What you can build with it

Purpose and audience

Searchable memory helps recover past decisions, debugging context and feature history across supported coding agents; Markdown remains the source of truth.

Evidence 1 ↗ · Evidence 2 ↗

How Jev fits

Optional Jev reranking uses the remote TypeSafe API to reorder memory search results without downloading a local reranker model.

Evidence 1 ↗

Using the project

Use a platform plugin for conversation capture, or the CLI and Python API to index, search and expand memories.

Evidence 1 ↗ · Evidence 2 ↗

Scope and limits

Skill distillation is off by default; generated skill candidates remain inactive until you choose to install them.

Evidence 1 ↗

Repository description

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

Project facts

Relationship to Jev
Integration
Evidence
Documented
Language
Python
License
MIT
Origin
Original repository
Repository status
Not archived
Created
2026-02-09
Last code update
2026-09-24
GitHub stars
2,671
Evidence checked
Sep 30, 2026
Metadata checked
Sep 28, 2026
Check status
Up to date

Stars measure the whole repository, including work unrelated to Jev.

Evidence and scope

Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.

Evidence commit: 2a4652fa086fbd45e92bfd8da7781ebe1642baa7

Discovered through: github-search.

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