What is the importance of GF(3) in this skill?

GF(3) triads ensure compositional coherence and conservation between different agent roles (Generator, Coordinator, and Validator), providing a mathematical framework for system stability.

How does this skill improve multi-agent performance?

It reduces coordination complexity from O(n) round trips to O(1) by allowing multiple agents to read from and write to a shared environmental state, such as a DuckDB database.

Does this require a specific database?

While the core logic uses DuckDB for environmental traces, the principles of vehicle semantics and seed chains can be adapted to various shared-state environments.

What is stigmergy in AI agent coordination?

Stigmergy is a mechanism of indirect coordination where agents communicate by leaving traces in their environment, allowing them to synchronize without direct message passing.

Implicit Coordination

Name: Implicit Coordination
Author: plurigrid

byplurigrid

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数据科学与机器学习

Facilitates high-performance multi-agent coordination through environmental stigmergy and trace-based state modification instead of message passing.

关于

Implicit Coordination implements stigmergic agent patterns where agents interact through shared environment traces rather than traditional messaging protocols. By leveraging DuckDB and a deterministic seed chain, it enables O(1) latency in coordination tasks, ensuring causal consistency via GF(3) triads. This skill is ideal for building complex multi-agent systems where reducing network overhead and maintaining a verifiable audit trail of environmental modifications is critical for system performance and reliability.

主要功能

Persistent trace logging within DuckDB for causal auditing
Verifiable GF(3) conservation for multi-agent role validation
2 GitHub stars
Stigmergic agent coordination via environmental modification
Deterministic state derivation using SplitMix64 seed chains
O(1) latency reduction by eliminating message round trips

使用场景

Coordinating parallel 'verse' execution in complex simulation environments
Building ultra-low latency multi-agent systems (MAS)
Implementing verifiable audit trails for decentralized agent actions

关于

主要功能

Persistent trace logging within DuckDB for causal auditing
Verifiable GF(3) conservation for multi-agent role validation
2 GitHub stars
Stigmergic agent coordination via environmental modification
Deterministic state derivation using SplitMix64 seed chains
O(1) latency reduction by eliminating message round trips

使用场景

Coordinating parallel 'verse' execution in complex simulation environments
Building ultra-low latency multi-agent systems (MAS)
Implementing verifiable audit trails for decentralized agent actions