* [ByteRover CLI v3.16.0](https://github.com/campfirein/byterover-cli) – Interactive REPL CLI providing persistent, structured memory and context-tree management for AI coding agents, with cloud sync and multi-LLM support.

* [betteralign v0.12.0](https://github.com/dkorunic/betteralign) – Tool to detect and optionally reorder struct fields for reduced memory usage in Go programs.

* [tosu v4.21.0](https://github.com/tosuapp/tosu) – Memory reader for osu! that provides gameplay, beatmap and user data to overlays via WebSocket.

* [Memori v3.3.6](https://github.com/MemoriLabs/Memori) – Agent-native memory infrastructure: SQL-native, LLM-agnostic layer that turns agent execution and conversations into structured persistent state.

* [MemOS v2.0.17](https://github.com/MemTensor/MemOS) – Memory operating system for LLMs and AI agents providing unified store/retrieve/manage, multi-modal long-term memory and skill reuse.

* [cass-memory v0.2.11](https://github.com/Dicklesworthstone/cass_memory_system) – Provides persistent, cross-agent procedural memory by converting scattered session logs into structured, confidence-tracked rules.

* [Stash v0.2.11](https://github.com/alash3al/stash) – Persistent memory layer for AI agents that stores, recalls, consolidates, and learns across sessions using Postgres and an MCP server.

* [TencentDB Agent Memory v0.3.5](https://github.com/Tencent/TencentDB-Agent-Memory) – Local four-tier progressive memory system providing layered long-term and symbolic short-term memory for AI agents without external API dependencies.

* [MemLimiter v0.0.7](https://github.com/newcloudtechnologies/memlimiter) – Go library that limits service memory usage by combining adaptive GC tuning and request throttling.

* [Ogham MCP v0.14.3](https://github.com/ogham-mcp/ogham-mcp) – Persistent, searchable shared memory server for AI coding agents that syncs across clients.