Open-Source Memory Sidecar v3.5.1 Gives AI Agents Persistent Cross-Session Recall

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A developer has released version 3.5.1 of an open-source memory sidecar tool designed to give AI agents persistent memory across sessions. The tool stores context in three tiers — hot memory for instant recall, warm memory with semantic search, and cold memory for long-term archival. It is agent-agnostic, compatible with tools like Claude Code, Codex, and Cursor, requiring only a writable home directory. The latest update adds webhook support for platforms such as Telegram, Slack, and DingTalk, along with OpenMetrics export for Grafana dashboards and synthetic recall benchmarking. The project is MIT licensed and publicly available on GitHub.

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