AxonFlow: Runtime control layer for production AI
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Updated
Aug 12, 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
A modular workbench for building deterministic, repeatable workflows that have models in them: agents, wiring, context, gears and pipelines — every part configurable by hand or by the orchestrator, both writing to the same objects. Local-first, no telemetry.
Manage Hermes CLI skins in a web UI, edit live YAML fields, and save or activate skins with built-in previews.
Turn SKILL.md workflows into resumable programs. The skill yields the next typed operation; the coding agent performs it and resumes the skill.
Hermes Agent plugin: bounded runbook-driven workflows for small local models. Deterministic scripts, verifier-first discipline, guarded publication.
CompText-Sparkctl: deterministic Rust tooling for agent trace compression, replay integrity, and SPARK context validation.
DWM: Deterministic Workflow Machine for large agentic work, with hashed packets, evidence, reviews, and resumable runtime state.
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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