AxonFlow: Runtime control layer for production AI
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Updated
Oct 8, 2026 - Go
AxonFlow: Runtime control layer for production AI
A playbook framework for Claude Code and the sprint loop built on it — deterministic state machinery, model-driven steps, plain-markdown vault
MergeGate: deterministic execution protocol for AI-assisted development and the execution layer for GitNexus-style code intelligence
Compile AI agent skills into cheap, fast, deterministic pipelines that run without an LLM in the loop
Agentic OS Control Plane: deterministic state-machine governance for AI coding agents with cryptographically enforced SSH/CIBA human-in-the-loop gates and zero-trust verification.
Move both the checklist and the verdict outside the model. Slot-based preconditions for irreversible tool calls — execution reads a verdict record, never a conditional.
Turn SKILL.md workflows into resumable programs. The skill yields the next typed operation; the coding agent performs it and resumes the skill.
Manage Hermes CLI skins in a web UI, edit live YAML fields, and save or activate skins with built-in previews.
CompText-Sparkctl: deterministic Rust tooling for agent trace compression, replay integrity, and SPARK context validation.
Hermes Agent plugin: bounded runbook-driven workflows for small local models. Deterministic scripts, verifier-first discipline, guarded publication.
DWM: Deterministic Workflow Machine for large agentic work, with hashed packets, evidence, reviews, and resumable runtime state.
Canonical public documentation for Parametron's engineering architecture, conventions, and workflow.
Agent loops and context engineering for verified GPT-5.6 Sol Pro workflows through signed-in Chrome, with deterministic handoffs and provenance.
Repository-native, lightweight deterministic workflow governance for AI-assisted engineering.
Local typed task-graph runner for deterministic agent workflow execution.
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