Council Briefing

Strategic Deliberation
▶North Star & Strategic Context

North Star & Strategic Context



This file combines the overall project mission (North Star) and summaries of key strategic documents for use in AI prompts, particularly for the AI Agent Council context generation.

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North Star: To build a truly autonomous, sustainable DAO that develops open-source software accelerating the path toward AGI, blending AI researchers, open-source hackers, and crypto degens to create AI agents streaming, shitposting, and trading 24/7 on auto.fun to attract users and bootstrap an autonomous organization.

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ElizaOS Mission Summary (`docs/blog/mission.mdx`): The elizaOS mission is to build an extensible, modular, open-source AI agent framework for Web2/Web3, seeing agents as steps toward AGI. Core values are Autonomy, Modularity, and Decentralization. Key products include the framework itself, DegenSpartanAI (trading agent), Autonomous Investor/Trust Marketplace (social trading intelligence), and the Agent Marketplace/auto.fun (launchpad).

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ElizaOS Reintroduction Summary (`docs/blog/reintroduction.mdx`): elizaOS is an open-source "operating system for AI agents" aimed at decentralizing AI development away from corporate control. It's built on three pillars: 1) The Eliza Framework (TypeScript toolkit for persistent, interoperable agents), 2) AI-Enhanced Governance (building autonomous DAOs), and 3) Eliza Labs (R&D for future capabilities like v2, Trust Marketplace, auto.fun, DegenSpartanAI, Eliza Studios). The native Solana token coordinates the ecosystem and captures value. The vision is an intelligent internet built on open protocols and collaboration.

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Auto.fun Introduction Summary (`docs/blog/autofun-intro.mdx`): Auto.fun is an AI-native, creator-first token launchpad designed for sustainable AI/crypto projects. It aims to balance fair community access with project funding needs through mechanisms like bonding curves and liquidity NFTs. Key features include a no-code agent builder, AI-generated marketing tools, and integration with the elizaOS ecosystem. It serves as a core product driving value back to the native token ($ai16z) through buybacks and liquidity pairing.

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Taming Information Summary (`docs/blog/taming_info.mdx`): Addresses the challenge of information scattered across platforms (Discord, GitHub, X). Proposes using AI agents as "bridges" to collect, wrangle (summarize/tag), and distribute information in various formats (JSON, MD, RSS, dashboards, 3D shows). Showcases an AI News system and AI Assistants for tech support as examples. Emphasizes treating documentation as a first-class citizen to empower AI assistants and streamline community operations.
▶Daily Strategic Focus
Token migration issues and multi-chain functionality improvements are dominating community discourse while technical development of v2 continues with major security and architecture enhancements in progress.
Monthly Goal
Current focus: Stabilize and attract new users to auto.fun by showcasing 24/7 agent activity (streaming, trading, shitposting), ship production ready elizaOS v2.

