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How to use Memoket Kite: what you can do with it

What is Memoket Kite? KITE by Memoket is an open-source, vector-free Python library that turns conversations into dated facts filed under topics and answers questions with the source lines behind them.

How do I use it? Install the library: python -m pip install memoket-kite; then set your key, replacing the placeholder with your own: export OPENAI_API_KEY="sk-..."; create the artifacts folder: mkdir -p artifacts. Full steps below.

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3 use cases

  • Answer who owns a client account now, with sources

    Store dated client messages and get the current answer with the exact lines it rests on.

    View prompt
    Use the memoket-kite repo's Python API. Load artifacts/quickstart.xml, store each stored message about <client account> with remember, then call answer_with_evidence on "Who owns <client account> now?" Expected output: the current owner's name plus the source lines with their dates. Verify that the most recent dated source supports the answer before you report it.
  • Stop assistants from guessing answers never stored

    Get an empty recall result for questions memory never covered, so the agent says it does not know.

    View prompt
    Use the memoket-kite repo's Python API. Load artifacts/quickstart.xml and run memory.recall on <question> that was never stored. Expected output: an empty result list, and the agent replies that the answer was not recorded. Verify the result list has zero items before the agent makes any claim.
  • Rerun the LoCoMo and LongMemEval benchmark scores

    Rebuild the reported benchmark results locally to check KITE's scores before you adopt it.

    View prompt
    Use the memoket-kite repo. Follow benchmarks/README.md to run the LoCoMo evaluation with a configured compatible LLM endpoint. Expected output: a local judging manifest with an overall accuracy and an average reader context. Verify that the manifest's commit and corpus digest match the run before you compare the score with the README's 93.51%.

Quick start with Memoket Kite

  1. Check you have what it needs: Python with pip available; An OpenAI API key, or an OpenAI-compatible provider with OPENAI_BASE_URL set; Network access to download the demo_codebook.xml file from GitHub.
  2. Open memoket/memoket-kite on GitHub and read the README and license.
  3. Install the library: python -m pip install memoket-kite
  4. Set your key, replacing the placeholder with your own: export OPENAI_API_KEY="sk-..."
  5. Create the artifacts folder: mkdir -p artifacts
  6. Download the demo file: curl -fsSL https://raw.githubusercontent.com/memoket/memoket-kite/main/examples/data/demo_codebook.xml -o artifacts/quickstart.xml (inferred, check the README)

These steps come from our top use case, Answer who owns a client account now, with sources, which also has a copy-paste agent prompt.

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About this repo

  • Who it is forPython developers building AI agents or assistants that must remember changing facts about people, clients, or accounts and show where each answer came from.
  • Why it is hot219 stars, launched 75 days ago
  • LanguagePython
  • Sourcegithub.com/memoket/memoket-kite · Back to Hot repos

Requirements

  • Python with pip available
  • An OpenAI API key, or an OpenAI-compatible provider with OPENAI_BASE_URL set
  • Network access to download the demo_codebook.xml file from GitHub
  • Conversation text you are allowed to store in a local memory file

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Questions about Memoket Kite

What is Memoket Kite?

KITE by Memoket is an open-source, vector-free Python library that turns conversations into dated facts filed under topics and answers questions with the source lines behind them. It is an open-source project on GitHub: https://github.com/memoket/memoket-kite.

How do I use Memoket Kite?

Install the library: python -m pip install memoket-kite; then set your key, replacing the placeholder with your own: export OPENAI_API_KEY="sk-..."; create the artifacts folder: mkdir -p artifacts. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Memoket Kite for?

Python developers building AI agents or assistants that must remember changing facts about people, clients, or accounts and show where each answer came from.

What can I do with Memoket Kite?

3 use cases so far, for example: Answer who owns a client account now, with sources; Stop assistants from guessing answers never stored; Rerun the LoCoMo and LongMemEval benchmark scores. Each has steps and a copy-paste agent prompt.

What do I need to run Memoket Kite?

Python with pip available; An OpenAI API key, or an OpenAI-compatible provider with OPENAI_BASE_URL set; Network access to download the demo_codebook.xml file from GitHub; Conversation text you are allowed to store in a local memory file.

What are alternatives to Memoket Kite?

Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.

Is Memoket Kite safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.