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Show HN

GitHub - flightdeckhq/flightdeck: Observability and control plane for AI agents. CSP Radar GitHub - Light-Heart-Labs/DreamServer: Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. GitHub - Diplomat-ai/diplomat-agent-ts: What can your TypeScript AI agent do to the real world? Scan your code. See which tool calls have zero checks Code Block Selector - Visual Studio Marketplace Prometheus dependency graph — interactive showcase | Riftmap Show HN: I made a vi-like modal keyboard plugin for Figma GitHub - run-llama/liteparse: A fast, helpful, and open-source document parser GitHub - dalemyers/Roar: A macOS CLI tool for notifications GitHub - district-solutions/open-agent-tools-coder: Enables small-to-large self-hosted ai models to use local source code when running tool-calling agentic workloads. We actively data mine 20,900+ (2+ TB) popular github repos using large and small ai models to create reuseable: json, markdown and parquet files for local-first tool-calling models. GitHub - progapandist/stripeek: A local TUI proxy for real-time Stripe API debugging, built for navigating complex payloads fast. GitHub - sir1st/hermes-desktop: All-in-one cross-platform desktop app for Hermes Agent — bundles Python + hermes-agent + hermes-web-ui GitHub - astefanutti/shaderbang: Shebang for Shaders Show HN: Generate Claude Code Workflows using Spec Driven Development approach GitHub - nixys/nxs-universal-chart: The Helm chart you can use to install any of your applications into Kubernetes/OpenShift Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code. GitHub - tamerh/enju: Coordinating Humans, AI Agents, and Compute as Peers on a Shared Workflow Graph Show HN: Continuity-auth – Respect-weighted rate limits for the open web GitHub - luml-ai/luml: AI lifecycle platform where engineers and agents track experiments, train models, and ship to production. GitHub - mrdanielcasper/CoreTex: A UNIX-inspired, biomimetic, flat-file AI harness and knowledge engine. GitHub - clemg/pierre-github: Pierre's diffs.com and trees.software for Github GitHub - lyriks-io/unspaghettit: Behavior-driven AI development without prompt spaghetti. GitHub - sofumel/claude-handoff-revive: Resume Claude Code work after rate/usage/context limits without replaying the prior transcript. Auto-saves at 90%/95% usage. Plugin-installable, 10 languages. GitHub - dotexorg/saferpc: Typed, end-to-end encrypted RPC over any bidirectional channel. GitHub - BeeZeeAgent/beezee: Agent harness orchestration Legato Next.js Boilerplate for Internal Tools · CoreUI GitHub - clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings GitHub - ZeroPointRepo/youtube-mcp: The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. Typing Mastery — climb toward 100+ WPM, deliberately GitHub - Andebugulin/Awareen GitHub - fayzan123/claude-workflow-composer: Visual desktop app for composing multi-agent coding workflows. Drag agents, attach skills and MCPs, wire handoffs, export to .claude/ GitHub - harshaneel/humanize: Best static AI text humanizer. Two research-grounded skills that work in any LLM (Claude, ChatGPT, Gemini, Codex): humanize beats perplexity-based detectors, ai-check produces forensic scoring with evidence-quoted flags. