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    A multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.
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    MIT
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    A memory system for AI agents that maintains a human-readable, typed Markdown knowledge base with an always-in-context index, enabling recall, correction, and trust decay through MCP.
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    Apache 2.0
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    Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.
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    AGPL 3.0
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    Enables the creation and execution of task-specific AI sub-agents defined in markdown across any MCP-compatible tool like Cursor or Claude Desktop. It integrates with execution engines such as Claude Code, Cursor CLI, and Gemini CLI to provide portable and reusable specialized agent workflows.
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    MIT
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    Agent Toolbelt is an MCP server exposing 11 focused API tools for LLM agents — schema generation, text extraction, token counting, CSV conversion, Markdown conversion, URL metadata, regex builder, cron expressions, address normalization, color palettes, and brand kits. Each tool is a focused microservice with structured input/output, WCAG-scored color data, USPS address parsing, and multi-model to
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    MIT
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    A Model Context Protocol server that converts Markdown content into interactive mindmaps, allowing AI assistants to visualize hierarchical information through either HTML content or saved files.
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    MIT
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    TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.
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    Apache 2.0
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    Automatically generates structured agile backlogs including epics, features, and user stories from natural language descriptions within AI-powered IDEs. It streamlines project management by creating AI-optimized markdown files and directory structures to guide step-by-step implementation.
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    MIT
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    Persistent memory for AI agents built on the LLM Wiki pattern: a plain-Markdown brain (also a valid Obsidian vault) with SQLite metadata, local semantic search via fastembed (no API keys), one-call session context with project auto-detection, and a decision log with rationale. Works with Claude Code, Claude Desktop, Cursor, and any MCP client.
    MIT
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    A persistent memory server for AI agents that stores findings, tasks, and patterns in Markdown files within a git repository, enabling context injection across multiple AI tools.
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    MIT
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    End-to-end agent-managed company brain. Humans and any MCP agent co-author living docs (Markdown + extensions), 40+ visual diagrams (Mermaid, BPMN, D2, PlantUML, ELK, Excalidraw), plans, and a self-learning Knowledge Graph. 163 tools across 16 categories. Auth: OAuth 2.1 or API key. Lean, secure, affordable — from individuals to enterprise.
    MIT