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Hivelore

by Doucs91
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Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

A4/5.0

Scored across 16 tools

Disambiguation4/5

The core retrieval tools (get_briefing, mem_relevant_to, mem_search, mem_get) overlap in purpose, but the descriptions explicitly stage them via progressive disclosure and state when to prefer each. mem_save vs mem_tried, code_map vs code_search, and propose_sensor vs scaffold_test are clearly differentiated. Only minor residual ambiguity remains in the memory-retrieval cluster.

Naming Consistency4/5

A clear mem_* family (mem_save, mem_get, mem_update, mem_verify, mem_search, etc.) and a code_* family (code_map, code_search) give strong internal consistency, with verb_noun style elsewhere. A few standalone names (get_briefing, pre_commit_check, report_friction) break the prefix grouping, but everything stays readable.

Tool Count4/5

16 tools is at the upper edge of a comfortable set, spanning memory CRUD, code intelligence, validation, sensors, and feedback. Most tools earn their place, though report_friction and the sensor pair lean toward feature sprawl for a memory server. Slightly heavy but defensible.

Completeness4/5

Strong lifecycle coverage: create (mem_save/mem_tried), read (mem_get/mem_search/get_briefing), update (mem_update), verify (mem_verify), feedback, session recap, sensors, and pre-commit gating. The notable gap is the absence of any explicit delete/archive/forget operation, and no list-all primitive, but these are minor.

Maintenance

ActivityActive
ResponsivenessNo issues

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