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature. GitHub - StackOneHQ/stack-nudge GitHub - nodes-app/swift-markdown-engine: A native AppKit Markdown editor for macOS, built on TextKit 2 and bridged to SwiftUI. We hardened an LLM agent. Each defense we added made it more exploitable. GitHub - alkait/WhatsKept: Agent-queryable WhatsApp history from an iOS backup — a single Go binary. GitHub - octelium/cordium: Open-source, general-purpose sandbox platform for devs and AI agents that provides identity-based secure access to infrastructure without credentials. WAR.GOV/UFO Microfilm5 GitHub - scosman/videowright: Build animated explainer videos with your coding agent GitHub - dipankar/dscode: The code editor you can take apart. GitHub - zoharbabin/web-researcher-mcp: MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. GitHub - ruvnet/RuView: π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. GitHub - scanaislop/aislop: Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 7 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed. GitHub - kouhxp/cheap-im: CPU-only voice agent approximating Thinking Machines' Interaction Models demo GitHub - unprovable/OrchidMantis: Orchid Mantis — standalone framework for Zero-Knowledge Proofs of eXploit (ZKPoX). GitHub - MarcellM01/TinySearch: Shrink the web for your local LLMs! GitHub - pileax-ai/pileax: PileaX is an all-in-one AI knowledge base system. 🍀 GitHub - TangibleResearch/Halgorithem: A Algo designed to detect AI Hallucitions GitHub - DO-SAY-GO/freelang: I love freelang GitHub - CarpseDeam/Aura-IDE: An AI coding harness that shaped itself - Planner/Worker agents, repo awareness, surgical edits, validation, recovery, and safe diff approvals. GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - tommyjepsen/awesome-ux-skills: UX & AI Product designs skills you can use today in Claude Code GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - kklimuk/docx-cli: CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - matisiekpl/neond: DX-focused control plane for Postgres dedicated to non-critical workloads. Your postgres:latest replacement 🐘 GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks GitHub - Bajusz15/beacon: Open-source agent for secure remote access, monitoring, and deploys across home-lab and self-hosted machines like Raspberry Pi, N100, or any Linux server. Open web based TTY or tunnel Home Assistant and other local services securely without opening ports. BigTech AI News - Chrome 应用商店 GitHub - vinhnx/VTCode: VT Code is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management. GitHub - michaelaz774/decision-engine: A decision operating system for startup founders, powered by Claude Code. Synthesizes wisdom from 25+ legendary founders and investors into interactive AI-driven decision frameworks. GitHub - Chrilleweb/dotenv-diff: Validate environment variable usage in your codebase GitHub - Lumen-Labs/brainapi2: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications. GitHub - familiar-software/familiar: Let AI watch you work. Familiar lets your AI update its memory, skills, and knowledge by watching your screen. GitHub - skorotkiewicz/rudo: A small, elegant dock for Wayland GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. make sidebar/address bar rounded corner toggleable
GitHub - Karthick-Ramachandran/persist-os: 🧠 Local-first CLI that gives your repo durable, AI-ready memory — features, ADRs, modules, architecture, standards & tests — and a 🩺 deterministic doctor that validates health, evidence & drift. Git tracks what changed; Persist OS tracks why.
karthickrmch · 2026-06-24 · via Show HN

