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Install this package:

emerge -a dev-util/ai-memory

Package Information

Description:

ai-memory is a long-term memory server for AI coding agents, spoken to over the Model Context Protocol (MCP). It keeps everything on the machine it runs on: pages live in a bundled SQLite database with FTS5 full-text search, a git-versioned wiki records how they changed, and embeddings for semantic search are computed in-process by a pure-Rust BERT model on the CPU, so no text has to leave the host to make search work. Optional providers (Anthropic, OpenAI, Gemini, GitHub Copilot and any OpenAI-compatible endpoint) can be configured for consolidation and hosted embeddings when that trade is wanted. It ships a single ai-memory binary that serves MCP over stdio or HTTP, exposes a small web UI, and installs per-vendor hook scripts under /usr/share/ai-memory/hooks for Claude Code, Codex, Cursor, Gemini CLI, opencode and others. The daemon can run system-wide under the dedicated ai-memory account or per user session; this package provides both an OpenRC service and, with USE=systemd, the upstream units for each scope.

Homepage:

https://github.com/akitaonrails/ai-memory

License:

MIT Apache-2.0 BSD CC0-1.0 CDLA-Permissive-2.0 ISC MIT MPL-2.0 Unicode-3.0 ZLIB

Versions

Metadata

Description

• ai-memory is a long-term memory server for AI coding agents, spoken to over the Model Context Protocol (MCP). It keeps everything on the machine it runs on: pages live in a bundled SQLite database with FTS5 full-text search, a git-versioned wiki records how they changed, and embeddings for semantic search are computed in-process by a pure-Rust BERT model on the CPU, so no text has to leave the host to make search work. Optional providers (Anthropic, OpenAI, Gemini, GitHub Copilot and any OpenAI-compatible endpoint) can be configured for consolidation and hosted embeddings when that trade is wanted. It ships a single ai-memory binary that serves MCP over stdio or HTTP, exposes a small web UI, and installs per-vendor hook scripts under /usr/share/ai-memory/hooks for Claude Code, Codex, Cursor, Gemini CLI, opencode and others. The daemon can run system-wide under the dedicated ai-memory account or per user session; this package provides both an OpenRC service and, with USE=systemd, the upstream units for each scope.

Maintainers

• Lucas C.S. (lucascs@proton.me) - Type: person

Upstream

• Bugs: https://github.com/akitaonrails/ai-memory/issues
• Remote IDs:
  • github: akitaonrails/ai-memory

<pkgmetadata>
	<maintainer type="person">
		<email>lucascs@proton.me</email>
		<name>Lucas C.S.</name>
	</maintainer>
	<longdescription lang="en">
		ai-memory is a long-term memory server for AI coding agents, spoken to
		over the Model Context Protocol (MCP). It keeps everything on the
		machine it runs on: pages live in a bundled SQLite database with FTS5
		full-text search, a git-versioned wiki records how they changed, and
		embeddings for semantic search are computed in-process by a pure-Rust
		BERT model on the CPU, so no text has to leave the host to make search
		work. Optional providers (Anthropic, OpenAI, Gemini, GitHub Copilot and
		any OpenAI-compatible endpoint) can be configured for consolidation and
		hosted embeddings when that trade is wanted.

		It ships a single ai-memory binary that serves MCP over stdio or HTTP,
		exposes a small web UI, and installs per-vendor hook scripts under
		/usr/share/ai-memory/hooks for Claude Code, Codex, Cursor, Gemini CLI,
		opencode and others. The daemon can run system-wide under the dedicated
		ai-memory account or per user session; this package provides both an
		OpenRC service and, with USE=systemd, the upstream units for each scope.
	</longdescription>
	<upstream>
		<bugs-to>https://github.com/akitaonrails/ai-memory/issues</bugs-to>
		<remote-id type="github">akitaonrails/ai-memory</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] Ebuild 2.1.1 has a line exceeding 80 positions on line 64.
• [Warning] Ebuild 2.1.1 has a line exceeding 80 positions on line 151.
• [Warning] Ebuild 2.1.1 calls 'systemd_dounit' conditionally based on a USE flag. Small files must be installed unconditionally (PG0301).
• [Warning] Ebuild 2.1.1 calls 'systemd_newuserunit' conditionally based on a USE flag. Small files must be installed unconditionally (PG0301).
• [Warning] USE flag 'systemd' in ebuild 2.1.1 is not documented in metadata.xml
• [Error] Manifest entry for unused DIST file 'ai-memory-2.1.0-crates.tar.xz'
• [Error] Manifest entry for unused DIST file 'ai-memory-2.1.1.tar.gz'
• [Error] Repository is missing a repo-name in metadata/layout.conf or profiles/repo_name
• [Notice] Package has only unstable keywords for arch(es): [ amd64, arm64 ], all versions are unstable: [ 2.1.1 ]

USE Flags

Manage flags for this package: euse -i <flag> -p dev-util/ai-memory | euse -E <flag> -p dev-util/ai-memory | euse -D <flag> -p dev-util/ai-memory

Files

• ai-memory-user.initd
• ai-memory.confd
• ai-memory.initd

Manifest