andreibesleaga/GABBE

23 stars · Last commit 2026-10-14

Generative Architectural Brain Base Engine - Agentic Software R&D Engineering Kit - development, all languages, agents, platforms, with Engineering Team & Experimental Cognitive Brain, Software Engineering & Architecture Best Practices and Governance

README preview

# GABBE (Generative Architectural Brain Base Engine)
## Agentic Software R&D Engineering Kit

## Quick Reference

![GABBE Agentic Software R&D Engineering Kit](docs/assets/GABBE.png)

## What is this?

- Agentic code development and governance via capability layers and software development cycle gates verifications and alignment (including best practices for security and human-in-the-loop, complete framework).
- The first published open-source project world-wide that features a complete agentic coding kit/framework with cognitive brain loop, skills, SDLC workflow, etc.
- Universal kit for Software and AI coding agents: Claude Code, Cursor, Windsurf, Cline, Aider, Devin, Gemini, **Antigravity**, **OpenCode**, **Zed**, **Continue**, **Roo Code**, **Kilo Code**, OpenAI/Codex, GitHub Copilot, VS Code.
- Drop-in context kit that turns any AI coding agent into a governed engineering team for developing software.
- Based on Software Engineering & Architecture Practices and Procedures.
- Works for any project type, new or existing, any language, any team size.
- **Write Once, Run Everywhere**: SKILLS for Cursor (`.mdc`), VS Code / Copilot (`folder/SKILL.md`), Claude (`.claude/skills`), Gemini, and the universal `.agents/skills/` tree read by Antigravity, OpenCode, and any agentskills.io tool.
- **Trivially installable**: `npx gabbe-kit init` (Python-independent) or `curl -fsSL …/install.sh | sh`, plus the Python wizard / PyPI. Move work between agents anytime (portable state export/import).
- **First-class** Observability (decision/cost traces, OTel GenAI conventions), Spec-Driven development (spec → evals → test → code), and a manager-not-operator human↔agent collaboration model.
- The system features an experimental **Meta-Cognitive Orchestrator "Brain"** (Neurocognitive based architecture derived from Neuroscience, Cognitive Psychology, Epistemology, treating the Software System not as a machine, but as a **Cognitive Entity**), using Active Inference to plan, route, and optimize work.
- The system features a **Multi-Agent Swarm "Loki" Engineering Team** (30+ specialized agent roles for large projects), providing episodic and semantic memory, project history auditing and checkpoints.

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