akitaonrails/ai-memory: Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors
Why CEREBRO kept it
Agent memory and vendor handoff; directly relevant to multi-agent systems
The text below is an automated extraction of the article at https://github.com/akitaonrails/ai-memory, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).
Long-term memory for AI coding agents. Quit Claude Code mid-task, start OpenAI Codex in the same directory, continue without re-explaining the architecture, the failed approaches, or the open questions. | Area | Status | Notes | |---|---|---| | Linux | Supported | Primary Docker/server target and CI platform. Published Docker images support linux/amd64andlinux/arm64. Native Arch/AUR packages include system and user systemd units. | | macOS | Supported | Workspace tests run in CI; tagged releases publish native ai-memory-macos-aarch64.tar.gzandai-memory-macos-x86_64.tar.gzbinaries. The native
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