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Show HN: Sediment – Local semantic memory for AI agents (Rust, single binary)

I've been increasingly relying on AI coding assistants. I recently had my first child, and my coding hours look different now. I prompt between feedings, sketch out ideas while he naps, and pick up where I left off later. AI lets me stay productive in fragmented time. But every session starts from zero.Claude doesn't remember the product roadmap we outlined last week. It doesn't know the design decisions we already made. It forgot the feature spec we iterated on across three sessi

Show HN: Gigacode – Use OpenCode's UI with Claude Code/Codex/Amp

Gigacode is an experimental, just-for-fun project that makes OpenCode's TUI + web + SDK work with Claude Code, Codex, and Amp.It's not a fork of OpenCode. Instead, it implements the OpenCode protocol and just runs `opencode attach` to the server that converts API calls to the underlying agents.We build this to scratch our itch of being able to rapidly switch between coding agents based on the task at hand. For example, we find that:- Claude Code is the best executor & fast iterator

Show HN: The biggest achievement of my life so far

Hello everyone,I have always loved coding and in the couple I was thinking of making an open source project and it turned out to be awesome I hope you guys like it.I present Explore Singapore which I created as an open-source intelligence engine to execute retrieval-augmented generation (RAG) on Singapore's public policy documents and legal statutes and historical archives.The objective required building a domain-specific search engine which enables LLM systems to decrease errors by using g

Show HN: ZTGI Safety Gateway for LLM Safety

I built a small runtime safety layer for LLM outputs called ZTGI Safety Gateway.This is not a new foundation model and not an AGI claim. It is a post-generation control layer that sits between candidate outputs and final response selection.What it does: - Scores each candidate with two risk tracks: - legacy risk (`p_break`) - hybrid risk (`z_next`: instruction breach + sycophancy + divergence signals) - Enforces hard blocks for: - security abuse prompts - contradiction-actionable prompts

Show HN: MCPlexor – MCP multiplexer that cuts agent context usage by 95%

I built MCPlexor to solve a token waste problem I kept running into with MCP-based agents.The Problem: MCP (Model Context Protocol) is great for giving LLMs access to external tools. But if you connect multiple servers (GitHub, Linear, Postgres, Slack), you end up with 40-50k tokens of tool definitions injected into every request – before the agent even does anything.On a 200k context model, that's 25% gone. On smaller models, it's worse. And most runs only use 1-2 tools.The Solution:

Seedance 2.0 preview: The best video model of 2026, outperforming Sora 2

ByteDance quietly shipped Seedance 2.0. The interesting part isn't the usual text-to-video upgrade — it's the reference/conditioning system.What's different from the typical T2V model:Accepts 4 input modalities simultaneously: text, images (up to 9), video clips (up to 3, ≤15s total), and audio (up to 3, ≤15s total). Mixed input cap is 12 files. Reference-driven generation: you can use an image to lock composition/character appearance, a video clip to specify camera move

Show HN: Grok Video 10s – Grok AI video generation and creator contest

I’m the creator of https://grok-video.org, a web platform built for high-quality AI video generation.What’s currently available:Grok Video Integration: Full support for Text-to-Video and Image-to-Video using Grok’s video architecture.Fast Rendering: Optimized for speed to help creators iterate quickly.The Roadmap: The current version is powered by Grok, but I am actively working on supporting additional open-weights models like Wan 2.1 and Tencent Hunyuan in the coming updates to provi

Show HN: Ayder Crash Sandbox – SIGKILL durability proof (per-visitor container)

Hi HN,Most durability demos are “trust me”: a blog post, a benchmark chart, or a unit test.This is a live sandbox that tries to make durability auditable.Every visitor gets:a dedicated Docker container (no shared state with other visitors)a dedicated persistent volume mounted at /dataClick “Run double proof” and it does:Produce N eventsHard-kill the process with a real SIGKILL (docker kill -s KILL)Restart the container (docker start)Consume from offset=0 → should return N (no loss)Commit of

Show HN: Sales Agent Benchmark – SWE-Bench for sales AI agents (open source)

Live leaderboard: https://sales-agent-benchmarks.fly.dev/benchmark GitHub: https://github.com/a1j9o94/sales-agent-benchmarkI built an open-source benchmark for evaluating LLMs as sales agents. The idea came from noticing that every sales AI tool demos well on clean summaries but falls apart on real deal data — and there was no rigorous way to measure that gap.How it worksYou register an API endpoint. We send your agent deal context (anonymized real B2B deals),

Why Every Business Must Engage with AI – and How to Do It Right

Title: Why every business should engage with AI (the real question is how deep)AI is no longer an experimental technology. It’s becoming a baseline capability for modern businesses. The real question most teams should be asking is not “should we use AI?” but “how deeply should we engage with it?”I’ve talked to many founders, CTOs, and operators over the past couple of years. The hesitation around AI usually comes from two places:Teams that haven’t really tried AI and feel comfortable sticking wi

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