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    Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
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    Functional Source , Version 1.1, ALv2 Future
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    Multi-user, file-backed MCP memory server enabling isolated namespaces and persistent memory across sessions and AI clients.
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    MIT
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    An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem, supporting session-isolated file operations, cross-session shared stores, and glob/grep search.
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    MIT
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    Provides persistent SQLite-based memory and unified tool abstraction for AI agents to support long-term context and complex tool chaining. It enables automated code analysis, file operations, and environment discovery through a standardized interface.
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    MIT
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    Exposes the MITRE ATT\&CK framework to LLMs and AI assistants via the Model Context Protocol, enabling querying of techniques, tactics, groups, software, and mitigations.
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    MIT
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    An MCP server for Claude Code that enables semantic search of past session transcripts and intelligent session forking, allowing users to find and resume from relevant previous conversations with full context.
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    MIT
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    A comprehensive Model Context Protocol server that integrates Elasticsearch search with file operations, document validation, and version control to transform AI assistants into powerful knowledge management systems.
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    MIT
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    A read-only MCP server that provides document awareness for agents by parsing local files into structured profiles, blocks, chunks, and search results, enabling agents to understand and cite document content without dealing with raw file formats.
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    Apache 2.0
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    Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.
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    MIT
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    Enables AI assistants like Claude to read, search, create, and manage notes in Obsidian vaults, with features for link analysis, tag management, daily notes, templates, and optional Google Calendar integration. Provides comprehensive vault operations including batch updates, backlinks discovery, and secure file management with path traversal protection.
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    Enables AI assistants to interact with SiYuan Note through its API, supporting notebook and document management, block operations, search, file operations, and more.
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    MIT
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    Local-first persistent memory layer for MCP agents with hybrid search, file ingestion, and GDPR compliance.
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    Apache 2.0
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    Enables AI assistants to create, read, update, and manage SiYuan notes, supporting notebook management, document operations, block editing, database attribute views, search, file operations, and export.
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    MIT
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    File-backed Memory MCP Server for multi-agent coordination, enabling AI coding agents to persistently store and search memories using JSON files without external services.
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    MIT
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    MCP server for foldkit, exposing 7-prime spine, κ-bands, and fold operations as tools and resources, enabling fold operations, κ-band classification, and state probing in any MCP client.
    MIT
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    Enables Claude to search and analyze Obsidian vault content using ripgrep with support for wiki links, backlinks, frontmatter properties, orphaned notes, and intelligent context detection showing which heading or property contains each match.
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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