Kit For AI
Summary
Kit For AI is a memory layer designed for AI agents, providing persistent context and knowledge storage.
Similar Articles
Memory and Continuity Solution
IndexKit is a simple, low-cost, tag-based persistent memory system for AI agents that requires no vector database, survives model deprecations, and works with any LLM.
I built a shared memory for AI agents - so they stop forgetting, build on each other's work, and you can actually *see* what they know
A developer built kaeru, an open-source shared memory system for AI agents that allows them to persist context across sessions, share knowledge between different agents and humans, and visualize memory as a 3D galaxy. The tool supports multiple agent frameworks and includes features like time-travel, importance levels, and reasoning trails.
I got tired of re-explaining my project to every AI tool, so I built a local memory layer for them
The author built mem-port, a local MCP server that gives AI copilots (ChatGPT, Claude Code, Cursor, Windsurf) shared long-term memory via embedded SurrealDB, solving context drift between AI tools.
akitaonrails/ai-memory
ai-memory is a Rust-based tool providing long-term memory for AI coding agents, enabling seamless task continuation across different agents like Claude Code and Codex without re-explaining context.
Kit by Speakeasy
Speakeasy launched Kit, a coding agent runtime that combines a terminal client, Agent Client Protocol server, A2A endpoint, and subagent orchestrator into a single static binary aimed at faster, cheaper AI coding workflows.