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    Enables governance and orchestration of VaultMesh deployments through subsystem spawning, multi-chain anchoring, threat mitigation, constitutional amendments, and LAWCHAIN governance tracking. Provides auditable tools for managing decentralized infrastructure with cryptographic proofs and alchemical phase orchestration.
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    A specialized toolchain that guides AI agents through a structured 'Atomic Development' workflow for building Python FastAPI and Supabase backends. It manages project scaffolding and enforces dependency-ordered generation of database models, API routes, and tests.
    9
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    A template for creating Model Context Protocol (MCP) servers in TypeScript, offering features like container-based dependency injection, a service-based architecture, and integration with the LLM CLI for architectural design feedback through natural language.
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    ISC
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    Orchestrates complete agile development workflows from product requirements to QA testing through role-based stages (PO → Architect → SM → Dev → Review → QA). Manages workflow state, generates role-specific prompts, and saves artifacts while integrating with multiple AI engines for comprehensive project delivery.
    1
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    19
    MIT
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    Provides intelligent agent routing with 5 specialized AI agents (analyst, architect, dev, pm, qa) through OpenRouter integration. Enables unified project structure across all IDEs with global registry management and automated BMAD methodology workflows.
    136
    10
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    Lightweight AI agent orchestrator with built-in Architect AI, enabling users to automate tasks by describing them via chat or Claude Code + MCP, with multi-team isolation.
    86
    3
    MIT
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    We built a hosted MCP server that gives AI agents two capabilities through a single connection: 1. img-forge — Image generation across 5 quality tiers (SDXL Lightning to Gemini 3.1 Flash). One tool call, 5-30 seconds, done. 2. Stackbilder — Full-stack architecture scaffolding. Describe a product, get a 6-mode pipeline (Product → UX → Risk → Architect → TDD → Sprint)
    MIT
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    Transforms Claude into an autonomous development team with architect, agent, and QA roles, enabling automated sprint execution, task management, and continuous learning.
    31
    MIT
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    Enables Claude to remember information about users across conversations by storing and retrieving data as entities, relations, and observations in a persistent local knowledge graph.
    70,558
    Inno Setup
  • A
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    Generates AI-powered clarifying questions for user task requests using Claude, helping gather detailed requirements about tech stack, architecture, deployment, and project scope through categorized, contextually relevant questions.
    MIT
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    Enables collaborative software development through a team of specialized AI agents (Architect, Developer, Reviewer, Tester) communicating via the Model Context Protocol, with tools for file management, task tracking, and code review.