# Council Briefing: 2026-03-26

## 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.

## Daily 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.

## Key Points for Deliberation

### 1. Topic: Autonomous Trading & Financial Infrastructure

**Summary of Topic:** Recent logs indicate a surge in complex trading agent development, supported by new on-chain oracle tools (Pythia) and large local model optimization requests.

#### Deliberation Items (Questions):

**Question 1:** How should the Council prioritize the integration of on-chain oracles over traditional API-based market data?

  **Context:**
  - `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.`

  **Multiple Choice Answers:**
    a) Oracle-First Mandate
        *Implication:* Maximizes decentralization and reliability but may increase latency for high-frequency trading agents.
    b) Hybrid Middleware Approach
        *Implication:* Provides agents with both verifiable on-chain data and fast off-chain metrics, increasing architectural complexity.
    c) Maintain Status Quo
        *Implication:* Allows builders to choose their own trade-offs, prioritizing developer flexibility over protocol standardization.
    d) Other / More discussion needed / None of the above.

**Question 2:** Should ElizaOS establish a dedicated 'ML Partnership' tier to support builders running 200B+ parameter local models?

  **Context:**
  - `Naman is seeking an AI/ML partner for a 200-500B parameter local LLM trading system.`

  **Multiple Choice Answers:**
    a) Formal Lab Support
        *Implication:* Positions ElizaOS as the premium choice for local LLM power-users but requires significant R&D resources.
    b) Ecosystem Bounty Program
        *Implication:* Encourages peer-to-peer technical partnerships without elizaOS core becoming a bottleneck for specific model support.
    c) Focus on ElizaOS Cloud Optimization
        *Implication:* Prioritizes managed deployment over local hardware troubleshooting to scale the user base.
    d) Other / More discussion needed / None of the above.

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### 2. Topic: Community Trust & Security Response

**Summary of Topic:** Supply chain vulnerabilities and token performance concerns highlight a critical need for transparent communication and robust dependency management.

#### Deliberation Items (Questions):

**Question 1:** How should the Council address the current lack of clarification regarding multi-chain tokens and official support?

  **Context:**
  - `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.`

  **Multiple Choice Answers:**
    a) Immediate Official Clarification Post
        *Implication:* Stabilizes community trust but risks focusing on short-term price action instead of framework progress.
    b) Integrate Tracking into ElizaOS Cloud
        *Implication:* Uses product features to solve token utility questions, reinforcing 'execution excellence'.
    c) Decentralized FAQ Delegation
        *Implication:* Empowers vetted community helpers to manage common queries while the core team focuses on the Milady app launch.
    d) Other / More discussion needed / None of the above.

**Question 2:** What is the strategic priority for hardening the supply chain against attacks on dependencies?

  **Context:**
  - `DorianD identified a supply chain attack on litellm-pypi; Odilitime acknowledged the risk.`

  **Multiple Choice Answers:**
    a) Dependency Lockdown & Audit
        *Implication:* Ensures maximum security but slows down the speed of updates and feature integration.
    b) Security-First Plugin Policy
        *Implication:* Shifts security burden to third-party developers, potentially chilling the ecosystem expansion.
    c) Automated Scanning & Alerts
        *Implication:* Maintains developer velocity while using AI agents to provide real-time vulnerability monitoring for the framework.
    d) Other / More discussion needed / None of the above.