Ar5en1c · HN

Headroom – measure your GPU's true bandwidth ceiling for local AI

@Slaetapp · X

Repeater22746 · HN

ContextVault – Shared memory layer for your AI and your team

u/ornymo_official · Reddit

how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

@SouravDaaa · X

- End to end personalised memory retrieval in 10ms. Would love some feedback here

@QAInsights · X

upload — 跨 AI 的长期记忆层，让 ChatGPT、Claude、Codex、Hermes、OpenClaw、WorkBuddy 等共用同一份记忆，换工具换设备都接着上次继续，注册即用免装插件

@StuSim · X

hey Adam, I run , lightweight agent memory

@dorikuio · X

AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.

kitforai · GitHub

kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.

@Nikborneklint · X

Shipped today: AEGIS Code's Terminal picker now includes @xai's grok CLI alongside AEGIS Code & Claude Code — all sharing one memory bridge via MCP. Local memory's free forever. #grokbuild @elonmusk

playAutonomica · GitHub

Autonomica Rent GPUs and run any AI model, paid in SOL. Buy with $RAM and every $RAM spent gets burned.