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    Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.
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    Apache 2.0
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    Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.
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    MCP server that exposes an Obsidian vault to AI assistants, enabling them to list, read, write, search, and delete notes via the Local REST API.
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    MCP server that connects Claude Desktop to Obsidian vault via the Local REST API plugin, enabling search, read, write, and management of notes plus executing Obsidian commands.
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    MCP server for foldkit that exposes the 7-prime spine, 7 κ-bands, and 6 fold operations as native tools and resources in any MCP client.
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    MIT
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    A codebase ontology and a cited wiki, both kept as Markdown in one folder on your disk. Typed graph answers — what a change affects, how two concepts connect, which wiki lines lack a citation — and every write lands as a Git diff a person reviews.
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    MIT
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    MCP server that connects Cursor agents to a local Obsidian vault via the Local REST API, enabling note reading, writing, searching, patching, and organizing through natural language.
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    AGPL 3.0
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    A server that enables AI agents to perform sophisticated knowledge discovery and analysis across Obsidian vaults through the Local REST API plugin, supporting complex multi-step workflows with advanced filtering and full content retrieval.
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    MIT
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    Provides OpenCode with adaptive long-term memory by storing preferences, lessons, and usage history locally in SQLite, enabling AI to remember and adapt to users through context-based learning.
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    MIT
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    Enables AI assistants to read, write, and manage Obsidian notes, folders, and periodic notes via the Local REST API, including search and command execution.
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    MIT
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    Unofficial Notion MCP server built on Notion's private API (token_v2 cookie). Gives LLM agents full read/write access to the entire workspace — no integration token and no per-page sharing.
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    MIT