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.

Last Updated: December 2025

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North Star: To build the most reliable, developer-friendly open-source AI agent framework and cloud platform—enabling builders worldwide to deploy autonomous agents that work seamlessly across chains and platforms. We create infrastructure where agents and humans collaborate, forming the foundation for a decentralized AI economy that accelerates the path toward beneficial AGI.

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Core Principles: 1. **Execution Excellence** - Reliability and seamless UX over feature quantity 2. **Developer First** - Great DX attracts builders; builders create ecosystem value 3. **Open & Composable** - Multi-agent systems that interoperate across platforms 4. **Trust Through Shipping** - Build community confidence through consistent delivery

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Current Product Focus (Dec 2025):
  • **ElizaOS Framework** (v1.6.x) - The core TypeScript toolkit for building persistent, interoperable agents
  • **ElizaOS Cloud** - Managed deployment platform with integrated storage and cross-chain capabilities
  • **Flagship Agents** - Reference implementations (Eli5, Otaku) demonstrating platform capabilities
  • **Cross-Chain Infrastructure** - Native support for multi-chain agent operations via Jeju/x402


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    ElizaOS Mission Summary: ElizaOS is an open-source "operating system for AI agents" aimed at decentralizing AI development. Built on three pillars: 1) The Eliza Framework (TypeScript toolkit for persistent agents), 2) AI-Enhanced Governance (building toward autonomous DAOs), and 3) Eliza Labs (R&D driving cloud, cross-chain, and multi-agent capabilities). The native token coordinates the ecosystem. The vision is an intelligent internet built on open protocols and collaboration.

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    Taming Information Summary: Addresses the challenge of information scattered across platforms (Discord, GitHub, X). Uses AI agents as "bridges" to collect, wrangle (summarize/tag), and distribute information in various formats (JSON, MD, RSS, dashboards, council episodes). Treats documentation as a first-class citizen to empower AI assistants and streamline community operations.
    ▶Daily Strategic Focus
    Transitioning from technical instability in v1.7.2 toward a robust v2.0.0 architecture while enforcing strict ecosystem standards for token utility and developer conduct.
    Monthly Goal
    December 2025: Execution excellence—complete token migration with high success rate, launch ElizaOS Cloud, stabilize flagship agents, and build developer trust through reliability and clear documentation.

    Key Deliberations

    Ecosystem Integrity & Token Meta
    The Council must address a crisis in developer tokenomics where improper launches are damaging community trust and project liquidity. A new 'fee-based revenue' standard is being enforced to replace the 'dev-selling' model.
    Q1
    How shall the Council formalize and enforce the 'Never Sell' developer mandate for ecosystem tokens?
    • Shaw's guidance: Developers should rely on 2% creator fees rather than selling tokens directly.
    • Crisis: cjft launched with 75% supply held, necessitating an urgent 70% burn via sol-incinerator.
    1Automated Smart Contract Enforcement
    Mandate programmatic vesting or burn-at-launch for all listed partner tokens.
    2Reputational & Fee-Model Education
    Publish the 'Shaw Fee Model' as the only approved path for sustainable ecosystem revenue.
    3Whitelist-Only Liquidity Support
    Restrict ecosystem support to agents that prove a <5% developer allocation.
    4Other / More discussion needed / None of the above.
    Q2
    How do we resolve the 'multiple token' fatigue while maintaining the value of $elizaOS?
    • Jayzen: Concerns about 'scatterbrained decision-making' over tokens not tied to the platform.
    • The Three Words: Doubts about the 110k LP on Solana and low liquidity concerns.
    1Unify Utility via Jeju/Cloud Buybacks
    Aggressively market that all peripheral tokens eventually feed value back to $elizaOS through protocol fees.
    2Halt Sub-Token Endorsement
    Freeze team-led token side-projects to focus 100% on elizaOS core infrastructure.
    3Incentivized LP Migrations
    Utilize ecosystem funds to deepen the main ElizaOS/SOL pair liquidity to institutional standards.
    4Other / More discussion needed / None of the above.
    v2.0.0 Architectural Pivot & Reliability
    Recent stability issues in v1.7.2 drive the strategic necessity for the v2.0.0 dynamic execution engine and improved cross-chain scaling via Jeju.
    Q3
    Given the 'invalid private field' and DB migration errors in v1.7.2, should we accelerate the full pivot to v2.0.0?
    • 0xbbjoker: Investigating recentMessagesProvider errors in v1.7.2 affecting bot responsiveness.
    • odilitime: Massive architectural overhaul for v2.0.0 with 100,000+ lines of changes focused on dynamic execution.
    1Aggressive V2 Cutover
    Move the framework to 'maintenance mode' and shift all core engineering to the Rust/WASM V2 runtime.
    2Hybrid Reliability Sprint
    Delay V2 features by 2 weeks to stabilize the v1.7.x Discord/Postgres integration.
    3Developer-Led V2 Beta
    Open the V2 dynamic execution engine only to top-tier partners (babylon, Jeju) for stress testing.
    4Other / More discussion needed / None of the above.
    Q4
    Should distributed computation (Jeju) prioritize consumer hardware (iPhones) to achieve mass decentralization?
    • DorianD: Proposed using idle iPhones with 8GB RAM to provide compute cycles when at 90%+ battery.
    • Chucknorris: Suggested ZKP to prevent node cheating in ad hoc clusters.
    1Mobile-First Distributed Inference
    Shift Jeju R&D toward iPhone/Android local LLM extraction and ad hoc networking.
    2Enterprise Node Stability
    Focus on high-availability cloud nodes (ElizaCloud) before experimental mobile compute.
    3Data Marketplace Hybrid
    Incentivize mobile users to sell data extraction cycles rather than raw LLM compute.
    4Other / More discussion needed / None of the above.