Raw Metadata XML
<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.
This package installs the prebuilt x86_64 or aarch64 executable
published by upstream on GitHub Releases, together with the hooks,
configuration templates and packaging files carried in the same
tarball, so it installs exactly the same file set as the from-source
dev-util/ai-memory. The two are mutually exclusive: both install
/usr/bin/ai-memory. The binary is linked against glibc and will not
work on a musl profile.
</longdescription>
<upstream>
<changelog>https://github.com/akitaonrails/ai-memory/releases</changelog>
<bugs-to>https://github.com/akitaonrails/ai-memory/issues</bugs-to>
<remote-id type="github">akitaonrails/ai-memory</remote-id>
</upstream>
</pkgmetadata>