{
  "id": 9788745,
  "title": "Jevmem – automatic project memory for Claude Code, built on Jev",
  "url": "https://urgent.news/2026/09/25/jevmem-automatic-project-memory-for-claude-code-built-on-jev",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-25T16:04:04.000Z",
  "source": {
    "name": "Hacker News",
    "slug": "hacker-news",
    "url": "https://github.com/Avinash-jetwani/jevmem"
  },
  "original_language": "en",
  "account": "Jevmem is an automatic project memory system for Claude Code that functions with Cursor and Codex as well. Upon initialization, it generates JEVMEM.md, jevmem.config.json, and a .jevmem folder, as well as adding two Claude Code hooks to .claude/settings.local.json. This configuration is then added to .gitignore. The system relies on the MCP add_memory command, which undergoes the same gate as the hooks. Client configurations can be found in docs/mcp.md.\n\nThe system is evaluated on held-out turns, with seven deciders given the same state for consistency. The decision process takes 0.30 seconds through the Jev API, with an end-to-end time of 0.6 seconds, including Node startup. This is significantly faster than current LLMs, which take between 2.8 and 4.3 seconds. On 66 held-out turns, Jevmem's median decision time was 0.30 seconds, compared to the LLMs' range of 2.8-4.3 seconds.\n\nAccuracy-wise, Jevmem performs on par with current LLMs, with a save/skip rate of 98.5%, tied with GPT-6 Astra for the highest. Its save+kind accuracy is 95.5%, matching GPT-6 Astra and Claude Opus 5.5, and surpassing other models. GPT-6 Astra and Claude Opus 5.5 were more accurate on the save+kind metric, while Claude Fable 5.1 and GPT-6 Luna tied. GPT-6 Luna, Gemini 3.8 Flash, and Grok 4.7 were less accurate.\n\nIn terms of cost, GPT-6 Luna is the cheapest at $0.000089 per decision, while Jevmem costs $0.000127. However, Jevmem is significantly faster, with about 40-60 times the speed and 9-12 times the latency of GPT-6 Luna. If the most accurate decision is paramount, GPT-6 Astra or Claude Opus 5.5 are preferable, but at a much higher cost and latency. Jevmem excels when a fast, cost-effective decision on each message is desired.",
  "summary": null,
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "TechRadar",
        "title": "Claude Code deleted 48,000 files in 103 seconds in a dire AI agent warning",
        "url": "https://urgent.news/2026/09/25/claude-code-deleted-48-000-files-in-103-seconds-in-a-dire-ai-agent",
        "published": "2026-09-25T13:53:59.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}