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Alternatives

Products that do what memory-keeper does

99.9% DeepSeek cache hit, 3-tier context proxy

  1. 1

    Long-context efficiency with DeepSeek Sparse Attention

    Sep 2025

  2. 2DD

    We recently used DeepSeek V4 Flash as a teacher for finance tasks with GPT-OSS-120B. Distillation works well on this problem. At a constrained 8k token budget, our self-distilled 120B scores 83.61% on FinanceReasoning, above Kimi K3 (81.93%) and Inkling (65.13%). We released the 20B open weights. With V4 as the teacher though, we realized it would be timely to measure if the censorship characteristic of it transferred to the distilled version of the base model. tl;dr it didn't, the teacher answered politically sensitive questions 7 SDs differently than expected, but the distilled model's…

    Jul 2026 · ctgt.ai

  3. 3

    Take DeepSeek to the Next Level

    2025

  4. 4
    Memoriq130

    Your private AI memory for ChatGPT, Claude, Gemini and Grok

    Jun 2026 · memoriq.me

  5. 5

    Vibe profile your ML models to get max performance.

    2025

  6. 6

    One layer for memories, skills, and rules across any agent

    Feb 2026

  7. 7

    Cuts your LLM API costs by 40-70%. One line of code.

    May 2026

  8. 8MW
  9. 9CL

    Hey HN, we’re the developers of OpenLake, an open source storage engine for offloading LLM KV caches from GPU memory into a shared tier of RAM and NVMe. We built OpenLake because KV caches are outgrowing GPU memory. A single 256K token conversation on Gemma 4 31B produces approximately 43GB of KV state, more than half the memory of an 80GB H100. The problem becomes even harder across a cluster: a prefix cached on one GPU host is unavailable when the next request lands on a different GPU, forcing the new GPU to repeat work the fleet has already completed. Once the KV cache is offloaded,…

    Jul 2026 · github.com

  10. 10CA
  11. 11KC
  12. 12

    I built a specialized package of DeepSeek V4 Flash 0731 (originally 284B total parameters, 13B active), preserving reasoning, tool calling and coding capabilities: https://huggingface.co/steadfastgaze/DeepSeek-V4-Flash-0731-... I let it write a minimal C compiler targeting ARM64, then test the result with Fibonacci and FizzBuzz programs, and it succeeded in less than 1 hour, with the full recording at: https://youtu.be/XiwSilmV8B0 You can run it on Silicon Macs with my engine https://github.com/steadfastgaze/MoEspresso, while one of the…

    21d ago · huggingface.co

  13. 13AN
  14. 14AT

    While building a chat application I couldn't find find a free and opensource tool to store user sessions. This led to redcache-ai. The tool helps with semantic search, Retrieval Augmented Generation(RAG) and storage. This is an early version undergoing rapid iteration. Happy to answer questions and hear feedback.

    2024 · github.com

  15. 15

    Your AI has the memory of a goldfish. Not anymore

    Jul 2026 · yourmemoryai.xyz

  16. 16

    Terminal coding agent built for DeepSeek's cache economics

    Jul 2026 · github.com

  17. 17TB
  18. 18ZL

    Zep is a long-term memory store designed for conversational AI applications built using modern LLMs. It handles the storage, summarization, embedding, indexing, and enrichment of chat histories, and offers developers a simple, low-latency API to this data. Chat history storage is an infrastructure challenge all developers and enterprises face as they look to move from prototypes to deploying conversational AI applications that provide rich and intimate experiences to users. Key features include long-term memory persistence, auto-summarization, vector search, auto-token counting, and Python…

    2023

  19. 19

    An auditable, local-first memory engine for Open WebUI

    Jul 2026 · github.com

  20. 20

    One memory for Claude, ChatGPT, Cursor and any MCP client

    Jun 2026 · neutrally.app

  21. 21KP

    I thought it'd be interesting to use Linux PSI (Pressure Stall Information) for an LLM runtime to trim the KV cache. This is mainly useful imo for edge devices like the Jetson Orin super nano kit which have unified memory. I haven't benched much, but plan to do so more over time and see if I can make a real use of it as I run local LLMs. Let me know if it makes sense :P (I of course vibed this idea)

    Jun 2026 · github.com

  22. 22LS
  23. 23

    An agent that remembers across sessions can keep its memory as curated markdown files, as an auto-mined structured store, or as trained experience.

    22d ago · pinglin.tw

  24. 24CH

    Hi, I'm fiiv, and I'm the creator of Cache Horse. I built it because I wanted an easy plug-n-play solution to caching and simplifying HTTP requests - in particular, on frontend. First, I was fetching data like daily weather, historic currency exchange numbers, air quality readings - and many of those APIs have quota limits. And second, since I was already caching them, I thought it would be useful to batch them together - so I built that feature in. I would love to hear your feedback and thoughts on the project. Thanks!

    2025 · cache.horse

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