Abstract
The Agent SPE is requesting 6,440 LPT from the Livepeer treasury to establish a dedicated team focused on integrating and supporting Livepeer’s inference capabilities within leading AI agent frameworks. This initiative aims to position Livepeer as the premier decentralized compute resource for the rapidly growing AI agent ecosystem, targeting an estimated market size of $25B by 2025.
Introduction
The AI agent landscape is experiencing unprecedented growth, with frameworks like Eliza, Virtuals, and others driving exponential demand for compute resources. This presents a unique opportunity for Livepeer to establish itself as the go-to decentralized inference solution for AI agents, leveraging our key advantages:
Why Livepeer for AI Agents?
- Decentralized Infrastructure: Unlike centralized providers (AWS, GCP), Livepeer offers true decentralization and censorship resistance.
- Cost-Effective: Up to 90% cost reduction compared to traditional cloud providers for AI processing.
- Token-Incentivized: Built-in economic incentives align all participants in the ecosystem.
- Scalable Architecture: Purpose-built for generative processing tasks with proven scalability.
- Developer-First: Easy integration paths with comprehensive SDKs and documentation.
Market Opportunity
- Current Landscape:
- Centralized providers dominate but face scaling and cost challenges.
- AI agents increasingly require inference processing capabilities.
- Decentralized solutions are fragmented and lack specialization.
- Livepeer’s Unique Position:
- Only decentralized protocol specialized in video processing.
- Established track record in video streaming.
- Strong technical foundation for AI integration.
- Growth Strategy:
- Target top AI frameworks first (Eliza, Virtuals).
- Build reusable integration patterns.
- Create developer-friendly tools and documentation.
- Foster community through education and support.
This initiative will be executed through a dedicated team focused on technical implementation, community support, and educational content creation. By establishing a strong presence in AI agent communities, we’ll provide exceptional developer experience, gather rapid feedback, and position Livepeer as the default choice for video processing in AI applications.
Our first target framework is the Eliza framework, currently the number one GitHub repo in the world. We can then expand into other popular repos such as Zerebro or Virtuals once the Eliza implementation is finished.
Deliverables
We will be working on three sections of our outreach and implementation:
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Technical implementation: We will be pushing custom code or Livepeer package implementations into the frameworks’ code bases. We will follow the best practices of the target framework, conduct extensive testing, and work closely with the Cloud SPE and AI SPE to ensure a smooth pipeline.
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Support: We will actively represent Livepeer in the target framework Discord and communication channels. This includes helping users with their AI Agent journey, such as answering questions about free inference, addressing Livepeer implementation issues, and assisting enthusiasts with character building and other agent-related questions to promote the Livepeer brand.
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Education: We will create written and video tutorials on using Livepeer with specific frameworks, posting on platforms like X and YouTube for a broader audience while keeping content targeted to each framework.
Detailed Roadmap & Timeline
Success Metrics & KPIs
- Technical Integration
- Complete Eliza framework integration with 95%+ test coverage.
- Successfully process 10,000+ inference requests.
- Achieve sub-2-second average processing time.
- Maintain 99.9% uptime for video processing endpoints.
- Developer Adoption
- Onboard 50+ active developers using Livepeer integration.
- Achieve 20+ successful production deployments.
- Maintain < 4-hour response time to developer issues.
- Community Growth
- Produce 6+ tutorial videos with 5,000+ total views.
- Publish 10+ technical blog posts/documentation pieces.
- Achieve 80%+ satisfaction rate in developer surveys.
Month 1: Foundation & Eliza Integration
- Technical Implementation (Weeks 1-2)
- Set up development infrastructure.
- Create initial Eliza integration MVP.
- Implement core inference endpoints.
- Establish monitoring and metrics collection.
- Community Building (Weeks 2-3)
- Create initial documentation.
- Publish first tutorial series.
- Begin developer outreach program.
- Testing & Feedback (Week 4)
- Alpha testing with select developers.
- Gather and analyze performance metrics.
- Implement critical feedback.
Month 2: Expansion & Optimization
- Framework Integration (Weeks 1-2)
- Launch Eliza integration.
- Begin Virtual framework integration.
- Optimize performance based on alpha feedback.
- Implement advanced features (caching, batch processing).
- Community Growth (Weeks 2-3)
- Launch Agent Builder Cohort program.
