Synapti.ai
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Repositories
- prompt-decorators Public
A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation. Claude Code plugin and MCP server integration.
- synapti-marketplace Public
The Synapti Marketplace is a curated collection of Claude Code plugins designed for AI-augmented development + advanced analytical and research tasks. Each plugin provides specialized agents, skills, and commands that extend Claude Code's capabilities in specific domains.
- uim-protocol Public
The Unified Intent Mediator (UIM) protocol standardizes interactions between AI agents and web services, streamlining how intents are discovered, executed, and managed. It provides a secure and efficient framework, simplifying integration and enabling scalable, autonomous AI-driven applications and workflows.
- lucid Public
Open-source epistemic audit for your Claude conversation history. Applies eight published AI-safety research frameworks (Spiral-Bench, Sharma sycophancy, SycEval, BeliefShift, ITP, MedTrust-RAG) and produces citation-validated HTML reports.
- bdsk Public
Behavior-Driven Specification Kit — specification-first governance for AI-assisted code generation. Claude Code plugin with 8-phase validator, lifecycle skills, and scope enforcement.
- agent-capability-standard Public
Agent Capability Standard is an open specification for composable AI agent capabilities. It defines 36 atomic capabilities across 9 cognitive layers, a type-safe workflow DSL, and grounded world modeling with trust-aware conflict resolution. Built on the Grounded Agency philosophy, it makes agent reliability structural—not optional.
- siare Public
Self-Improving Agentic RAG Engine - Evolve multi-agent RAG pipelines using Quality-Diversity optimization
- influence-tactics-protocol Public
Influence Tactics Protocol (ITP): An open standard for detecting and scoring manipulation in online content. 20-category framework across 5 composite factors.
- multi-agent-constitutional-architecture Public
A four-layer governance architecture for multi-agent AI systems
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