kaeru memory
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Alternatives to kaeru memory
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Related Servers
- AlicenseAqualityAmaintenanceLocal-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.126Apache 2.0
- FlicenseNot gradedqualityAmaintenanceLocal memory for AI agents in one SQLite file on your own machine. Facts carry a validity window and a confidence score, so an outdated one is superseded and downweighted rather than deleted, and retrieval fuses BM25, vector similarity and a knowledge graph.2-
- AlicenseNot gradedqualityDmaintenanceA local memory engine for AI agents. Stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle, and builds a personal knowledge graph — all in a local SQLite database.17MIT
- AlicenseNot gradedqualityCmaintenancePersistent memory for AI agents with Ebbinghaus forgetting curve, semantic graph retrieval, and engineering state tracking. Local-first, DuckDB, zero cloud dependency.1MIT
- AlicenseAqualityAmaintenanceHermetic memory for AI agents — one Rust binary, one SQLite file, zero network. Recall returns evidence with provenance or abstains: no code path for making things up.229AGPL 3.0
- AlicenseNot gradedqualityAmaintenanceLocal-first, single-file, knowledge-graph memory layer for AI agents.1MIT
TDQS
Scored across 71 tools
There is heavy thematic overlap in the read family (at vs recall vs search vs tagged; drill vs neighbours vs between; path vs chain vs why) and in the write/lifecycle family (jot vs episode; settle vs synthesise; link vs link_cloud; reflect vs lint), but the descriptions go to unusual lengths to draw explicit boundaries ('drill follows only derived_from and part_of; neighbours follows all twelve'). An agent can tell them apart with care, though the sheer number of near-parallel verbs invites occasional misselection.
Casing and separators are consistent (all lowercase snake_case), but predicate style is mixed: bare imperative verbs (link, settle, pin, search), verb_noun compounds (set_status, close_review, merge_initiative, cloud_recall), and bare nouns (board, slots, ideas, outcomes, history, config). No camelCase chaos, but no single predictable convention either.
71 tools is far beyond any comfortable surface, and the rubric flags 25+ as heavy and 50+ as extreme. The domain (bi-temporal graph, tiers, layers, chains, roles, reviews, initiatives, multi-cloud sync) genuinely justifies more than a typical server, so it is not a pure mismatch, but the count is still excessive for reliable tool selection.
Coverage is remarkably exhaustive for a knowledge substrate: capture (jot/episode/cite/claim/task/evidence), layered read (at/recall/search/tagged/drill/neighbours/between/path/trace/why/history/surface), graph editing (link/unlink/reweight/chain/rechain), lifecycle (settle/unsettle/supersede/revise/synthesise/forget), task board, reviews/verdicts, roles, initiative management, cloud sync, and maintenance (reflect/lint/hygiene) plus export/import. Almost no dead ends in the domain flow.