Script to set MLX memory limits · GitHub
OpenMemory - AI Memory MCP Server for Coding Agents | Mem0
With OpenMemory, add persistent, project-aware memory to Cursor, Windsurf, and VS Code agents. Store preferences, patterns, and context that get retrieved automatically.
omlx/docs/experimental/dflash_mlx_integration.md at main · jundot/omlx
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar - jundot/omlx
A practical guide to WebAssembly memory | radu's blog
Memory in WebAssembly is one of the topics that creates confusion for newcomers, particularly for those with experience in languages with memory management features like garbage collection, such as JavaScript, Go, or Java. In this article we explore using memory in WebAssembly in various scenarios - passing JavaScript arrays to Rust and AssemblyScript modules, checking for some basic memory leaks using Valgrind, or exchanging strings between runtimes and modules using Wasmtime.
Inference Time Memory Module | Research | Tiles
Simple inference-time memory module that treats memory management as a series of LLM calls and agent loops over a markdown-based file tree.
Awni Hannun on Twitter / X
The latest mlx-lm is out and it has continuous batching with mlx_lm.server! Added by @angeloskath Check-out the video of 4 simultaneous requests running with Qwen3 30B on the same M2 Ultra: https://t.co/o9sFC3k4DN— Awni Hannun (@awnihannun) December 3, 2025
Using LLM in the shebang line of a script
This comment on Hacker News inspired me to investigate patterns for using my LLM CLI tool in a shebang line:
[Tool Release] Finetune & Quantize 1–3B LLMs on 8GB RAM using LoFT CLI (TinyLlama + QLoRA + llama.cpp)
23 votes, 16 comments. Hey folks — I’ve been working on a CLI tool called LoFT (Low-RAM Finetuning Toolkit), and I finally have a working release. 🔧…
syke/docs/MEMEX_EVOLUTION.md at main · saxenauts/syke
ambient memory agent, your machine's psyche. Contribute to saxenauts/syke development by creating an account on GitHub.
MemGPT
Memory-GPT (MemGPT) - Towards LLMs as Operating Systems - Teach LLMs to manage their own memory for unbounded context!
mlx-examples/stable_diffusion at main · ml-explore/mlx-examples
Examples in the MLX framework. Contribute to ml-explore/mlx-examples development by creating an account on GitHub.
Heaps do lie: debugging a memory leak in vLLM. | Mistral AI
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
i can’t help but think we’re far from nailing memory systems this one here is extremely interesting. two LLMs at once, one just managing and surfacing memory for the other
Asa
I'm not a fan of the decoupled 'memory retrieval → task execution' loop, so my agent has a subconscious background thread that looks for relevant, unique memory context in its experiential database while it runs and injects it on top of the live context window.
