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Show HN: Nerve: Stitches all your data sources into one mega-API https://ift.tt/no10wNO

Show HN: Nerve: Stitches all your data sources into one mega-API Hi HN! Nerve is a solo project I've been working on for the last few years. It's a developer tool that stitches together data from multiple sources in real-time. A lot of high-leverage projects (AI or otherwise) involve tying data together from multiple systems of record. This is easy enough when the data is simple and the sources are few, but if you have highly nested data and lots of sources (or you need things like federated pagination and filtering), you have to write a lot of gnarly boilerplate that's brittle and easy to get wrong. One solution is to import all your data into a central warehouse and just pull it from there. This works, but 1) you need a warehouse, 2) you have an extra copy of the data that can get stale or inconsistent, 3) you need to write and manage pipelines/connectors (or outsource them to a vendor), and 4) you're adding an extra point of failure. Nerve lets you write GraphQL-styl...
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Show HN: Claude-engram – Brain-inspired persistent memory, runs inside Claude.ai https://ift.tt/NvbjV2X

Show HN: Claude-engram – Brain-inspired persistent memory, runs inside Claude.ai Claude.ai artifacts can call the Anthropic API and have persistent storage (5MB via window.storage). I used these two capabilities to build a memory system modeled on how human memory actually works — salience scoring, forgetting curves, and sleep consolidation — all running inside a single React artifact with no external dependencies. Just add artifact to your chat and paste instructions into your personal preferences setting. https://ift.tt/0upPFlz February 16, 2026 at 10:45PM
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Show HN: Please hack my C webserver (it's a collaborative whiteboard) https://ift.tt/4sfrwVc

Show HN: Please hack my C webserver (it's a collaborative whiteboard) Source code: https://ift.tt/xB5A6NU https://ced.quest/draw/ February 16, 2026 at 12:27AM
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Show HN: An open-source extension to chat with your bookmarks using local LLMs https://ift.tt/s0gd2Te

Show HN: An open-source extension to chat with your bookmarks using local LLMs I read a lot online and constantly bookmark articles, docs, and resources… then forget why I saved them. Also was very bored on Valentines, so I built a browser extension that lets you chat with your bookmarks directly, using local-first AI (WebLLM running entirely in the browser). The extension downloads and indexes your bookmarked pages, stores them locally, and lets you ask questions. No server, no cloud processing, everything stays on your machine. Very early but it works and planning to add a bunch of stuff. Did I mentioned is open-source, MIT licensed? https://ift.tt/iVm2NgC February 15, 2026 at 10:31PM
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Show HN: PolyMCP – A framework for building and orchestrating MCP agents https://ift.tt/FT8RrsL

Show HN: PolyMCP – A framework for building and orchestrating MCP agents Hi everyone, I’ve been working on PolyMCP, an open-source framework for building and orchestrating agents using the Model Context Protocol (MCP). Most of the tooling around MCP focuses on exposing tools. With PolyMCP, the focus this time is on agents: how to structure them, connect them to multiple MCP servers, and make them reliable in real workflows. PolyMCP provides: • A clean way to define MCP-compatible tool servers in Python or TypeScript • An agent abstraction that can connect to multiple MCP endpoints (stdio, HTTP, etc.) • Built-in orchestration primitives for multi-step tasks • A CLI to scaffold projects and run an inspector UI to debug tools and agent interactions • A modular structure that makes it easier to compose skills and reuse components across projects The main goal is to make agent systems less ad-hoc. Instead of writing glue code around each model + tool combination, PolyMCP gives you a structu...
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Show HN: Azazel – Lightweight eBPF-based malware analysis sandbox using Docker https://ift.tt/dsM3GQn

Show HN: Azazel – Lightweight eBPF-based malware analysis sandbox using Docker Hey HN, I got frustrated with heavy proprietary sandboxes for malware analysis, so I built my own. Azazel is a single static Go binary that attaches 19 eBPF hook points to an isolated Docker container and captures everything a sample does — syscalls, file I/O, network connections, DNS, process trees — as NDJSON. It uses cgroup-based filtering so it only traces the target container, and CO-RE (BTF) so it works across kernel versions without recompilation. It also has built-in heuristics that flag common malware behaviors: exec from /tmp, sensitive file access, ptrace, W+X mmap, kernel module loading, etc. Stack: Go + cilium/ebpf + Docker Compose. Requires Linux 5.8+ with BTF. This is the first release — it's CLI-only for now. A proper dashboard is planned. Contributions welcome, especially around new detection heuristics and additional syscall hooks. https://ift.tt/Ky8VB6Y February 15, 2026 at 12:37AM
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Show HN: I built a concurrent BitTorrent engine in Go to master P2P protocols https://ift.tt/wiR5S1x

Show HN: I built a concurrent BitTorrent engine in Go to master P2P protocols I’ve always used BitTorrent, but I never understood the complexity of peer-to-peer orchestration until I tried to build it from scratch. I wanted to move beyond simple "Hello World" projects and tackle something that involved real-world constraints: network latency, data poisoning, and the "Slow Peer Problem." Key Technical Challenges I Solved: Non-Blocking Concurrency: Used a worker pool where each peer gets its own Goroutine. I implemented a "Stateless Worker" logic where if a peer fails a SHA-1 hash check or drops the connection, the piece is automatically re-queued into a thread-safe channel for other peers to pick up. Request Pipelining: To fight network RTT, I implemented a pipeline depth of 5. The client dispatches multiple 16KB block requests without waiting for the previous one to return, ensuring the bandwidth is fully saturated. The Binary Boundary: Dealing with Big-En...
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