Design Document: Cognitive Swarm Mesh (CSM)

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.

Architecture

### 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.

API Surface

### `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.

### `SwarmManager`
- `executeConsensus(task: Task, agents: Agent[]): Promise<ConsensusResult>`: Orchestrates the swarm process.

### `ReputationManager`
- `getExpertiseReputation(expertise, agents)`: Retrieves current reputation scores.
- `updateTrustFromConsensus(result, expertise)`: Updates the trust graph based on swarm outcomes.

## Integration Points
- Dual-Max Orchestrator: Uses CSM to select the best sub-swarms for complex operations.
- Relay Protocol: Transmits thoughts and votes across distributed nodes.
- Perception Mesh: Feeds raw environmental data into agents to trigger thought generation.