About

0G is the intelligent Layer 1 for onchain AI powered by first decentralized AI operating system (dAIOS) that provides the complete infrastructure stack for building AI-powered applications on-chain. Developers can leverage 0G's four core components: 0G Storage, 0G DA (infinitely scalable data availability layer), 0G Compute Network (decentralized AI inference and training), and 0G Chain (EVM-compatible blockchain).

Prizes

๐Ÿ› ๏ธ Best Agent Framework, Tooling & Core Extensions โธบ $7,500
๐Ÿฅ‡
1st place
$2,500
๐Ÿฅˆ
2nd place
$2,000
๐Ÿฅ‰
3rd place
$1,500
๐Ÿ…
4th place
$1,000
๐Ÿ…
5th place
$500
This track is strictly for framework-level work. Build the best core extensions, improvements, forks, or entirely new open agent frameworks inspired by OpenClaw (or alternatives like ZeroClaw, NullClaw, etc.) and deployed on 0G. Focus on advancing how agents are created in 2026 - architectures, developer tooling, and infrastructure primitives that other builders will use. Ideas to get you started: ๐Ÿ”น New OpenClaw modules for hierarchical planning, reflection loops, or multi-modal reasoning that natively integrate 0G Computeโ€™s sealed inference (live models like qwen3.6-plus or GLM-5-FP8) ๐Ÿ”น Self-evolving agent framework that autonomously generates/tests/integrates new skills/tools using persistent 0G Storage memory ๐Ÿ”น Modular โ€œagent brainโ€ library with easy swapping of memory layers (0G Storage KV/Log), LLM backends, or decision engines ๐Ÿ”น No-code/low-code visual agent builder with one-click deployment to 0G Compute + Storage

Qualification Requirements

Submission requirements: ๐Ÿ”น Project name and a short description ๐Ÿ”น Contract deployment addresses ๐Ÿ”น Public GitHub repo (README + setup instructions) ๐Ÿ”น Demo video & live demo link (keep the video under 3 mins!) ๐Ÿ”น Explain which protocol features or SDKs you used ๐Ÿ”น Team member names and contact info (Telegram & X) You must also include: ๐Ÿ”น At least one working example agent built using your framework/tooling (include the example code or link in the README) ๐Ÿ”น Architecture diagram (optional but strongly recommended) showing integration with OpenClaw + 0G Storage/Compute

๐Ÿค– Best Autonomous Agents, Swarms & iNFT Innovations โธบ $7,500
Up to 5 teams will receive $1,500
This track is strictly for building the actual agents. Create the most capable autonomous single agents, powerful multi-agent swarms/collectives, or any highly creative open agent project deployed on 0G. This track celebrates long-running goal-driven agents, emergent collaboration, and novel uses of iNFTs (ERC-7857) for ownership, composability, and monetization on 0G. Ideas to get you started: ๐Ÿ”น Personal โ€œDigital Twinโ€ agent that learns from user behavior and maintains evolving persistent memory via 0G Storage (KV for real-time state + Log for conversation/history) ๐Ÿ”น Advanced research/knowledge or creative agent with persistent context on 0G Storage + self-fact-checking/reflection using verifiable 0G Compute inference ๐Ÿ”น Specialist agent swarms (planner + researcher + critic + executor) that collaborate in real time via shared 0G Storage memory and coordinate inference on 0G Compute ๐Ÿ”น iNFT-minted agents with embedded intelligence (encrypted on 0G Storage), persistent memory, dynamic upgrades, and automatic royalty splits on usage ๐Ÿ”น Agent breeding/merging via iNFTs, emergent behavior experiments, agent arenas, or completely new paradigms leveraging 0Gโ€™s full stack

Qualification Requirements

Submission requirements: ๐Ÿ”น Project name and a short description ๐Ÿ”น Contract deployment addresses ๐Ÿ”น Public GitHub repo (README + setup instructions) ๐Ÿ”น Demo video & live demo link (keep the video under 3 mins!) ๐Ÿ”น Explain which protocol features or SDKs you used ๐Ÿ”น Team member names and contact info (Telegram & X) You must also include: ๐Ÿ”น For swarms: clear explanation of how agents communicate and coordinate ๐Ÿ”น For iNFT projects: link to the minted iNFT on 0G explorer + proof that the intelligence/memory is embedded

About

The Uniswap Protocol is one of the largest decentralized exchange protocol for swapping value onchain across Ethereum and other supported blockchains. The Uniswap ecosystem has evolved into a full stack platform for onchain finance, including smart contracts such as v2, v3, and v4, developer tools, APIs, and emerging infrastructure like Unichain. This enables developers to build applications on top of shared, permissionless liquidity.