Durable, AI-ready engineering memory for your repository — and a deterministic doctor that proves it stays healthy.

License: MIT Node Local-first Telemetry Network

Persist OS is a local-first CLI that turns a repository into the source of truth for why it is built the way it is. It creates structured, reviewable memory — product intent, architecture decisions, module ownership, testing and security expectations, AI agent rules — and then validates that memory with persist doctor. Architecture-neutral. No network, no telemetry, no code generation.

Website · Install · Quickstart · Commands · What Doctor Checks · Presets · Why I built this · Contributing

Persist OS — guided memory creation, ADR acceptance, and the doctor gate


AI can write code fast, but its context is temporary — it forgets decisions, compacts conversations, and drifts from earlier intent. Git records what changed. Persist OS records why, in a form humans and agents can re-read and validate before and after work.

What are we building?   Why did we decide this?
What must not drift?    What evidence proves this work is complete?

When these questions live in the repository instead of a chat window, the repository can answer them.

Not a vector memory engine. Tools like supermemory or mem0 retrieve information with embeddings; Persist OS writes the decisions themselves — reviewable files, not vectors — and checks they stay consistent. They're complementary, not competitors. → Why I built this

Why Persist OS

  • Memory that outlives the conversation. Decisions, constraints, and ownership are committed to the repo, not trapped in an agent's context window.
  • A gate, not just docs. persist doctor is deterministic and returns an exit code, so "is this work actually finished and consistent?" becomes a check you can run in a hook or CI.
  • Decisions change safely. When a decision changes, persist adr supersede records it (the old ADR is marked superseded, the new one links back) and Doctor flags any memory still citing the old one — so the trail stays auditable instead of silently contradicted. The generated agent rules even carry the CLI commands inline, so your AI tool uses them itself.
  • Fights context rot. Doctor warns when the always-loaded memory bloats into a wall of text, or when it still points at src/ code that changed long after the memory did — so memory stays a lean, current map, not a stale dump.
  • Reuse over reinvent. Generated CONVENTIONS.md (your canonical, reusable vocabulary) and LESSONS.md (durable pitfalls) load into every agent session, and the agent is told to keep them current itself — so it reuses your components and patterns instead of reinventing them, and stops repeating mistakes you already solved. It works even on vibe-coded projects, because the agent maintains the memory, not you.
  • Architecture-neutral by design. Persist OS records and protects your decisions. It never silently picks a framework, database, or pattern for you.
  • Local-first and private. No network calls, no telemetry, no AI API calls, no remote templates. It runs entirely on your machine.
  • Safe by default. Non-destructive writes, path-traversal and symlink protection, and a refusal to overwrite an existing installation without explicit intent.

Install

Run it without installing — the quickest way to try it:

npx persist-os@latest init

Every command works the same way: npx persist-os <command> (e.g. npx persist-os doctor).

Or install the CLI globally:

npm install -g persist-os
persist --help

(Requires Node.js >= 20. Published at npmjs.com/package/persist-os.)

Quickstart

# 1. Create repository memory (architecture-neutral, or pick an opinion pack)
persist init
persist init --preset kotlin-android   # optional, proposes stack decisions

# 2. Capture intent and decisions as you work
persist feature create checkout
persist adr create payment-provider
persist adr accept payment-provider    # promote a proposal to accepted memory

# 3. Bring an MCP server's context into durable memory (offline)
persist mcp add figma

# 4. Validate the memory is healthy and complete
persist doctor

Every command guides you — it names the file it created, where it is, and what to do next.

Generate files only for the AI tools you use: persist init --ai-tools claude,cursor (default: all of claude, codex, cursor; AGENTS.md is always written).

persist init also generates tracked pre-commit and pre-push hooks in .persist/hooks/ that run persist doctor plus any gates you configure. The pre-push hook is the final regression gate before code leaves your machine (it catches commits made with --no-verify or before the hook was active). Enable them once per clone — Persist OS proposes the command but never runs it for you:

git config core.hooksPath .persist/hooks

Commands

Command Purpose
persist init Create neutral repository memory (and a pre-commit hook).
persist init --preset <id> Add an opinion pack: rich guidance and proposed ADRs.
persist init --ai-tools <list> Generate files only for the AI tools you use (claude, codex, cursor, generic).
persist adopt Inspect an existing repo and propose reviewable memory.
persist preset list List built-in presets.
persist feature create <name> Scaffold feature memory (PRD, acceptance, tests, review).
persist adr create <title> Create a proposed architecture decision record.
persist adr accept <name> Promote a proposed ADR to accepted source-of-truth.
persist adr supersede <old> <new> Record a changed decision: mark the old ADR superseded by a new accepted ADR.
persist module create <name> Scaffold module memory (ownership, boundaries, tests).
persist skill create <name> Generate a portable AI agent skill (Claude + Agent Skills).
persist skill list List the built-in agent skill catalog.
persist mcp add <server> Generate offline, proposed memory for an MCP server.
persist doctor Validate memory health, evidence, and drift.
persist guard --source <dirs> Fail when staged source changed without tests (add to your gates to enforce).

What Doctor Checks

persist doctor is the part that makes Persist OS more than a template. Every check is deterministic, local, and read-only.

