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Updated: 16 min 8 sec ago

Show HN: Fera-Search – Privacy-First AI Meta Search Engine

Thu, 02/19/2026 - 7:59am

Hi HN,

I built Fera-Search as a privacy-focused meta search engine with AI summaries.

The goal was to combine: - Multiple upstream search engines - Minimal tracking - Fast response times - AI summaries that run separately so results stay instant

Architecture: - Frontend on GitHub Pages - FastAPI proxy on Hugging Face - SearX upstream engines - Sarvam for structured AI summarization

Search results return immediately, and AI runs in the background so the UI never blocks.

This is an early version and I’d really appreciate feedback on: - UX improvements - Performance - Privacy model - Feature ideas

Thanks for taking a look.

Comments URL: https://news.ycombinator.com/item?id=47073273

Points: 1

# Comments: 0

Categories: Hacker News

Show HN: Agent Memory DB – Episodic memory for agents (97.5% vs. 85% recall)

Thu, 02/19/2026 - 7:57am

Most LLM apps only keep the last N tokens after a context window is exceeded, so when the user said the important thing 50 turns ago, it's gone and the model can't answer.

This repo adds episodic memory to store experiences as vectors and retrieve by similarity when answering. This focuses on relevance rather than temporal proximity.

On 40 preference/recall tasks we see 97.5% success vs 85% for truncated history. On long tasks where the key info is at the start it is 88.9% vs 33.3%.

It has a Rust core, Python/Node/Go bindings, along with LangChain and LangGraph integrations. Fully open source.

Comments URL: https://news.ycombinator.com/item?id=47073255

Points: 2

# Comments: 0

Categories: Hacker News

Rust on CHERIoT

Thu, 02/19/2026 - 7:56am
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Fairstream

Thu, 02/19/2026 - 7:48am
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Managing Agent Skills with Your Package Manager

Thu, 02/19/2026 - 7:47am

Article URL: https://pavel.pink/blog/pixi-skills/

Comments URL: https://news.ycombinator.com/item?id=47073193

Points: 6

# Comments: 0

Categories: Hacker News

Give Up GitHub

Thu, 02/19/2026 - 7:47am
Categories: Hacker News

Show HN: Unix-style pipeline composition for MCP tool calls

Thu, 02/19/2026 - 7:46am

This is a little side-project I have been working on at my job.

Model Context Shell lets AI agents compose MCP tool calls using something similar to Unix shell scripting. Instead of the agent making each tool call individually (loading all intermediate data into context), it can express a workflow as a pipeline that executes server-side.

Since the orchestration is deterministic and reproducible, you can also use it with Skills.

Tool orchestration runs outside the agent and LLM context, so the agent can extract only the relevant parts of data and load those into context. This means you can save tokens, but also you can work with data that is too big to load into context, and your agent can trigger a very large number of tool calls if needed.

Also, this is not just a tool that runs bash - it has its own execution engine. So no need for full system access.

Example query: "List all Pokemon over 50 kg that have the chlorophyll ability"

Instead of 7+ separate tool calls loading all Pokemon data into context, the agent builds a single pipeline that:

1. Fetches the ability data 2. Extracts Pokemon URLs 3. Fetched each Pokemon's details (7 tool calls) 4. Filters by weight and formats the results

At least in it's current iteration, it's packaged as an MCP server itself. So you can use it with any agent. I made this, and some other design choices, so you can try it right away.

Comments URL: https://news.ycombinator.com/item?id=47073185

Points: 3

# Comments: 0

Categories: Hacker News

Show HN: LatentScore – Type a mood, get procedural/ambient music (open source)

Thu, 02/19/2026 - 7:06am

Hey HN,

I've used Generative.fm for years and love it, but I always wanted to just describe what I was in the mood for instead of scrolling through presets. So I built this.

You type a text description of anything - from "mountain sunrise" to "neon city" - and it generates a procedural/ambient stream matching that mood. It runs locally, no account, no tracking, no ads.

Under the hood it's a custom synthesizer driven by sentence embeddings, not a generative AI model (although you can choose to use one!) — so there's no GPU, no API calls, and it starts playing almost instantly. The whole thing is open source: https://github.com/prabal-rje/latentscore

If you're a developer and want to use it programmatically it's also a Python library - pip install latentscore — one line to render audio. But honestly I just use the web player myself when I'm working.

Fair warning: it's still alpha and the synth has limits, so please don't expect full songs or vocals. It's ambient/procedural only. But for focus music or background atmosphere, I think it's pretty good.

Would love to know what vibes you try and whether they land!

- Prabal

Comments URL: https://news.ycombinator.com/item?id=47072930

Points: 1

# Comments: 0

Categories: Hacker News

Show HN: KGBaby – A WebRTC based audio baby monitor I built on pat leave

Thu, 02/19/2026 - 7:04am

Baby monitors are a great boon. We use the audio-only Motorola AM21, which is excellent. But being on pat leave with a 2-month-old right now, I decided to build a browser-based alternative using WebRTC and some AI coding agents (Codex & Gemini).

It is an open-source, zero-latency P2P monitor. Hardware reuse: You can repurpose an old phone or tablet to be the child unit instead of buying single-purpose hardware. Actually private: Unlike using a never-ending Google Meet or Zoom, your stream stays private via WebRTC (PeerJS for signaling). No cloud routing. The backgrounding hack: Mobile Safari aggressively kills background audio. I used a hidden 1x1 base64 looping video to keep the microphone active when the screen dims.

Links: Live Demo: https://legodud3.github.io/kgbaby/ Repo: https://github.com/legodud3/kgbaby

Welcome all feedback!

Comments URL: https://news.ycombinator.com/item?id=47072918

Points: 1

# Comments: 0

Categories: Hacker News

Show HN: StatusMonk – Uptime monitoring and status pages for small SaaS teams

Thu, 02/19/2026 - 7:03am

Hi HN,

We built StatusMonk after repeatedly finding out about outages from customers instead of our systems.

StatusMonk is an all-in-one monitoring and public status page platform designed for founders and small teams who want early detection and clear communication without enterprise complexity.

What it does today:

- Monitor websites, APIs, and cron jobs

- Domain, SSL certificate, and DNS monitoring

- Alerts via email, Slack, or webhooks

- Automatic incident creation and recovery notifications

- Public status pages with uptime history and incidents

The goal is simple: detect problems early, alert the right people fast, and keep users informed from one place.

We are still early and actively iterating based on feedback.

Would love thoughts, criticism, or feature requests.

Comments URL: https://news.ycombinator.com/item?id=47072913

Points: 1

# Comments: 0

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