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@sraphaz

Free

Open-source developer exploring agentic AI, community systems, and sacred technology.

FreeFree tier
Type
Open Source
Visit Website GitHub (40 stars)

About @sraphaz

sraphaz (Rapha) is an open-source developer and architect focused on the intersection of technology, consciousness, and natural sacred life. Their primary AI project is 'agentic-awesome-skills' (AAS Core), a local, agent-first control plane that provides catalog discovery, agent-owned selection, stack validation, and planning, backed by over 1,987 agentic skills. The project includes a CLI and local MCP (Model Context Protocol) support. Other notable open-source works include 'arah', a territory-first community platform for sharing local feeds, events, and maps with explicit governance; 'SacredChants', a living library of sacred sound traditions; 'likec4', a tool for visualizing and collaborating on software architecture; and 'sky-forge', a software proposal tool emphasizing human prosperity and UX dignity.

Key Features

Local, agent-first control plane for AI agent orchestration
Catalog discovery and agent-owned selection of agentic skills
Stack validation and planning for agent workflows
Includes CLI and local MCP (Model Context Protocol) support
Territory-first community platform for local feeds, events, and maps (arah)
Living library of sacred sound traditions (SacredChants)
Visualize and co-evolve software architecture from code (likec4)
Software proposal for human prosperity and cloud-native deployment (sky-forge)

Pros & Cons

Pros
  • Free and open-source under permissive licenses
  • Large and growing catalog of 1,987+ agentic skills
  • Operates locally without dependency on external cloud services
  • Supports MCP protocol for standardized agent communication
  • Multi-project ecosystem covering diverse use cases (AI, community, culture)
Cons
  • Requires technical expertise (e.g., Python, CLI) to set up and use
  • Documentation and support may be distributed across multiple repositories
  • Niche focus on consciousness and sacred life may limit mainstream appeal
  • Not a ready-to-use SaaS product; installation and configuration needed

Best For

Building and orchestrating multi-agent AI workflows with local controlCommunity-driven local event and feed sharing with governancePreserving and exploring sacred sound traditionsVisualizing and collaborating on software architecture diagramsCreating cloud deployment proposals with a focus on human well-being

FAQ

What is agentic-awesome-skills?
AAS Core is a local, agent-first control plane that enables catalog discovery, agent-owned selection, stack validation, and planning for AI agent workflows. It includes a CLI, local MCP support, and comes with over 1,987 agentic skills.
Is sraphaz's software free to use?
Yes, all repositories appear to be open-source and free to use under their respective licenses.
What does 'arah' do?
'arah' is a territory-first platform for communities to share local feeds, events, and maps with explicit governance mechanisms.