized, verifiable, and secure. This type of protocol will undoubtedly become more and more common in the future, allowing everyone to engage with DeFi at their own level of understanding.