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SpaceX, Reflection AI Sign $150M Monthly Compute Deal
Reflection AI will pay $150 million a month beginning July 1, 2026 through 2029 for immediate access to Nvidia's latest GB300 AI chips and supporting hardware across SpaceX's Colossus 2 data center near Memphis, Tennessee.
AppointMe: Open-Source .NET SaaS Template for Modular Monoliths
AppointMe: The Open Source .NET SaaS Template for Modular Monoliths AppointMe stands out as a versatile, open source .NET template designed to facilitate the de…
Open-Source API Key Server in Go by Ory
Open Source API Key Server in Go by Ory: Streamline API Management The Open Source API Key Server by Ory is a powerful tool designed to manage and secure API ke…
MemPalace: Top Open-Source AI Memory System
The best-benchmarked open-source AI memory system. And it's free.
Constellation: Open-Source GraphQL Engine for AI Infrastructure
Constellation: A Cutting Edge, Open Source GraphQL Engine for AI Infrastructure In the realm of AI infrastructure, managing complex data queries efficiently is …
Self-Hosted AI Agent Runtime: Nerve on Hacker News
Self Hosted AI Agent Runtime: Nerve on Hacker News The AI landscape has witnessed a new player in the form of Nerve, a self hosted AI agent runtime that has gar…
Hocuspocus 4: Self-Hosted Yjs Collaboration Backend
Hocuspocus 4: Self Hosted Yjs Collaboration Backend Revolutionize Collaboration with Hocuspocus 4 Hocuspocus 4 is a robust, self hosted collaboration backend bu…
InsForge: Open-Source Heroku for AI Coding Agents
InsForge: Your Open Source Platform for AI and Cloud Native Development InsForge is an innovative, open source platform inspired by Heroku, tailored specificall…
Mistle: Open-Source AI Infrastructure for Sandboxed Coding Agents
Mistle: Open Source AI Infrastructure for Sandboxed Coding Agents Mistle is an innovative, open source AI infrastructure designed specifically for sandboxed cod…
Open-Source Infrastructure for AI Desktop Agents
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
TRiP: Open-Source Transformer Engine in C from Scratch
TRiP: An Innovative Open Source Transformer Engine in C TRiP, or Transformer in Python (TRIP), stands out as a sophisticated open source engine meticulously cra…
Open Source AI Setup Repo Hits 800 Stars on GitHub
Yo real talk we did not expect this kind of love when we open sourced our AI setup repo but here we are sitting at 800 stars and 100 forks and we are genuinely hyped about it. The repo is a collection of AI agent setups configs and workflows that you can plug straight into your projects. No gatekeeping just pure community goodness. We built this because setting up AI agents from scratch every single time is a massive time sink. So we said forget it lets just share everything openly and let the community build on top of it. Repo is right here: [https://github.com/caliber-ai-org/ai-setup](https://github.com/caliber-ai-org/ai-setup) Now we want YOUR input. What setups are you missing? What features would make this a no brainer for your workflow? Drop your ideas below because we are building in public and your feedback actually ships. LGM 🚀
Galadriel: Optimize Claude Agents with 87% Cost Savings & Sub-3s Laten
# The "Goldfish Problem" is Expensive. I Decided to Fix the Plumbing. Most Claude implementations leave 90% of their money on the table because they don’t optimize for **Prompt Caching**. I’ve been running a personal agent in my Discord for months that manages my AWS infra and codebases, and I finally open-sourced the harness, which I’ve named **Galadriel** after my main personal assistant. # The Stats * **Cost:** $10 for every $100 you’d normally spend (Tested against OpenClaw/Cursor workflows). * **Speed:** 85% drop in latency. 100K token context goes from 11s to <3s. * **Memory:** Integrated **MemPalace** for permanent, vector-based recall that *doesn't* break the cache. # The Technical Stack * **3-Tier Stacked Caching:** Separate breakpoints for Tool Definitions, System Prompts (`CLAUDE.md`), and Trailing History. * **Privacy:** Built for private subnets. No middleman, no message caps—just your API key and your rules. * **Ethics:** Baked-in Karpathy[`CLAUDE.md`](https://www.google.com/search?q=%5Bhttp://CLAUDE.md%5D(http://CLAUDE.md))guidelines to kill "agent bloat." If you’re tired of paying the **"Context Tax"** just to have an agent that remembers who you are, here you go. It is customized for Discord for my specific needs, but the core logic ensures Galadriel runs like an absolute dream: she never forgets, maintains strict engineering principles, and optimizes every cycle. Your feedback is most welcome! **GitHub (MIT License):**[https://github.com/avasol/galadriel-public](https://github.com/avasol/galadriel-public)
Caliber: Open-Source Proxy for Enforcing LLM Agent Rules
Cross-posting here because this problem affects everyone building with AI agents. Prompt-based guardrails fail. The model follows your system prompt in a demo, then ignores rules when context gets big or the agent chains multiple steps. We built Caliber - an open-source proxy that reads your rules from plain markdown and enforces them at the API layer, not in the prompt. Every call. Provider-agnostic. Just hit 700 GitHub stars ⭐ and nearly 100 forks - the reception from devs building with AI has been amazing. Repo: [https://github.com/caliber-ai-org/ai-setup](https://github.com/caliber-ai-org/ai-setup) Would love: \- Feedback on the approach \- Feature requests from people building AI agents \- Anyone who wants to contribute to the project Building this open-source for the community.
Home Server OS: Open Source AI Infrastructure
Home Server OS: Open Source AI Infrastructure In today's tech savvy world, having a dedicated server in your home is more accessible than ever. Running an open …
Home Assistant Core: Open Source Home Automation
🏡 Open source home automation that puts local control and privacy first.
Open-Source AI Infrastructure for Desktop Control
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).