Show HN: C.O.R.E – Opensource, user owned, shareable memory for Claude, Cursor https://ift.tt/hn326jt

Show HN: C.O.R.E – Opensource, user owned, shareable memory for Claude, Cursor Hi HN, I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video: https://youtu.be/iANZ32dnK60 Repo: https://ift.tt/3S58tw7 What we built - CORE (Context Oriented Relational Engine): An open source, shareable knowledge graph (your memory vault) that lets any LLM (ChatGPT, Cursor, Claude, SOL, etc.) share and query the same persistent context. - Temporal + relational: Every fact gets a full version history (who, when, why), and nothing is wiped out when you change it—just timestamped and retired. - Local-first or hosted: Run it offline in Docker, or use our hosted instance. You choose which memories sync and which stay private. Why this matters - Ask “What’s our roadmap now?” and “What was it last quarter?” — timeline and authorship are always preserved. - Change a preference (e.g. “I no longer use shadcn”) — assistants see both old and new memory, so no more stale facts or embarrassing hallucinations. - Every answer is traceable: hover a fact to see who/when/why it got there. Try it - Hosted free tier (HN launch): https://core.heysol.ai - Docs: https://ift.tt/SyWLlmf https://ift.tt/3S58tw7 July 1, 2025 at 02:40AM

Show HN: Audiopipe – Pipeline for audio diarization, denoising and transcription https://ift.tt/wQkI7Jl

Show HN: Audiopipe – Pipeline for audio diarization, denoising and transcription Audiopipe is a one-liner for denoising, diarization and transcription with demucs + pyannote + insanely-fast-whisper. Made it to transcribe podcasts and Dungeons And Dragons sessions, figured it could be useful. It also has a wasm UI to load transcriptions and audio. Feel free to contribute! Feedback appreciated. https://ift.tt/zt4YUMa July 1, 2025 at 01:02AM

Show HN: We're two coffee nerds who built an AI app to track beans and recipes https://ift.tt/kRhoS4F

Show HN: We're two coffee nerds who built an AI app to track beans and recipes It’s available on iOS now: https://ift.tt/k3Fw2DN We got into specialty coffee during COVID and, like many others, fell deep down the rabbit hole. Along the way, we ran into the same frustrations: - A drawer full of empty coffee bags. - No simple way to track grind size, rest dates, notes—by bean. - My coffee history scattered across photos, screenshots, notebooks, and half-memories. - The unique traits, people, and stories behind each coffee disappearing from the internet once it sold out (since coffee is an agricultural good) - In our opinion, no coffee tool really captures the flavor, emotion, and aesthetic of great coffee—from a design perspective. So we built BeanBook—a coffee notebook log beans, extract recipes, and organize your coffee life in one place with just a snap, powered by AI Here’s what it does: - Snap a bag → Auto-detects roaster, origin, process, roast date, notes, producer, farm, and more - Paste a YouTube link or photo → Extracts a structured recipe automatically - Log grind size, roast timeline, ratings & notes → All saved in a clean, elegant UI - See your coffee year in review → Track habits, trends, and favorites - Ask BeanBook AI → From brew temps to bean facts, get instant answers My co-founder and I built everything ourselves—branding, code, and UX design. If you’re into coffee (or trying to get more into it), we’d love your feedback. - Rokey & Eric https://beanbook.app July 1, 2025 at 12:08AM

Show HN: Attach Gateway – one-command OIDC/DID auth for local LLMs https://ift.tt/YI3x9Gt

Show HN: Attach Gateway – one-command OIDC/DID auth for local LLMs We’ve been building local and on-prem agent workflows for open-source LLMs. Engines like Ollama or vLLM ship with no auth, so every team ends up writing the same JWT proxy. Attach Gateway is a single process that sits in front of any model server and handles the boring bits: - verifies OIDC / DID JWTs - adds X-Attach-User and X-Attach-Session headers so downstream agents share the same identity - optional /a2a/tasks/send endpoint for Google-style A2A hand-offs - mirrors prompts + completions to Weaviate (runs in Docker) One `pip install attach-dev`, export a token, run `attach-gateway`, and your local Ollama is protected in under 60 seconds. Repo: https://ift.tt/kYuNLF8 PyPI: https://ift.tt/EFlSuRC Would love feedback – especially from teams doing multi-agent or on-prem work. https://ift.tt/kYuNLF8 June 30, 2025 at 11:38PM