Key Deliberations

Token Migration Strategy
Multiple users are reporting problems with the AI16Z to elizaOS token migration, particularly related to exchange-held tokens and cutoff date confusion, which threatens user experience and community trust.
Q1
How should we address the high volume of token migration issues being reported by users, especially those with tokens on exchanges?
  • Multiple users reported problems migrating AI16Z tokens to elizaOS, particularly with the 'max amount reached' error
  • Users on exchanges like COINONE were advised to wait for exchange announcements regarding migration
1Create a dedicated migration support team with extended deadlines for exchange users.
This approach prioritizes user satisfaction but requires additional resource allocation and may delay other product development.
2Develop automated tools to streamline migration and publish clear documentation about exchange-specific processes.
This technical solution enhances scalability but may not address immediate concerns of users currently facing issues.
3Maintain current approach of case-by-case manual support while working with exchanges for better integration.
This minimizes disruption to ongoing development but risks continued user frustration and potential community fragmentation.
4Other / More discussion needed / None of the above.
Q2
What is the strategic importance of maintaining the November 11 cutoff date for migration eligibility versus extending it to accommodate more users?
  • Clarification provided that tokens purchased after November 11, 11:40 UTC cannot be migrated
1Maintain the cutoff strictly to preserve the integrity of the token distribution model.
Preserves economic model integrity but potentially alienates newer community members.
2Extend the cutoff date by 30 days to accommodate more users and exchanges.
Increases short-term user satisfaction but may dilute token value and create precedent for future deadline flexibility.
3Implement a tiered migration system where later purchasers receive partial benefits.
Creates a compromise solution but adds complexity to the token economics and migration process.
4Other / More discussion needed / None of the above.
Q3
How can we leverage the migration process to strengthen exchange relationships and expand our liquidity strategy across chains?
  • Brief discussion about liquidity distribution across chains, noting Solana liquidity is currently insufficient
1Focus exclusively on improving Solana liquidity before expanding to other chains.
Creates depth in our primary chain but limits cross-chain adoption potential in the short term.
2Prioritize balanced liquidity across chains while offering migration incentives through exchange partnerships.
Maximizes cross-chain presence but requires significant coordination and potentially dilutes focus.
3Implement chain-specific incentives tied to auto.fun activity and agent deployment.
Aligns token strategy with our agent ecosystem but increases technical complexity of the migration.
4Other / More discussion needed / None of the above.
Technical Architecture & Security Enhancements
Critical technical developments are underway, including entity-level row-level security (RLS) and support for EVM chains in verification processes, signaling a focus on enterprise-grade security and cross-chain integration.
Q4
What level of priority should we assign to multi-chain support for elizaOS agents versus focusing on a single chain for initial v2 stability?
  • Odilitime mentioned working on upgrading Eliza to support EVM chains for verification purposes
1Prioritize multi-chain support immediately as a core v2 feature.
Expands market opportunity but increases complexity and potential for launch delays.
2Focus on Solana for v2 launch stability with EVM chain support as a defined post-launch milestone.
Ensures quality and stability at launch but may limit initial adoption among EVM-focused developers.
3Implement a phased approach with core verification functionality across chains but deeper integrations tailored to Solana first.
Balances immediate multi-chain presence with focused development but creates tiered user experience across chains.
4Other / More discussion needed / None of the above.
Q5
How should we balance the security benefits of entity-level RLS with potential performance implications for high-throughput agent operations?
  • Stan mentioned splitting a large PR and improving server tests by removing skips and adding proper helpers
  • Pull request by standujar: 'feat: Entity-level RLS & Security Improvements'
1Implement comprehensive RLS across all data with performance optimizations as secondary concerns.
Maximizes security but may impact agent performance metrics and user experience.
2Apply RLS selectively based on data sensitivity with performance benchmarks guiding implementation.
Balances security and performance but creates a more complex security model to maintain.
3Create tiered security options that users/enterprises can configure based on their performance vs. security preferences.
Provides flexibility but increases configuration complexity and support requirements.
4Other / More discussion needed / None of the above.
Q6
Should we invest in enhanced observability tools for agent actions to improve debugging and development experience?
  • PR #6167: Timeline Action Spans Fix - Correct inclusion of 'action_event' logs in run timelines
  • Issue identified with Anthropic's Sonnet 4.0 model not properly closing XML tags, possibly related to max token settings
1Heavily invest in advanced observability as a core elizaOS v2 differentiator.
Enhances developer experience but diverts resources from other feature development.
2Implement baseline observability focused on critical actions with a plugin architecture for extensibility.
Balances immediate needs with future flexibility but may not address all current debugging challenges.
3Delay observability enhancements until post-v2 launch to focus on core functionality.
Maintains development velocity for v2 but risks delayed identification of production issues.
4Other / More discussion needed / None of the above.
User Acquisition & Engagement Strategy
Novel approaches to user acquisition are being proposed, including physical humanoid robots for promotional activities and competitions tied to agent performance metrics, presenting opportunities to differentiate our user acquisition strategy.
Q7
Should we pursue innovative offline promotional strategies like the proposed humanoid robot demonstrations to drive auto.fun user acquisition?
  • DorianD proposed using Unitree G1 humanoid robots (similar to 'Rizzbot') for promotional activities
  • Concept of using robots for in-person user acquisition in public spaces was discussed
1Heavily invest in humanoid robot promotions as a unique, attention-grabbing marketing strategy.
Creates distinctive brand positioning but requires significant resource investment in hardware and coordination.
2Test the concept with a limited pilot program while focusing primarily on digital marketing channels.
Balances innovation with proven approaches but may dilute the impact of the robot concept.
3Redirect the robot concept budget toward enhancing online user experiences and digital marketing.
Maintains focus on our core digital strengths but misses potential viral marketing opportunity.
4Other / More discussion needed / None of the above.
Q8
How should we structure agent performance competitions to maximize engagement while showcasing the capabilities of our platform?
  • Suggested competitions where Eliza agents could win a robot clone by achieving specific metrics (1M ratings/transactions)
  • The waitlist for 'babylon' has reportedly reached 20,000 signups
1Create high-profile competitions with substantial prizes for agents reaching ambitious performance metrics.
Generates excitement and showcases platform potential but may concentrate benefits among power users.
2Implement tiered competitions with varied entry levels and metrics to engage both novice and expert users.
Broadens participation but increases administrative complexity and potentially dilutes impact of top-tier achievements.
3Focus on collaborative rather than competitive challenges that showcase agent interoperability and community value.
Aligns with community-building values but may generate less immediate excitement than competitive formats.
4Other / More discussion needed / None of the above.
Q9
What partner requirements and tiering system would best support our growth objectives while maintaining exclusivity?
  • Partnership requirements were clarified as needing 600k tokens or hoplite access
  • Discussion about revising the partner space and tiering system is ongoing
1Maintain high token thresholds for partnership to ensure quality and commitment.
Preserves exclusivity but may limit ecosystem growth and developer adoption.
2Create multi-tiered partnership levels with varied benefits and entry requirements.
Expands accessibility while preserving premium benefits for top partners, but increases program management complexity.
3Shift from token-based qualification to contribution and utilization metrics.
Rewards active participation rather than passive holding but could devalue token utility for partnership access.
4Other / More discussion needed / None of the above.