{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "slow-stack-mneme--run-memory-search-fully-offline",
 "repo": "slow-stack/mneme",
 "repo_url": "https://github.com/slow-stack/mneme",
 "repo_slug": "slow-stack-mneme",
 "title": "Run memory search fully offline with local embeddings",
 "page_title": "How to run memory search fully offline with local embeddings with Mneme",
 "summary": "Switch the embedding provider to local so semantic recall needs no API key.",
 "who": "A user who wants recall to work without sending data to an external embedding service or needing an API key.",
 "problem": "Semantic search normally depends on an external embedding provider, which conflicts with keeping memory on the machine.",
 "outcome": "Retrieval uses a local embedding model and reranking, and keyword and BM25 search keep working when no embedding is set.",
 "steps": [
  "Install the plugin: `dsh plugin --profile web add @modusensus/dsh-mneme`",
  "Start DSH with `dsh web`",
  "Open 设置 → 记忆库设置 and change embedProvider from openai to local",
  "Open the status panel and check that the vector index is building before relying on semantic recall (inferred, check the README)"
 ],
 "agent_prompt": "In the dsh-mneme repo, set embedProvider to local in the memory library settings, save one test memory, then run a semantic search for a paraphrase of it. Expected output: the test memory returned in the results. Verify that no API key field is required for the search to succeed.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "Setting embedProvider to local keeps retrieval offline, but consolidation and summaries still use your configured host model unless you clear the dream and summarize provider settings as the README describes.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "javascript",
 "requirements": [
  "DeepSeek Harness (DSH) installed, with the dsh command available",
  "Node.js and npm for the MCP server and the standalone daemon",
  "Access to the DSH settings panel to generate an external access token"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/slow-stack-mneme/run-memory-search-fully-offline/",
 "md": "https://dedupedai.com/use-cases/slow-stack-mneme/run-memory-search-fully-offline/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/slow-stack-mneme--run-memory-search-fully-offline.json",
 "api_version": "v1"
}