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 ecosystem is pivoting toward high-utility autonomous trading and financial data integration, anchored by the Nosana partnership and the emergence of deterministic personality mapping for agents.
    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

    Autonomous Trading & Financial Infrastructure
    Recent logs indicate a surge in complex trading agent development, supported by new on-chain oracle tools (Pythia) and large local model optimization requests.
    Q1
    How should the Council prioritize the integration of on-chain oracles over traditional API-based market data?
    • Ivan Jeremic released Pythia MCP server using Chainlink oracles on Polygon to eliminate API key dependencies.
    • sailorpepe.eth implemented a pipeline integrating CoinGecko, DeFiLlama, and DexScreener APIs.
    1Oracle-First Mandate
    Maximizes decentralization and reliability but may increase latency for high-frequency trading agents.
    2Hybrid Middleware Approach
    Provides agents with both verifiable on-chain data and fast off-chain metrics, increasing architectural complexity.
    3Maintain Status Quo
    Allows builders to choose their own trade-offs, prioritizing developer flexibility over protocol standardization.
    4Other / More discussion needed / None of the above.
    Q2
    Should ElizaOS establish a dedicated 'ML Partnership' tier to support builders running 200B+ parameter local models?
    • Naman is seeking an AI/ML partner for a 200-500B parameter local LLM trading system.
    1Formal Lab Support
    Positions ElizaOS as the premium choice for local LLM power-users but requires significant R&D resources.
    2Ecosystem Bounty Program
    Encourages peer-to-peer technical partnerships without elizaOS core becoming a bottleneck for specific model support.
    3Focus on ElizaOS Cloud Optimization
    Prioritizes managed deployment over local hardware troubleshooting to scale the user base.
    4Other / More discussion needed / None of the above.
    Community Trust & Security Response
    Supply chain vulnerabilities and token performance concerns highlight a critical need for transparent communication and robust dependency management.
    Q3
    How should the Council address the current lack of clarification regarding multi-chain tokens and official support?
    • Martin inquired about the relationship between base/SOL Milady tokens with no response.
    • Community sentiment is fluctuating due to token price performance and lack of official clarity.
    1Immediate Official Clarification Post
    Stabilizes community trust but risks focusing on short-term price action instead of framework progress.
    2Integrate Tracking into ElizaOS Cloud
    Uses product features to solve token utility questions, reinforcing 'execution excellence'.
    3Decentralized FAQ Delegation
    Empowers vetted community helpers to manage common queries while the core team focuses on the Milady app launch.
    4Other / More discussion needed / None of the above.
    Q4
    What is the strategic priority for hardening the supply chain against attacks on dependencies?
    • DorianD identified a supply chain attack on litellm-pypi; Odilitime acknowledged the risk.
    1Dependency Lockdown & Audit
    Ensures maximum security but slows down the speed of updates and feature integration.
    2Security-First Plugin Policy
    Shifts security burden to third-party developers, potentially chilling the ecosystem expansion.
    3Automated Scanning & Alerts
    Maintains developer velocity while using AI agents to provide real-time vulnerability monitoring for the framework.
    4Other / More discussion needed / None of the above.