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How to build and query Jev Mem over your own observations with Jev Mem

Load your JSON notes into a Jev Mem cache with live models and ask questions answered from retrieved evidence.

Credentials. The .env file holds provider API keys, so keep it local and out of version control, and avoid pasting keys into agent prompts or logs.

Who it is forA developer building a persistent assistant that must remember user preferences across sessions and recall them later.

The problemThe assistant forgets details from earlier conversations, and the team needs memory that keeps original observations with timestamps and provenance.

The outcomeA local memory cache built from your observations, plus an answer to a question about a stored preference, produced by the OpenAI-compatible model.

What you need first

  • Python 3.11 or newer and a terminal
  • A local copy of the repository (the README assumes you run commands from the repository root)
  • For live runs: a TypeSafe API key and an OpenAI API key, plus network access, since live runs may incur charges
  • For benchmarks: the LoCoMo dataset placed at data/locomo10.json, obtained from its original distributor per the data setup guide

Steps

  1. Create a .env file in the repository root with TYPESAFE_API_KEY=your-typesafe-key and OPENAI_API_KEY=your-openai-key.
  2. Format your data as a JSON list of strings or objects with content, an optional ISO 8601 timestamp, and optional metadata.
  3. Build the cache with python -m jev_mem --mode build --input examples/observations.json --jev-config config/jev_mem.json --cache-dir ./jev_mem_cache/app, replacing the input path with your file. (inferred, check the README)
  4. Query it with python -m jev_mem --mode query --question "What reminder does Mira prefer?" --jev-config config/jev_mem.json --cache-dir ./jev_mem_cache/app, replacing the question with your own. (inferred, check the README)

Prompt for your agent

In the Jev-Mem repository at <target-folder>, build a cache from <input-json-file> using `python -m jev_mem --mode build` with config/jev_mem.json, then query it with `--mode query` using the question <question>. Return the answer and confirm that the cache folder was created locally.

Caveat. Live runs send your text to the configured providers and may incur charges, and the README says to keep keys, conversations, and caches local, so review SECURITY.md before using private data.

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