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Magnemo-AI

Magnemo

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by Magnemo-AI
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Python
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    Deploy Server
    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A4/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool has a clearly stated role in the memory lifecycle (stage/keep/drop/pending/retrieve) plus session tools (handoff/bootpack). Minor overlap exists: handoff also stages a note (overlapping with stage), and pending and bootpack both surface staged/review content, but the descriptions delineate their boundaries well enough.

    Naming Consistency3/5

    Names are all lowercase single tokens with no case-style inconsistencies, but they mix verbs (stage, keep, drop, retrieve) and nouns (handoff, pending, bootpack) with no predictable verb_noun pattern. Readable but not a consistent convention.

    Tool Count5/5

    Seven tools map cleanly onto the vault's capture-review-approve-retrieve-session lifecycle; each tool earns its place and none appears redundant filler.

    Completeness4/5

    Core lifecycle is covered: propose, approve, reject, list pending, retrieve canon, boot context, and session handoff. Gaps exist around editing/amending a staged note and managing canon directly (no update/delete of Memory), but agents can work around these via stage/drop.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources