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flywheel-mneme

PyPIInfrastructure

PulseGate's liveness check found it on 22 Sep 2026; it is registered on PyPI and has been in the index since 22 Sep 2026. How this is checked

flywheel-mneme is a Python package for accountable AI-agent memory with layered retrieval, source provenance, re-derivable recall receipts, and drift checks. It supports local integration into agent systems without runtime dependencies.

Inferred · not functionally tested

LicenseRef-FSL-1.1-MITCLISelf-hosted
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Overview

6 features

Purpose: AI agents lose trustworthy long-term context and cannot explain or reproduce how memories were retrieved.

Inferred · not functionally tested

Audience: AI developers building agent memory systems

Inferred · not functionally tested

Functions: rag

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: unknown · license: LicenseRef-FSL-1.1-MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org. These links do not verify the individual claims.

flywheel-mneme is a Memory & skills project. Inferred · not functionally tested: AI agents lose trustworthy long-term context and cannot explain or reproduce how memories were retrieved. Inferred · not functionally tested: flywheel-mneme is an open-source project aimed at AI developers building agent memory systems. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

flywheel-mneme first shipped in 2026. Inferred · not functionally tested: Key capabilities include Layered Retrieval, Source Provenance, and Recall Receipts.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Layered Retrieval
  • Source Provenance
  • Recall Receipts
  • Drift Checks
  • BM25 Retrieval
  • Zero Dependencies

Topics: Inferred · not functionally tested

Tags
agent-memoryprovenance-trackingretrieval-receiptsdrift-detection
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
LicenseRef-FSL-1.1-MIT
Public signals
HTTPS

Indexing history

5

What PulseGate has recorded for this listing

  1. Indexed3 Oct · 21:27 UTC
    flywheel-mneme seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed1 Oct · 08:38 UTC
    flywheel-mneme seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  3. Indexed27 Sep · 04:11 UTC
    flywheel-mneme seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  4. Indexed27 Sep · 02:35 UTC
    flywheel-mneme seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  5. Indexed22 Sep · 22:34 UTC
    flywheel-mneme seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about flywheel-mneme

What does flywheel-mneme do?
Inferred · not functionally tested: AI agents lose trustworthy long-term context and cannot explain or reproduce how memories were retrieved. It is catalogued under Memory & skills on PulseGate.
Who is flywheel-mneme for?
Inferred · not functionally tested: flywheel-mneme is an open-source project built for AI developers building agent memory systems.
What platforms does flywheel-mneme run on?
Basis unknown · not verified: flywheel-mneme runs on the command line. It can also be self-hosted.
Is flywheel-mneme still active?
PulseGate's liveness check found it on 22 Sep 2026.
What are alternatives to flywheel-mneme?
Similar projects tracked by PulseGate include mnemonn, getmnemo, and Mnemo Cloud.mnemonngetmnemoMnemo Cloud
When did flywheel-mneme launch?
flywheel-mneme first shipped in 2026.

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