* [TencentDB Agent Memory v2.0.2](https://github.com/TencentCloud/TencentDB-Agent-Memory) – TencentDB Agent Memory provides symbolic short-term and layered long-term memory for AI agents to retain context and reduce token usage without external APIs.

* [cass-memory v0.5.0](https://github.com/Dicklesworthstone/cass_memory_system) – Provides persistent, cross-agent procedural memory by converting scattered session logs into structured, confidence-tracked rules.

* [Inno Agent v0.7.0](https://github.com/hhyqhh/inno-agent) – Personal learning agent with layered memory, cron-based scheduling, IM notifications, and a workspace-scoped practice lab across both TUI and web UI.

* [betteralign v0.15.3](https://github.com/dkorunic/betteralign) – Tool to detect and optionally reorder struct fields for reduced memory usage in Go programs.

* [Everroom desktop-v0.1.9](https://github.com/NxcoreAI/EverRoom) – A local-first context workspace that connects evidence to AI agents, governing memory and project decisions through reviewable, room-scoped documents and operations.

* [Obelisk v0.2.5](https://github.com/tommy0103/obelisk) – Agent-first retrieval and a desktop browsing app that indexes Claude Code and Codex sessions into a shared SQLite history for querying and memory management.

* [React Native Plain Text v0.9.3](https://github.com/mdjastrzebski/react-native-plain-text) – React Native Plain Text provides a faster, lower-memory alternative to RN Text by rendering simple single-style labels directly with native text widgets.

* [dsh-auto-memory v3.2.9](https://github.com/Aik358/dsh-auto-memory) – Auto-associative memory for DSH that recalls context unbidden, consolidates it into skills, and manages cross-window state with checkable provenance.