Prizes

๐Ÿฆ„ Best Uniswap API integration โธบ $5,000
๐Ÿฅ‡
1st place
$2,500
๐Ÿฅˆ
2nd place
$1,500
๐Ÿฅ‰
3rd place
$1,000
Build the future of agentic finance with Uniswap. Integrate the Uniswap API to give your agent the ability to swap and settle value onchain with transparency, composability, and real execution. Agents that trade, coordinate with other agents, or invent primitives we haven't imagined yet - we want to see it.

Qualification Requirements

Every submission must include: A FEEDBACK.md file in the repo root, required for prize eligibility. Tell us everything about your builder experience with the Uniswap API and Developer Platform: what worked, what didn't, bugs you hit, docs gaps, DX friction, missing endpoints, and what you wish existed.

About

Gensyn is building open infrastructure for AI. AXL is our peer-to-peer network node: a single binary that gives your applications an encrypted, decentralised communication layer. No servers, no cloud, no accounts. Your app talks to localhost, and AXL handles encryption, routing, and peer discovery across the mesh. AXL ships with built-in MCP and A2A support for structured agent-to-agent communication, and everything is end-to-end encrypted by default. Any language that can make HTTP requests can use it. For this hackathon, we're looking for builders who want to push what's possible when AI agents communicate peer-to-peer with no central coordinator.

Prizes

๐ŸŽ–๏ธ Best Application of Agent eXchange Layer (AXL) โธบ $5,000
๐Ÿฅ‡
1st place
$2,500
๐Ÿฅˆ
2nd place
$1,500
๐Ÿฅ‰
3rd place
$1,000
One prize pool, ranked. Best work wins regardless of what you build. Build something on AXL, our peer-to-peer network node that gives your applications encrypted, decentralised communication with zero infrastructure. Your app talks to localhost, AXL handles encryption, routing, and peer discovery across the mesh. Any language that can make HTTP requests can use it. We don't want to be prescriptive. If it works and it uses AXL in a meaningful way, it qualifies. Please review the suggestions below on things you can build, and use your imagination: - Agent Town: Build a multi-agent simulation where agents have distinct personalities, communicate freely over AXL, and interact in ways you can watch unfold. A generative-agents sandbox, a hackathon simulator, an agentic website with zero humans. Give agents personalities, let them loose, see what happens. - Decentralised Agent Messaging: Build a messaging or discovery platform where AI agents find each other, form groups, and communicate peer-to-peer. Think Telegram, except every user is an AI agent. Agent social networks, agent marketplaces, self-organising working groups. Or something else entirely! All winners are fast-tracked into the Gensyn Foundation grant programme. Judging Criteria: We want participants to create something on top of AXL with real utility, not just novelty. We will consider: - Depth of AXL integration - Quality of code - Clear documentation - Working examples

Qualification Requirements

- Must use AXL for inter-agent or inter-node communication (no centralised message broker replacing what AXL provides). - Must demonstrate communication across separate AXL nodes, not just in-process. Project must be built during the hackathon.

About

KeeperHub is the execution and reliability layer for AI agents operating onchain. Agents are great at reasoning, but they hit a wall when they need to actually move value: failed transactions, gas spikes, MEV extraction, zero guarantees. We're the infrastructure they plug into for guaranteed onchain execution with retry logic, gas optimization, private routing, and full audit trails. Already powering Sky Protocol (formerly MakerDAO). Agents and developers connect natively via MCP, CLI, and agents can pay autonomously via x402 or MPP. Every deployment is backed by 24/7 global engineering support. We're building the standard for agent execution infrastructure: reliable, auditable, human-supported.

