
HEADROOM — how fast is your machine, really?
Measure your GPU's real memory-bandwidth ceiling for local AI in 30 seconds.
Ar5en1c · HN
Headroom – measure your GPU's true bandwidth ceiling for local AI
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Measure your GPU's real memory-bandwidth ceiling for local AI in 30 seconds.
Ar5en1c · HN
Headroom – measure your GPU's true bandwidth ceiling for local AI

A browser-native intent memory for individual contributors. Never lose what you meant to do.
@Slaetapp · X

Store shared memories once and reuse them across AI systems and your team.
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team

Semantic caching reduces LLM token costs and latency for AI queries.
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]

Real-time memory and context layer for voice AI agents with sub-10ms latency.
@SouravDaaa · X
- End to end personalised memory retrieval in 10ms. Would love some feedback here

Compare latency and throughput across multiple LLM API providers.
@QAInsights · X

A shared memory layer that persists your decisions, preferences, and projects across different AI tools and devices.
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

Hosted JSON database for storing agent memory with REST and MCP connectivity
@StuSim · X
hey Adam, I run , lightweight agent memory

Share context across AI agents so they remember your codebase and task history.
@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.

Add persistent memory and knowledge to AI agents with drop-in files, URLs, and native MCP integration.
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.

Adds permanent memory to Claude and other LLMs so you don't repeat yourself in new sessions.
@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

Rent GPU/CPU compute and deploy open-source AI models with an API router.
playAutonomica · GitHub
Autonomica Rent GPUs and run any AI model, paid in SOL. Buy with $RAM and every $RAM spent gets burned.