Flameox

Flameox is an open-source coding agent harness and orchestration framework maintained by morluto. Built to support hybrid development workflows across both Python and Node.js ecosystems, it provides structured agent execution lanes designed to interface with developer tooling, deterministic test suites, and external runtime authorities. In daily use, Flameox functions as an execution engine that coordinates agent actions, runtime evidence collection, and automated task execution. Configured through environment variables via `.env` definitions, the harness coordinates task staging and tool dispatch across local repositories and test environments. Flameox differentiates itself by focusing on deterministic execution lanes and explicit authority controls rather than open-ended, unverified generation. Its dual packaging across npm and Python repository structures allows teams to schedule pytest lanes, track execution evidence, and integrate with profiling and staging environments like xctrace. The project is available as open-source software on GitHub and published via npm under active early-stage development (v0.1.x).

Tags: ai agent, cli, codebase, coding agent, developer tools, OpenSource

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Key features

• Dual-Ecosystem Packaging — Distributed and configured for integration across both Python (src/flameox) and npm project environments. - Explicit Authority Runtime — Centers execution, context resolution, and tool authorities on deterministic runtime evidence. - Automated Test Scheduling — Native routing for deterministic test lanes using pytest to validate agent modifications. - Managed Staging & Tracing — Built-in support for managed external staging environments and profiling tools such as xctrace. - Environment-Driven Configuration — Simple deployment configuration using standardized .env template specifications.

Use cases

Use Case: Deterministic Agent Test Execution Engineers run autonomous code modification workflows tied directly to scheduled pytest lanes to ensure generated patches pass deterministic validation checks.

Use Case: Hybrid Python and Node.js Orchestration Developers manage agentic workflows in monorepos or polyglot environments that require synchronized tooling across Python modules and npm dependencies.

Use Case: Evidence-Based Task Validation Teams run automated developer tasks where agent actions must be logged, staged, and verified against explicit runtime authorities before merging.

Who it is for

Flameox is designed for software engineers and tooling authors building structured, automated coding workflows across Python and Node.js environments with strict test-validation requirements. It is not intended for non-technical users seeking a turnkey graphical chat assistant.

Install guide

Installation Install Flameox via npm or install directly from the Python repository source: bash # Via npm (standard distribution) npm install -g flameox # Or via Python source repository pip install git+https://github.com/morluto/flameox.git

First Run Set up your environment variables by copying the template: bash cp .env.example .env # Edit .env with your required runtime credentials

Example Session Run the Flameox harness to view available commands and execution lanes: bash flameox --help

Part of CLI Coding Agents

Categories: AI Coding Agents, Code Assistants, Developer Tools

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