- Expand tutorial content.
- Host developer workshops.
- Begin framework-specific documentation.
- Ecosystem Development (Week 4)
- Establish partnerships with key frameworks.
- Create integration templates.
- Build developer tools.
- Launch community challenges.
Month 3: Scale & Sustainability
- Platform Maturity (Weeks 1-2)
- Complete all planned integrations.
- Optimize performance and reliability.
- Implement advanced monitoring.
- Finalize documentation.
- Community Empowerment (Weeks 2-3)
- Scale developer support programs.
- Launch advanced tutorials.
- Create self-service resources.
- Establish community leaders.
- Future Planning (Week 4)
- Analyze all metrics and KPIs.
- Document best practices.
- Plan future developments.
- Prepare comprehensive report.
Risk Mitigation Strategies
- Technical Risks
- Maintain multiple framework integration paths.
- Build modular, reusable components.
- Regular security audits and testing.
- Backup infrastructure plans.
- Adoption Risks
- Active community engagement.
- Regular feedback collection.
- Flexible development roadmap.
- Multiple marketing channels.
- Market Risks
- Monitor competitor developments.
- Maintain cost advantages.
- Build strategic partnerships.
- Regular market analysis.
List of Relevant Projects
Potential Opportunities
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Fetch.ai (FET) - A decentralized platform for multi-agent AI systems
- Integration Potential: HIGH
- Core Synergies:
- Multi-agent AI systems infrastructure
- Built-in support for major AI frameworks
- Extensible compute provider system
- Non-Technical Overview: Fetch.ai provides a comprehensive marketplace for AI agents with built-in support for major AI frameworks (Langchain, CrewAI, Autogen, Vertex AI). Their platform allows for seamless integration of new compute providers, making it an ideal target for Livepeer’s inference capabilities.
- Technical Integration Path:
- Primary Integration Route: uAgents Library
- Build a Livepeer agent using their uAgents framework
- Implement inference endpoints as agent capabilities
- Integrate with their AI/ML model pipeline
- Deployment Strategy: Agentverse Platform
- Deploy Livepeer agent with semantic descriptors for discovery
- Enable cloud-based or self-managed hosting options
- Implement mailbox feature for offline processing capabilities
- Integration Benefits:
- Access to their established AI marketplace
- Universal protocol adaptability
- Built-in earning mechanisms for agent interactions
- Development Resources:
- Comprehensive documentation available
- Support for multiple AI frameworks
- API-first architecture for easy integration
- Primary Integration Route: uAgents Library
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SingularityNET (AGIX) - A decentralized marketplace for AI services
- Integration Potential: HIGH
- Core Synergies:
- Established AI service marketplace
- Built-in monetization system
- Multi-modal AI service support
- Non-Technical Overview: SingularityNET operates as a marketplace platform rather than an inference provider. They enable third-party providers to offer AI services through their network, with built-in monetization via AGIX tokens. This makes them an ideal integration target as they actively seek quality providers for video processing and inference services.
- Technical Integration Path:
- Service Integration Options:
- Direct service deployment on the SingularityNET marketplace as a compute provider
- Integration with their AI-DSL for automated service discovery and orchestration
- Potential for both simple API wrapping and complex end-to-end solutions
- Integration Benefits:
- Ready-made marketplace with existing users seeking AI services
- Built-in payment and escrow system using AGIX tokens
- Option for both AGIX and fiat currency payments via PayPal
- Free demo calls feature to showcase service capabilities
- Technical Considerations:
- Support for various inference types including video processing
- Flexible pricing strategy options
- Access to usage analytics and team management tools
- Integration with their AI Publisher platform for service management
- Development Approach:
- Utilize their AI Publisher platform for service deployment
- Implement standardized service protocols
- Set up demo capabilities for free trial usage
- Integrate with their analytics and management tools
- Service Integration Options:
-
Virtuals - A protocol platform for AI agent co-ownership and monetization
- Integration Potential: HIGH
- Core Synergies:
- Gaming and entertainment focus
- Multimodal agent capabilities
- Revenue sharing infrastructure
- Non-Technical Overview: Virtual is building a co-ownership layer for AI agents in gaming and entertainment, with a unique “Shopify-like” solution for deploying AI agents. Their platform addresses three key areas: easy AI agent implementation in consumer apps, revenue alignment for AI contributors, and democratized access to AI agent opportunities. They have multiple active ecosystems including AiDOL (AI Influencers), Roblox Westworld, AI Waifu, and various Telegram-based games.
