Project Name
Galeon
Project Website
Galeon.gameland.network
Project Brief
Galeon: A Fully Automated Multi-Agent Operating System for Web3.
At the heart of Galeon lies the Auto Agent Eco-Link, a central “intelligent brain” that enables a new way to interact with Web3: through a fully autonomous agent system that understands user intent, makes smart decisions, and executes on-chain actions without human intervention. Powered by the Auto Agent Mesh, Galeon orchestrates specialized agents into a collaborative network to complete complex tasks automatically.
What problem you’re solving
AI tools cannot truly execute on-chain tasks
While many LLM-based applications and Copilot-style tools exist, most only provide suggestions. They lack the ability to execute full workflows autonomously on-chain and cannot coordinate multiple tasks in a cohesive manner.
Agents are isolated and lack structured collaboration
Single-purpose agents can only handle simple tasks. Users must train or configure separate agents for each use case, resulting in low efficiency and high overhead.
Your solution and key features
Galeon is an autonomous multi-agent operating system for Web3, built around Auto Agent Eco-Link—a central intelligence layer that understands user intent, coordinates agents, and executes tasks on-chain.
It directly solves:
• “Too hard to use Web3” – Users only describe their goal; Galeon selects the right agents and completes the job automatically
• “AI can’t act” – Galeon’s agents go beyond suggestions; they perform real on-chain actions like trading, deploying contracts, calling functions
• “Lack of agent collaboration” – Instead of isolated bots, agents collaborate via Eco-Link to complete complex workflows (e.g., Alpha Signal → Auto Trading)
This unlocks an agent-to-agent operating system that transforms how users interact with DeFi, gaming, on-chain automation, and more.
Core Features — How It Works
Agent Mesh Orchestration
Dynamic team formation and task distribution across agents, with visual, low-code workflow assembly and reusable agent functions.
Outcome: complex, multi-step jobs become drag-and-compose pipelines.
Galeon Agent SDK
A modular SDK to compose agents like Lego — connect data, contracts, and external services to create advanced behaviors quickly.
Outcome: faster build cycles, consistent interfaces, production-ready execution.
Auto Agent Eco-Link
The “brain” that links and coordinates sub-agents — enabling shared learning, unified memory, cross-agent planning, sandboxed execution, and recovery.
Target users and market
1. Advanced Web3 Users & DeFi Traders
2. Web3 Developers & AI Agent Creators
Market Category:
Web3 Infrastructure × Autonomous Agent Layer
A new intersectional market that blends programmable on-chain execution, AI collaboration, and low-code composition—enabling app-like usability for decentralized workflows.
What makes your project unique
Galeon introduces a fundamentally new way to interact with Web3 by replacing fragmented, manual workflows with an autonomous multi-agent system. Instead of relying on single-purpose bots or isolated AI tools, Galeon uses a coordinated network of agents—powered by our Auto Agent Eco-Link—to understand intent, collaborate on tasks, and execute on-chain actions end-to-end.
This approach transforms Web3 from a tool-driven environment into an intelligent, self-operating layer. The combination of intent understanding, dynamic multi-agent collaboration, and autonomous execution creates a capability that traditional wallets, bots, or dashboards cannot replicate. It enables a level of automation, reliability, and intelligence that is only possible through a multi-agent architecture.
**How will you integrate 0G?
**
0G Integration
What we’ll do
1. Verifiable provenance: Store Alpha signals, confidence scores, and Auto Trade buy/sell details + P&L logs in 0G storage to create an auditable history.
2. Lightweight compute: Run daily backtests/summary stats on 0G compute; write results back to 0G.
3. Public read access: Provide read-only endpoints so users/partners can locate records via content hashes.
Features that use 0G
• Alpha Signal Engine: Raw signals + scoring versioned and notarized.
• Auto Trade Agent: Executions/TP-SL/P&L logs and daily summaries.
• Leaderboards & Reports: Aggregated strategy/account metrics produced via 0G compute.
How it’s implemented (no code)
• Write logs and stats to 0G using a unified JSON schema; receive content hashes.
• Anchor those hashes in Base/BNB on-chain events (lightweight).
• Run daily batches on 0G for backtests and metrics; persist results with data lineage.
Timeline
• W1–2: Wire up 0G read/write and hash anchoring.
• W3–4: Go live with signal/trade notarization + read-only queries.
• W5–6: Integrate 0G compute for backtests/leaderboards and expose dashboards.
Expected benefits
• More trust: Transparent, tamper-evident signals and trades—no black box.
• Lower overhead: Offload heavy storage/compute to 0G.
• Easier partnerships: Partners can verify via hashes—clean for BD/compliance and ecosystem collaboration.
Demo/Prototype: https://x.com/HelloGaleon/status/1991417478971527598
Twitter/X:https://x.com/HelloGaleon