Ross ROSS = Recommend OSS · open-source software intelligence for agents

mex-memory/mex

Persistent project memory for AI coding agents. Structured scaffold + drift detection CLI. observed · 2026-08-28

github.com/mex-memory/mex · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

81/100

  • Activity 99
  • Release rhythm 98
  • Longevity 11

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 15
  • age_days: 165
  • days_rel: 13
  • days_push: 7
  • n_releases_24m: 10

Full methodology

Adoption not part of the score

1526 stars · 107 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

mex is a TypeScript CLI that gives AI coding agents persistent, structured project memory: it maps the codebase into a deterministic code graph, turns agent learnings into Markdown wiki pages, and routes only task-relevant context into each session. It also offers an MCP server and drift detection that flags knowledge affected by code changes.

Use cases

  • give my AI coding agent persistent memory of the codebase
  • stop agents re-scanning the whole repo every session
  • detect when documentation drifts from the code
  • share a common knowledge base across Claude Code, Cursor, and Codex
  • build a code knowledge graph for my repository
  • load only relevant architectural context per task
  • set up an MCP server for project context

When to choose

  • you use AI coding agents (Claude Code, Cursor, Codex) on a large codebase and want structured, source-linked memory instead of a giant stale instruction file
  • you want drift detection tying documentation to exact code symbols
  • you want an MCP-compatible context server with deterministic graph retrieval

When to avoid

  • you need a fully managed team-hosted memory service - that's a separate early-access offering, not this open-source CLI
  • your project is small enough that a single AGENTS.md file suffices
  • you're not using AI coding agents at all

Facets

cli-tool · maturity active

developer-tools documentation search-engine mcp cli parser developer-tools large-language-models documentation apis cli cross-platform ai-coding-agents agent-memory context-management code-graph knowledge-graph tree-sitter claude-code cursor drift-detection living-wiki ai-agents nodejs

2 sources

Member repositories

RepositoryRoleHealth v2
mex-memory/mexmain81

For agents

markdown · JSON · MCP: product_card(name="mex-memory/mex")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem