keymem
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- AlicenseAqualityDmaintenanceEnables LLM agents to use associative memory with key/value graph-based retrieval, supporting multi-hop traversal and human-like associative leaps beyond embedding similarity.10MIT
- AlicenseAqualityCmaintenancePersistent memory for LLM agents — episodic/semantic/procedural memory, auditable forgetting, and a benchmark proving it actually recalls things days later.5MIT
- AlicenseAqualityCmaintenanceLong-term memory for AI agents. Compiles conversations into a structured knowledge base with Claim/Evidence model, source provenance, append-only timeline, and contradiction detection. Multi-path retrieval (Exact + BM25 + Graph + weighted RRF + reranker) — 96.6% R@5 on LongMemEval-S, zero vector dependencies.83MIT

Nexusyn Engineofficial
AlicenseNot gradedqualityBmaintenanceLong-term persistent memory for AI agents with hybrid search (DiskANN + FTS), bi-temporal knowledge graph, and 81.1% LongMemEval accuracy.1Apache 2.0- AlicenseNot gradedqualityBmaintenanceSelf-evolving knowledge graph for AI agents — persistent memory that gets smarter with every interaction.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceLong-term memory for AI agents over MCP — episodic + semantic memory, a temporal knowledge graph, and a dialectic user model, exposed as 32 tools (recall, remember, context, graph, dreaming, peers). Zero dependencies, runs fully offline; leads the LoCoMo benchmark at ~35x fewer LLM calls.2Apache 2.0
TDQS
Scored across 10 tools
Each tool targets a distinct operation in the memory lifecycle: recall/search, key browsing, key reading, memory reading, saving, confirming, correcting, dismissing, and forgetting. The hierarchical workflow (recall → read_key → read_memory) and the clear separation between content, validity, and key-link management eliminate ambiguity. No two tools appear to do the same thing.
All names use lower snake_case and are readable, with no mixed casing or cryptic abbreviations. The main deviation is that some tools are bare verbs (recall, correct, dismiss, forget, remember) while others follow verb_noun (read_key, read_memory, browse_keys, confirm_memory, remember_batch), but this remains mostly predictable.
Ten tools is well-scoped for a long-term memory server. The set covers discovery, read, write, update, delete, and link-reinforcement without obvious redundancy. Each tool earns its place, and the count stays within the ideal 3–15 range.
The surface covers full memory lifecycle operations: recall/search, browse, read, remember, remember_batch, confirm, correct, dismiss, and forget. It also handles navigation through keys and memories, validity, and link weakening. No core CRUD or lifecycle operation appears missing for the stated domain.