memquilt
v0.0.1
Published
Federated memory layer for AI tools. Stitches AI memories across tools instead of replacing them. Pre-alpha placeholder — active development.
Maintainers
Readme
memquilt (Node.js)
The federated memory layer for AI. Stitches, doesn't replace.
MemQuilt stitches AI tools' memories into one federated layer. Each tool keeps its own store — MemQuilt adds cross-tool search, knowledge graph, and dreaming on top. Open source. Local-first.
Website: https://memquilt.com Repository: https://github.com/memquilt/memquilt
Status: Pre-alpha placeholder
This package (version 0.0.1) is a namespace placeholder. The functional
implementation is actively under development. The first working release
(0.1.0) is expected within the next 3–6 months.
If you install this today:
const memquilt = require("memquilt");
console.log(memquilt.hello());
// MemQuilt — stitches AI memories across tools. Pre-alpha placeholder. See https://memquilt.comThat's all for now. Watch the repository for updates.
Related packages
@memquilt/core— same placeholder under the official@memquiltscope, reserved for future sub-packages (@memquilt/adapter-openclaw,@memquilt/adapter-hermes,@memquilt/adapter-mempalace,@memquilt/adapter-claudecode).
What MemQuilt will be
MemQuilt is a dual-layer memory system for AI tools:
- Backend layer — gives "dumb" tools (Codex, Cursor, Gemini CLI, bare shells) a real memory backend with Weibull decay, three-tier promotion, five-state LLM dedup, and threat scanning.
- Federation layer — lightweight pointer index over "smart" tools that already have their own memory (OpenClaw, Hermes Agent, MemPalace, Claude Code). MemQuilt does not migrate their data; it only indexes and connects.
- Global brain layer — unified cross-source scoring, knowledge graph (entities + temporal triples), and three-phase Dreaming (light / deep / REM) that reads both layers and writes consolidated insights back into the Backend layer only.
Design principle: don't replace source memory systems — stitch them into something greater. Like patches in a quilt, each memory source keeps its color, its cadence, its lineage. The golden seams between them are where cross-tool intelligence emerges.
License
MIT — see LICENSE.