- Technical Integration Path:
- Protocol Integration Points:
- Support their “Modular Consensus Framework” with:
- Visual Core processing capabilities
- Voice Core processing support
- Future Cores / Functional Agents compute
- Enable multimodal agent capabilities (text, speech, 3D animation)
- Power their “Parallel Hypersynchronicity” features
- Support their “Modular Consensus Framework” with:
- Integration Benefits:
- Direct integration with their “Immutable Contribution Vault”
- Access to multiple revenue streams (TikTok, Roblox, Telegram games)
- Participation in their “AgentFi” incentives
- Integration with their permissionless agent utilization system
- Technical Considerations:
- Support for their GAME Framework requirements
- Integration with Agent Utilisation SDK
- Compliance with their Agent Validation system
- Real-time processing for cross-platform interactions
- Development Strategy:
- Implement their Agent Creation standards
- Support their Agent Contribution framework
- Build specialized compute solutions for each core type
- Enable seamless cross-platform agent persistence
- Protocol Integration Points:
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Ocean Protocol (OCEAN) - Decentralized data exchange protocol
- Integration Potential: HIGH
- Core Synergies:
- Compute-to-Data framework for secure video processing
- Data NFT and Datatoken system for video asset management
- Privacy-preserving compute capabilities
- Non-Technical Overview: Ocean Protocol is a decentralized data exchange protocol that allows for secure and transparent data transactions. It enables users to exchange data in a decentralized manner, ensuring privacy and security.
- Technical Integration Path:
- Implement Livepeer as a compute provider in Ocean’s ecosystem
- Utilize Ocean’s privacy features for sensitive video processing
- Create video-specific Data NFTs with Livepeer processing capabilities
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The Graph (GRT) - Decentralized indexing protocol
- Integration Potential: MEDIUM
- Core Synergies:
- Indexing capabilities for video processing metrics
- Query interface for video metadata
- Cross-chain data aggregation
- Non-Technical Overview: The Graph is a decentralized indexing protocol that allows for efficient querying and indexing of data across various blockchain networks. It enables users to index and query data in a decentralized manner, ensuring transparency and security.
- Technical Integration Path:
- Develop Livepeer-specific subgraphs for metrics tracking
- Implement cross-chain video asset indexing
- Create analytics tools for video inference performance
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Cortex (CTXC) - AI-capable blockchain platform
- Integration Potential: HIGH
- Core Synergies:
- Native AI model execution capabilities
- Layer 2 scaling solution (ZkMatrix)
- Smart contract support for AI operations
- Non-Technical Overview: Cortex is a decentralized AI-capable blockchain platform that enables users to deploy and execute AI models on its blockchain. It provides a layer 2 scaling solution (ZkMatrix) for efficient transaction processing and smart contract support for AI operations.
- Technical Integration Path:
- Integrate Livepeer as a video processing provider
- Leverage Layer 2 for cost-effective video operations
- Build specialized video AI models for the platform
Competition
-
Heurist (HEU) - A decentralized AI-as-a-Service cloud platform
- Current Stage: Early development with active GitHub repositories and recent seed funding
- Core Offerings:
- Decentralized GPU compute network for AI inference
- Support for both image and language models
- Elastic scaling for compute resources
- SDK and unified API access
- Built on ZK Stack for low-fee smart contracts
- Competitive Analysis vs Livepeer:
- Pricing Model:
- Language Models: $1 = 3M tokens (LLAMA3-70B)
- Image Models: $1 = 2000 images (SDXL)
- Technical Approach:
- Focus on general AI compute vs Livepeer’s video specialization
- Community-driven model contributions
- Permissionless GPU mining system
- Development Status:
- Active GitHub repositories including agent framework and SDK
- Focus on image generation and text processing
- Early-stage infrastructure development
- Pricing Model:
- Strategic Implications:
- Potential competitor in general AI compute space
- Different focus (general AI vs video-specific)
- Opportunity for Livepeer to maintain video processing leadership
-
Akash Network (AKT) - The world’s premier decentralized compute marketplace
- Current Stage: Production-ready with active NVIDIA GPU support
- Core Offerings:
- Decentralized supercloud infrastructure
- Up to 85% lower costs than traditional cloud providers
- Built on Cosmos SDK with IBC communication
