* [Signet AI v0.128.0](https://github.com/Signet-AI/signetai) – Local-first identity, memory, and secret management for AI agents, providing portable state across sessions, models, and harnesses.

* [Magic Context dashboard-v0.5.0](https://github.com/cortexkit/magic-context) – Cache-aware infinite context with cross-session memory and background history compression for AI coding agents.

* [Mnemon v0.1.13](https://github.com/mnemon-dev/mnemon) – LLM-supervised persistent memory for AI agents with graph-based recall, intent-aware retrieval, importance decay, and automatic deduplication.

* [The Agent Guild v0.3.2](https://github.com/mathomhaus/guild) – Provides shared context, memory, and task coordination for AI coding agents via a single Go binary with local SQLite and hybrid keyword/semantic search.

* [remindb v0.3.11](https://github.com/radimsem/remindb) – Single-file SQLite memory for agents with token-efficient node hashing, temperature-based hot/cold ranking, and built-in summarization.

* [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.

* [Mainline v0.4.8](https://github.com/mainline-org/mainline) – Provides a Git-native memory layer that records and exposes engineering intent for coding agents before diffs.