memory layer

Slowave is a local memory layer for coding agents and AI tools. It stores memories in SQLite, supports several clients, and includes installation, quick start, and a local dashboard for reviewing memories, retrievals, and activity.

Itsuki is an open-source memory layer for AI tools and agents. It offers a single key and structured, source-linked memories across assistants, coding agents, workflows, SDKs, REST, and MCP integrations.

Lapse is a personal memory layer for AI tools, letting users speak naturally and have memories captured, tagged, and read back through MCP, a custom connector, and a REST API.

Git-native memory for coding agents that stores repo intent, decisions, constraints, and review context before the diff. The repo includes the problem statement, product positioning, install steps, and agent hooks for tools like Claude Code, Cursor, and Codex.

A GitHub repo section documenting a benchmark for Vestige, a local-first Rust MCP memory layer for multi-agent coding fleets. The page explains the benchmark setup, what is being measured, how to reproduce the main claim, and where to find transcripts, evidence, and harness code.

Galahad is an AI memory layer that saves and restores model KV cache, supports document recall, and plugs into vLLM, SGLang, and llama.cpp. The page also shows agent features like replay, branching, rewind, and fault-finding.