
systemprompt - AI Agent Infrastructure
Love OpenClaw? Now ship it to production. Built in Rust.
What it does
OpenClaw showed us AI agents can have personality and memory. But flat files and SQLite break the moment real users show up. systemprompt.io is what comes next. A Rust library that compiles into a single 50MB binary with everything production demands: - OAuth2 + WebAuthn authentication - MCP server hosting with OAuth scopes per tool - MCP apps out of the box, one click connect to Claude - Persistent agent memory with search - Multi-tenant from day one - Full observability and cost tracking
Does a similar job
all alternatives →
Remote OpenClawJul 2026 · codexmarketplaces.com · ▲8113,000+ MCP servers, skills & plugins for AI coding agents

- WIWe instrumented Claude Agent SDK using a tiny Rust proxyDec 2025 · laminar.sh · ▲6
At Laminar (https://github.com/lmnr-ai/lmnr) we're building open source AI observability platform in Rust. We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk

Mwe-MCP – self-hosted memory for AI agents that knows who may know whatJul 2026 · github.com · ▲5Hi HN, for about a year now I've been experimenting with AI agents and building my own home ecosystem; from the start I set out with the idea of an agent that behaves like a member of the family, not as a personal agent, and this made me clash very early first with OpenClaw's builtin memory, then I tested dozens of memory plugins without ever finding one that fit my purpose, so like any good builder I made my own. First on OpenClaw, as a plugin, then the idea matured and since the beginning of this year the memory plugin has evolved into an agent agnostic MCP server. It has been running my…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com

