Computational · Paper · 2026

Codomyrmex: An Artificial Ecology for Agentic Software Development

Daniel Ari Friedman

Zenodo

Catalog Row206
Citation KeyFriedman2026CodomyrmexArtificialEcologyAgentic206
Paper FolderAvailable

Overview

Extracted from the local paper documentation when available.

Agentic software can preserve task state while still forgetting the consequences of prior actions. Codomyrmex studies a narrow control-plane question: after a caller reports a failed action at one software location, can the system deterministically increase friction for a materially similar proposal at that location without changing an unrelated target? Its Colony Control Plane records consequence reports and couples them to target-indexed signal pressure, agent trust, role labels, resource accounting, adversarial checks, and an explicit EXECUTE/HOLD/REFUSE gate. The implementation comprises 8 cooperating subsystems. The ordinary Model Context Protocol path remains caller-reported and unattested. Optional and required ColonyKernel attestation modes instead bind proposal, verdict, authorization, execution receipt, and outcome in a signed, hash-linked local ledger. That ledger protects lif

ai-agentsmodel-context-protocolmcpmulti-agentorchestrationcolony-control-planestigmergyartificial-ecologyagentic-software-engineeringfalsification-workeractuation-gatetrust-scoring

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • ai-agents
  • model-context-protocol
  • mcp
  • multi-agent
  • orchestration
Methods / Techniques
  • Not yet summarized.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. Codomyrmex: An Artificial Ecology for Agentic Software Development. Zenodo. DOI: 10.5281/zenodo.21750800. URL: https://doi.org/10.5281/zenodo.21750800.

Primary source Documentation BibTeX

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