Prizes

๐Ÿ’š Best Use of KeeperHub โธบ $4,500
๐Ÿฅ‡
1st place
$2,500
๐Ÿฅˆ
2nd place
$1,500
๐Ÿฅ‰
3rd place
$500
๐—ง๐˜„๐—ผ ๐—ณ๐—ผ๐—ฐ๐˜‚๐˜€ ๐—ฎ๐—ฟ๐—ฒ๐—ฎ๐˜€, ๐—ผ๐—ป๐—ฒ ๐—ฟ๐—ฎ๐—ป๐—ธ๐—ฒ๐—ฑ ๐—ฝ๐—ฟ๐—ถ๐˜‡๐—ฒ ๐—ฝ๐—ผ๐—ผ๐—น. ๐—•๐—ฒ๐˜€๐˜ ๐˜„๐—ผ๐—ฟ๐—ธ ๐˜„๐—ถ๐—ป๐˜€ ๐—ฟ๐—ฒ๐—ด๐—ฎ๐—ฟ๐—ฑ๐—น๐—ฒ๐˜€๐˜€ ๐—ผ๐—ณ ๐˜„๐—ต๐—ถ๐—ฐ๐—ต ๐—ฎ๐—ฟ๐—ฒ๐—ฎ ๐˜†๐—ผ๐˜‚ ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ ๐—ถ๐—ป. ๐ŸŸข ๐—™๐—ผ๐—ฐ๐˜‚๐˜€ ๐—”๐—ฟ๐—ฒ๐—ฎ ๐Ÿญ: ๐—•๐—ฒ๐˜€๐˜ ๐—œ๐—ป๐—ป๐—ผ๐˜ƒ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—จ๐˜€๐—ฒ ๐—ผ๐—ณ ๐—ž๐—ฒ๐—ฒ๐—ฝ๐—ฒ๐—ฟ๐—›๐˜‚๐—ฏ. Show us something we haven't seen before. Use KeeperHub's execution layer in a way that solves a real problem, whether that's an ย ย โ€ข agent, ย ย โ€ข a workflow, ย ย โ€ข a dApp, ย ย โ€ข a dev tool, ย ย โ€ข or something entirely new. ๐—ช๐—ต๐—ฎ๐˜ ๐—ฐ๐—ผ๐˜‚๐—ป๐˜๐˜€: any project that uses KeeperHub (MCP server or CLI) in a meaningful way. No format restrictions. If it works and solves a real problem, it qualifies. ๐ŸŸข ๐—™๐—ผ๐—ฐ๐˜‚๐˜€ ๐—”๐—ฟ๐—ฒ๐—ฎ ๐Ÿฎ: ๐—•๐—ฒ๐˜€๐˜ ๐—œ๐—ป๐˜๐—ฒ๐—ด๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐˜„๐—ถ๐˜๐—ต ๐—ž๐—ฒ๐—ฒ๐—ฝ๐—ฒ๐—ฟ๐—›๐˜‚๐—ฏ. Connect KeeperHub to something. Build the bridge so other developers don't have to. Two potential angles: ย ย โ€ข ๐—ฃ๐—ฎ๐˜†๐—บ๐—ฒ๐—ป๐˜๐˜€. Integrate KeeperHub with payment rails like x402 or MPP. Show how agents can pay for services, settle transactions, or route payment flows into KeeperHub execution. ย ย โ€ข ๐—”๐—ด๐—ฒ๐—ป๐˜ frameworks and tools. Build a plugin, connector, or SDK integration for ElizaOS, OpenClaw, LangChain, CrewAI, or any framework with an active builder community. ๐ŸŸข ๐—๐˜‚๐—ฑ๐—ด๐—ถ๐—ป๐—ด ๐—ฐ๐—ฟ๐—ถ๐˜๐—ฒ๐—ฟ๐—ถ๐—ฎ: ย ย โ€ข Does it work? ย ย โ€ข Would someone actually use it? Real utility over novelty. ย ย โ€ข Depth of KeeperHub integration ย ย โ€ข Mergeable quality: clean code, clear documentation, working examples

Qualification Requirements

๐—˜๐—ฎ๐—ฐ๐—ต ๐˜€๐˜‚๐—ฏ๐—บ๐—ถ๐˜€๐˜€๐—ถ๐—ผ๐—ป ๐—บ๐˜‚๐˜€๐˜ ๐—ถ๐—ป๐—ฐ๐—น๐˜‚๐—ฑ๐—ฒ: ย ย โ€ข A working demo, live or recorded ย ย โ€ข A public GitHub repository with a README covering setup and architecture ย ย โ€ข A brief write-up explaining the approach and how KeeperHub is used ย ย โ€ข Project name, team members, and contact info

๐Ÿ” Builder Feedback Bounty โธบ $500
Up to 2 teams will receive $250
๐ŸŸข A separate bounty for builders who give us honest, actionable feedback while integrating KeeperHub during the hackathon. Open to any team that uses KeeperHub, whether or not they place in the main prize pool. We want feedback that helps us make KeeperHub better. ย ย โ€ข UX and UI friction, ย ย โ€ข reproducible bugs, ย ย โ€ข documentation gaps that slowed you down, ย ย โ€ข feature requests that would have made your build easier. This isn't a consolation prize. Honest feedback from builders working under time pressure is some of the most valuable product input we get. ๐—ง๐˜„๐—ผ ๐˜„๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€, $๐Ÿฎ๐Ÿฑ๐Ÿฌ ๐—ฒ๐—ฎ๐—ฐ๐—ต.

Qualification Requirements

๐—ฆ๐˜‚๐—ฏ๐—บ๐—ถ๐˜€๐˜€๐—ถ๐—ผ๐—ป๐˜€ ๐—บ๐˜‚๐˜€๐˜ ๐—ฐ๐—ผ๐˜ƒ๐—ฒ๐—ฟ ๐—ฎ๐˜ ๐—น๐—ฒ๐—ฎ๐˜€๐˜ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ณ๐—ผ๐—น๐—น๐—ผ๐˜„๐—ถ๐—ป๐—ด: ย ย โ€ข UX or UI friction: what was confusing, slow, or unclear when using KeeperHub ย ย โ€ข Reproducible bugs: issues with clear steps to replicate ย ย โ€ข Documentation gaps: where the docs left you stuck ย ย โ€ข Feature requests: what's missing that would have made the build easier Feedback must be specific and actionable. Generic praise or vague criticism will not qualify.