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bikem

Local-first memory and drift detection for long AI sessions.

import bikem

with bikem.session("fix-auth-bug"):
    response = client.chat.completions.create(
        model="gpt-4o",
        messages=[{"role": "user", "content": "explain this stack trace"}],
    )
# every call is now recorded to ~/.bikem/sessions/

Long AI sessions forget. They drift. They repeat. When something breaks at step 40, you cannot reproduce it because the model is non-deterministic. bikem records every LLM and tool call to a local JSONL file, reinjects the right context so the session stops degrading, and flags the moment output starts drifting from the original task.

No account. No network calls to us. Your traces are files on your disk.

Install

pip install bikem

Status

Alpha. Recorder and store are being built now.

License

MIT

Metadata

Release files for bikem 0.1.2

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Source distribution for bikem 0.1.2
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bikem-0.1.2-py3-none-any.whl Python 3 none any Details

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