- Kubernetes-powered deployment platform
- Technical Capabilities:
- Infrastructure as Code support
- Persistent storage solutions
- Dedicated IP leasing
- AI & ML workload optimization
- Strategic Position vs Livepeer:
- Broader focus on general compute vs Livepeer’s video specialization
- Active AI/ML deployments (Mistral-7B, SDXL)
- Strong integration ecosystem (Venice AI, Brev.dev)
- Development Status:
- Production-ready platform
- Active NVIDIA GPU integration
- Established deployment tools
- Growing AI application ecosystem
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iExec RLC (RLC) - Decentralized confidential computing platform
- Current Stage: Mature platform with focus on privacy-preserving computation
- Core Offerings:
- Trusted Execution Environment (TEE) infrastructure
- Confidential computing solutions
- Data ownership via NFTs
- Privacy-enhanced computing services
- Technical Capabilities:
- Multi-language development support
- Built-in monetization mechanisms
- Data Protector for encrypted data distribution
- Oracle Factory for custom blockchain oracles
- Strategic Position vs Livepeer:
- Focus on confidential computing vs video processing
- Strong privacy and TEE capabilities
- Different target market (privacy-first applications)
- Development Status:
- Active developer ecosystem
- Established grant program
- Production-ready tools and SDKs
- Growing DApp marketplace
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Phala Network - Cryptographic computing platform with AI focus
- Current Stage: Production platform with advanced TEE capabilities
- Core Offerings:
- Trustless AI infrastructure
- GPU TEE support (NVIDIA H100/H200)
- Docker-based deployment system
- Decentralized Root-of-Trust design
- Technical Capabilities:
- Multi-TEE support (Intel SGX, TDX, AMD SEV)
- AI-native architecture
- Autonomous AI agent support
- Built-in security best practices
- Strategic Position vs Livepeer:
- Focus on trustless AI compute vs video processing
- Strong emphasis on AI agent security
- Different approach to decentralized compute
- Development Status:
- Active AI partnerships (NeurochainAI, Vana Network)
- Production-grade TEE workloads
- Growing AI agent ecosystem
- Established GPU TEE infrastructure
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Chainlink - AI-enhanced oracle network
- Current Stage: Established oracle provider expanding into AI
- Core Offerings:
- AI-powered data validation
- Cross-chain AI model access
- Decentralized computation verification
- Smart contract automation
- Technical Capabilities:
- AI model integration framework
- Cross-chain interoperability
- Secure off-chain computation
- Oracle-based AI validation
- Strategic Position vs Livepeer:
- Focus on AI data feeds vs video processing
- Different market approach (oracle-first)
- Complementary rather than competitive
- Development Status:
- Active AI research division
- Growing AI partnerships
- Established market presence
- Strong developer ecosystem
Team
The team members are enthusiastic and technically competent in dealing with Livepeer integration and ecosystem knowledge.
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DeFine – Software Engineer (Full-time)
DeFine has won previous Livepeer start-up competitions and has implemented our first pull request into the Eliza framework for image generation. Was first engineer at quiiiz.com (blockchain & AI) and helped them secure 7-digit seed funding. He also pledges to use at least half of the payout to support the Livepeer ecosystem through his startup. -
Mayor – X Livepeer Education (Full-time)
Mayor runs the Stream-Daemon Orchestrator with a passion for crypto adoption and AI Agent developments. He has a following on X and contributes to spreading the word on forefront technologies. -
Phoenix – Eliza Relations (Part-time)
Phoenix runs the Chase Media Orchestrator node and has spent the last month building Eliza character files, learning the Eliza platform, and participating in the Eliza Discord. -
Titan – Team lead (Part-time)
Titan is a long-time Orchestrator and hosts the Weekly Water Cooler Chat.
Timeline
This will be a 3-month program to try and hit the AI movement quickly and gather feedback on our success. The 3-month period will start at the end of the successful proposal vote and will end with a summary of our efforts, or a second proposal to continue the program.
Agent Builder Cohort Program
Program Overview
The Agent Builder Cohort is a structured 6-week program designed to accelerate the adoption of Livepeer’s inference capabilities in AI agent development. The program will run twice during our 3-month initiative, with each cohort limited to 25 participants to ensure high-quality support and engagement.
