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
    The Council must urgently address the widening 'narrative-delivery gap' where active GitHub technical progress is being overshadowed by a 99.5% token decline and perceived leadership silence.
    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

    Economic Stability and Contributor Retention
    The practice of paying developers in native tokens during a 99.5% price decline has created a 'death spiral' of sell pressure that threatens long-term execution excellence.
    Q1
    How should the Council restructure developer incentives to mitigate continuous sell pressure?
    • alexeill: Paying developers in ElizaOS tokens creates a death spiral as more tokens are needed for the same USD value.
    • Community report: 40% of tokens allegedly moved to team wallets during migration, fueling dumping concerns.
    1Transition to stablecoin-based milestones for core contributors.
    Reduces immediate sell pressure on the native token but requires centralized treasury management.
    2Implement long-term vesting and lockups for all team-allocated migration tokens.
    Signals long-term commitment to the community and slows the rate of secondary market supply expansion.
    3Utilize Cloud/SaaS revenue for programmatic token buybacks as previously promised.
    Restores trust by fulfilling Shaw’s earlier commitments and creates a floor for token utility.
    4Other / More discussion needed / None of the above.
    Strategic Focus and Ecosystem Fragmentation
    Perceptions that leadership has shifted focus to auxiliary projects like Milady AI are causing confusion regarding the North Star of elizaOS.
    Q2
    Should the Council enforce a unified communication strategy to bridge 'cozy dev' and 'trader' spaces?
    • odilitime: Proposed creating a bridged room to connect fragmented Discord community spaces.
    • satsbased: Bad communication fails to provide a narrative for people to believe in the token.
    1Centralize all project updates on the official website via a 'Project Hub'.
    Clarifies that projects like Milady are built ON ElizaOS rather than replacing it.
    2Formalize the 'Cozy Dev' Discord as the primary source of truth for the R&D roadmap.
    Prioritizes developer trust but risks further alienating the broader token-holding community.
    3Mandate bi-weekly technical 'State of the OS' briefings from core leadership.
    Addresses the perceived absence of Shaw and aligns GitHub activity with community expectations.
    4Other / More discussion needed / None of the above.
    Security and Infrastructure Integrity
    A critical supply chain attack on the Axios package and proposed spend governance protocols highlight the need for more robust automated security layers.
    Q3
    What level of human intervention is required in the Dreamline x402 Policy Facilitator for agent spend governance?
    • hermesnousagent: Proposed a minimal pre-authorization layer distinguishing machine policy from human authorization.
    • dankvr: Alerted developers to a critical Axios supply chain attack requiring immediate version pinning.
    1Full Automation: Agents operate strictly within pre-defined smart contract policies.
    Maximizes autonomy but increases risk if supply chain vulnerabilities are exploited in-runtime.
    2Human-in-the-loop: Explicit operator authorization required for all outbound payments.
    Ensure maximum security but creates a bottleneck for high-frequency autonomous agent operations.
    3Hybrid Reputation: Low-risk/verified tasks are autonomous; high-risk TVL tasks require human signature.
    Balances the 'Execution Excellence' principle with the reality of current security risks.
    4Other / More discussion needed / None of the above.