Design Document: Cognitive Swarm Mesh (CSM)

## Overview The Cognitive Swarm Mesh (CSM) is a unified framework for AI-to-AI and AI-to-Human coordination, evaluation, and collective intelligence. It synthesizes three core concepts: 1. **Agent Reputation & Trust Graphs**: Expertise-aware trust tracking. 2. **Swarm Consensus**: Collective decision-making with preservation of dissent. 3. **Thought Mesh**: Real-time sharing of intermediate reasoning processes. ### 1. Reputation Engine (`ReputationManager` & `TrustGraph`) - **Expertise-Aware**: Trust is not monolithic; an agent may be trusted for "coding" but not for "creative writing." - **PageRank-Inspired**: Reputation flows through the graph. Trust from a highly-reputed agent carries more weight. - **Dynamic Decay**: Trust scores evolve based on recent interactions. ### 2. Swarm Consensus (`SwarmManager`) - **Parallel Thinking**: When a task is initiated, all participating nodes (AI or Human) generate `Thoughts` simultaneously. - **Weighted Voting**: Decisions are reached through voting, where votes are weighted by the agent's reputation in the relevant expertise domain. - **Minority Preservation**: Dissenting opinions are captured as `MinorityReports`, ensuring that alternative reasoning is not lost to the majority. ### 3. Thought Mesh - **Transparency**: Agents expose their internal reasoning (`Thought` objects) to the mesh before voting. - **Human-in-the-Loop**: Humans can inject thoughts and vote alongside AI agents, bridging the gap between biological and synthetic intelligence. ### `Agent` - `think(task: Task): Promise<Thought>`: Generates reasoning for a task. - `vote(task: Task, thoughts: Thought[]): Promise<Vote>`: Participates in a swarm decision. - `rateWork(targetAgentId, taskId, result): Rating`: Provides peer-to-peer feedback.