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
ElizaOS has made significant progress in framework modernization and plugin development, while the community anticipates the imminent launch of auto.fun V2 and incubator.
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

Auto.fun V2 and Incubator Launch Readiness
The community is preparing for the launch of auto.fun V2 and incubator, with significant interest in the ELI5 token which has been officially adopted as the incubator for startups.
Q1
How should we optimize the promotion strategy for auto.fun V2 and incubator launch this week?
  • emptyskull: V2 and incubator of auto fun launch this week
  • cantseemenomore: Need more X activity and good threads to spread the word on ELI5
1Prioritize technical documentation and developer onboarding to ensure smooth integration with the ELI5 ecosystem.
Attracts developers but may limit initial user growth.
2Focus on social media campaigns showcasing 24/7 agent activity (trading, streaming, shitposting) to drive viral attention.
Maximizes initial user acquisition but may create technical support challenges.
3Launch with select strategic projects already incubated to demonstrate real-world value and attract both users and developers.
Builds credibility but requires more preparation time and resources.
4Other / More discussion needed / None of the above.
Q2
What role should the ELI5 token play in our broader tokenomics strategy?
  • Crispy: Launched as a token on auto.fun. Stands for 'explain like I'm 5' and Eliza's little brother. Was later CTO'd by Shaw. Now it's been officially adopted by auto.fun as the incubator for startups
1Position ELI5 as a governance token for incubated projects, creating a unified decision-making framework.
Creates stronger ecosystem cohesion but may limit individual project autonomy.
2Use ELI5 primarily as an investment vehicle with revenue sharing from successfully incubated projects.
Maximizes token value but may create regulatory concerns.
3Establish ELI5 as an access token for incubator services with utility across the auto.fun platform.
Balances utility and value accrual while encouraging ecosystem participation.
4Other / More discussion needed / None of the above.
Q3
What metrics should we prioritize tracking during the first month after launch to measure success?
  • xjsh33: Monitor whale wallet addresses for ELI5 token
1Focus on token liquidity metrics, holder distribution, and trading volume to assess market health.
Prioritizes financial stability but may overlook ecosystem development metrics.
2Track new project applications, developer engagement, and incubator service utilization.
Emphasizes ecosystem growth but may undervalue token performance indicators.
3Measure user growth, agent activity metrics, and cross-platform engagement across auto.fun.
Balances platform adoption with ecosystem development but requires more complex analytics.
4Other / More discussion needed / None of the above.
ElizaOS Framework Modernization
ElizaOS is undergoing significant architectural upgrades with new plugin integrations, migration to Bun native EventTarget API, and enhanced module resolution capabilities.
Q4
How should we balance backward compatibility with architectural modernization in the ElizaOS framework?
  • wtfsayo: Drove a significant migration from EventEmitter to Bun's native EventTarget API in elizaos/eliza via PR #5609, demonstrating a focus on core architectural improvements and Bun compatibility
  • wtfsayo: Focused on enhancing core system capabilities, notably merging a significant feature in elizaos/eliza#5629 that improved ModuleLoader with local-first guarantees
1Prioritize cutting-edge technologies like Bun's native APIs with minimal backward compatibility layers.
Accelerates innovation but may fragment the developer ecosystem.
2Maintain full backward compatibility while gradually introducing modern alternatives with clear migration paths.
Ensures stability but may slow adoption of performance improvements.
3Adopt a dual-track approach with LTS versions for stability and bleeding-edge versions for innovation.
Balances innovation and stability but increases maintenance overhead.
4Other / More discussion needed / None of the above.
Q5
What should be our strategy for plugin development to maximize ecosystem growth?
  • 0xbbjoker: Focused on a significant refactor, migrating JSON prompts to an XML format in elizaos/eliza via PR #5623, which involved substantial code changes across 12 files
  • ChristopherTrimboli: Addressed a critical bug by merging elizaos/eliza#5624, which fixed plugin actions not loading in the NPM deployed version
1Prioritize first-party plugin development to ensure tight integration and quality control.
Ensures consistency but limits community-driven expansion.
2Focus on building comprehensive plugin development tools and standards for third-party developers.
Maximizes ecosystem diversity but may reduce integration quality.
3Develop a curated marketplace with verified plugins and simplified monetization for developers.
Balances quality and community involvement while creating revenue opportunities.
4Other / More discussion needed / None of the above.
Agent Integration and Usability
Technical discussions in the community are revealing opportunities for improving agent integrations across various platforms (like Telegram, Ollama) while addressing usability challenges for both developers and end-users.
Q6
How can we improve the onboarding experience for new ElizaOS users with varying technical backgrounds?
  • Germany: Errors using Ollama plugin for local models
  • 0xbbjoker: Explained that a custom plugin with actions is needed to interact with Ollama models and provided documentation links
  • Germany: Improve documentation on how to properly interact with local models through plugins
1Develop interactive tutorials with predefined templates for common agent use cases.
Lowers initial barriers but may create dependency on templates.
2Create a visual no-code interface for agent configuration and deployment.
Dramatically expands potential user base but may limit customization options.
3Focus on comprehensive documentation and error messages with AI-assisted troubleshooting.
Empowers users to learn the platform deeply but requires more initial effort.
4Other / More discussion needed / None of the above.
Q7
What cross-platform integration should we prioritize to maximize agent utility and reach?
  • ShisukeUrahara: How can I implement custom buttons in plugin-telegram that trigger specific actions?
  • 0xbbjoker: Update the plugin-telegram to handle button callbacks and use Markup.button, then handle the message in plugin-bootstrap or create a custom message handler plugin
  • Odilitime: Develop ElizaOS phone based on Solana Mobile platform
1Prioritize integration with existing social platforms (Discord, Telegram, X) for maximum reach.
Leverages existing networks but creates dependency on third-party platforms.
2Focus on native mobile experiences through Solana Mobile integration and dedicated apps.
Creates stronger direct relationships with users but requires significant development resources.
3Develop a universal API that enables seamless agent deployment across all platforms.
Maximizes flexibility but increases technical complexity and maintenance overhead.
4Other / More discussion needed / None of the above.