FPF Agent Stack
Enables offline AI agent automation with embedded local LLM (Qwen 2.5), sandboxed file operations through AgentFS, and dynamic skill loading. Exposes capabilities via MCP with tri-state safety guards for private, air-gapped environments without network connectivity or API costs.
README
FPF Skill Stack
This repository implements an Agent Stack based on the First Principles Framework (FPF). It is organized by Bounded Contexts to strictly separate semantic domains while maintaining a clear link between Design (Text) and Runtime (Code).
š Authoritative Specification
The "real origin content" and authoritative definition of the First Principles Framework (FPF) is located here:
š governance/constitution/FPF_SPEC.md
All architectural decisions, role definitions, and interaction patterns in this repository are derived from this core specification.
š Repository Structure
The project follows the FPF Holonic Architecture (A.1) and Bounded Contexts (A.1.1):
contexts/: Contains the core logic, partitioned by semantic boundaries.SkillRuntime/: The core runtime system (formerlyfpf-agent-stack).Skills/: Skill definitions and implementations.SharedSchema/: Shared data contracts.
governance/: Project-wide rules, the FPF Constitution, and Decision Records (DRR).constitution/: Contains the FPF_SPEC.md.
š Usage
Requirements: Bun
# Install dependencies
bun install
# Run the skills validator
bun run validate
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