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Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.

  • Updated Jul 14, 2026
  • Jupyter Notebook

The explainable, local-first memory engine for AI agents. One ~9 MB binary fuses vector + graph + columnar under VelesQL; why() returns the evidence path behind every recall. No cloud, no glue code — runs on server, browser, mobile and desktop.

  • Updated Jul 19, 2026
  • Rust
mirofish-guide

Community MiroFish guide and AI-agent skill with operator workflow, troubleshooting, evaluation rubric, prompt engineering, model and proxy compatibility, runtime forensics, and report audit.

  • Updated Jun 9, 2026
MemGuard

Stop AI agents from confidently using stale facts. MemGuard validates memories in Mem0, Zep, Letta & LangMem against reality — trust scores, quarantine, tamper-proof audit trail, MCP tools. Like Datadog for agent memory.

  • Updated Jun 11, 2026
  • Python

AI agent memory & infrastructure landscape — comparative catalog of 912 systems × 68 columns covering memory layers, agent frameworks, runtimes, vector stores, knowledge graphs, MCP servers, benchmarks. Searchable with typed edges, lineages, citations.

  • Updated Jul 19, 2026
  • HTML

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