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  ## 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.