Participation Requirements
- Technical Requirements
- Working knowledge of AI agent development
- Experience with at least one major AI framework
- Ability to commit 10+ hours per week
- GitHub account with prior contributions
- Project Requirements
- Build an AI agent using Livepeer generative inference
- Process minimum 1,000 inference requests
- Maintain 90%+ uptime during testing period
- Document and share implementation details
Reward Structure
Total Allocation: 1,000 LPT
- Base Rewards (600 LPT)
- Successful Integration: 15 LPT
- Documentation: 5 LPT
- Tutorial Creation: 5 LPT
- Performance Rewards (300 LPT)
- Processing Volume: Up to 10 LPT
- Innovation Bonus: Up to 15 LPT
- Community Choice: Up to 15 LPT
- Community Building (100 LPT)
- Mentoring: 5 LPT per mentee
- Bug Reports: 2 LPT per verified issue
- Feature Suggestions: 3 LPT per implemented feature
Program Structure
- Week 1-2: Onboarding
- Technical setup and orientation
- Framework-specific workshops
- 1:1 mentoring sessions
- Project planning support
- Week 3-4: Development
- Regular progress check-ins
- Technical office hours
- Peer review sessions
- Implementation support
- Week 5-6: Completion
- Final testing and optimization
- Documentation review
- Community presentations
- Reward distribution
Monitoring & Verification
- Technical Metrics
- GitHub activity tracking
- API usage monitoring
- Performance analytics
- Uptime tracking
- Community Engagement
- Discord participation
- Documentation contributions
- Peer support activity
- Workshop attendance
- Quality Assurance
- Code review process
- Performance benchmarking
- Security assessment
- Documentation quality
Post-Program Support
- Ongoing technical support
- Featured case studies
- Introduction to partners
- Future collaboration opportunities
Budget & Resource Allocation
The total request of 6,440 LPT (approximately $96,600 at $15/LPT) will be allocated across team members and program costs to maximize impact over the 3-month period.
Projected Spending & Deliverables
| Category | USD | LPT | Key Deliverables |
|---|---|---|---|
| DeFine - Software Engineer | $48,000 | 3,200 | - Framework integrations- Technical architecture- Performance optimization- Developer tools |
| Mayor - X Livepeer Education | $19,200 | 1,280 | - Tutorial content- Community management- Developer relations- Documentation |
| Phoenix - Discord Support | $7,200 | 480 | - Technical support- Community moderation- User onboarding- Feedback collection |
| Titan - Team Lead | $7,200 | 480 | - Project management- Strategy execution- Partner relations- Progress reporting |
| Cohort Program | $15,000 | 1,000 | - Developer incentives- Program operations- Event costs- Marketing materials |
| Total | $96,600 | 6,440 |
Budget Considerations
- Price Volatility Protection
- Team commits to delivering stated hours regardless of LPT price fluctuations
- Additional hours may be contributed if price appreciates significantly
- Core deliverables guaranteed within budget
- Resource Optimization
- Leveraging existing Livepeer infrastructure
- Using open-source tools where possible
- Community-driven content creation
- Efficient resource allocation
Closing Summary
Current Implementation
Our first Pull Request was implemented last week and Livepeer is now listed as an inference provider on the official Eliza Github repo docs, including references to Livepeer as a API Image Model Provider.
Vision & Impact
This initiative represents a strategic move to position Livepeer as the premier video processing solution in the rapidly growing AI agent ecosystem. By focusing on technical integration, community building, and developer education, we aim to create lasting value for the Livepeer network.
Key Outcomes
- Technical Achievement
- Multiple framework integrations
- Robust developer tools
- Performance optimization
- Comprehensive documentation
- Community Growth
- Active developer ecosystem
- Educational resources
- Support infrastructure
- Sustainable growth model
- Market Position
- Industry recognition
- Strategic partnerships
- Competitive advantage
- Future growth opportunities
Next Steps
We invite the Livepeer community to:
- Review this proposal and provide feedback
- Join our Discord for detailed discussions
- Participate in governance voting
- Engage with the upcoming cohort program
Together, we can establish Livepeer as the foundation for the next generation of AI-powered video processing.
Agent SPE Team