Category Detects Severity
Structure Missing config, required docs, or feature / module / ADR sections error
Completion evidence A feature marked complete with review pending or no test / result evidence error
ADR quality An accepted ADR with no meaningful consequences error / warn
Security A security-sensitive feature with no documented security impact error / warn
Drift Memory that references a missing, or not-yet-accepted, ADR error / warn
Superseded Memory still citing a decision that has been superseded by a newer ADR warning
Staleness Memory citing src/ code that changed long after the memory did (git-based; off-git skips) warning
Context budget The always-loaded agent files (CLAUDE.md + AGENTS.md + Cursor rule) grown past a budget warning
Content A feature PRD, module, or (once work exists) the threat / security model left as a stub warning
Conventions The canonical-vocabulary doc left as a stub once the repository has real work warning
Exit codes:  0 = healthy   1 = warnings only   2 = errors

Because it returns an exit code, Doctor drops straight into the completion loop:

pnpm test:run && pnpm typecheck && persist doctor

Use it locally via the generated pre-commit hook, or add persist doctor as a step in CI.

Presets

Presets are opinion packs. They ship proposed guidance and proposed ADRs for a stack's real decision forks — and they can never silently accept a choice for you (the schema enforces Proposed status on every preset decision).

Preset Stack Proposes (always as proposed ADRs)
laravel-react Laravel + React Laravel, Inertia + React, Eloquent, Sanctum, Form Requests + Policies, queues, Pest
laravel-vue Laravel + Vue Laravel, Inertia + Vue, Eloquent, Sanctum, Form Requests + Policies, queues, Pest
laravel-api Laravel (API) Laravel, versioned REST + API Resources, Eloquent, Sanctum, queues, Pest
kotlin-android Kotlin / Android Compose, Coroutines + Flow, Hilt, Room, MVVM
python-fastapi Python / FastAPI FastAPI, PostgreSQL + SQLAlchemy, Pydantic, pytest, Redis
ios-swift iOS / Swift SwiftUI, async/await + Observation, SwiftData, MVVM
nextjs Next.js / TS App Router, typed data layer, Tailwind, Vitest + Playwright
flutter Flutter Platform and state-management guidance
generic none Architecture-neutral memory

Adding a preset is a small contribution — see CONTRIBUTING.md.

How It Works

How Persist OS works: you capture intent, decisions, ownership, standards, and security with persist init / feature / adr / module; it writes durable, reviewable memory under docs/ and .persist/config.json that humans review in pull requests and agents re-read every session; persist doctor validates it deterministically, returning exit code 0, 1, or 2 for a pre-commit hook or CI gate.

How agents load the memory

Writing memory only helps if the agent reads it, so persist init wires each tool with its own native mechanism:

Tool How memory loads
Claude Code CLAUDE.md (auto) imports AGENTS.md; a SessionStart hook injects a live map of accepted ADRs and modules every session.
Cursor .cursor/rules/persist-memory.mdc is an always-apply rule that loads the memory rules into every request.
Codex AGENTS.md is auto-discovered and loaded.

The portable guarantee across every tool is AGENTS.md plus the generated Agent Skills (.agents/skills/). The dynamic per-session ADR/module map is a Claude Code bonus; the Cursor rule and AGENTS.md carry the same rules everywhere else.

AGENTS.md leads with a short, imperative Rules block (read memory first, reuse the conventions, record lessons, don't contradict accepted ADRs, run persist doctor before "done") — and instructs the agent to keep CONVENTIONS.md and LESSONS.md current itself, so that memory stays useful without anyone hand-writing it. The human just reviews the agent's edits in the pull request.

Repository Memory

Persist OS creates a memory structure under docs/ and .persist/config.json, with an explicit source-of-truth order:

1. Accepted ADRs and repository decisions     6. Module docs
2. Architecture docs                          7. Feature plans
3. Engineering standards                      8. Task files
4. Current PRD and accepted changes           9. External context
5. Security and testing docs                 10. Chat history

If external context or chat history conflicts with repository memory, repository memory wins.

Local-First Guarantees

Persist OS does not:

  • make network calls at runtime;
  • collect telemetry;
  • connect to MCP servers or call AI APIs;
  • generate production application code;
  • install dependencies into your repository;
  • overwrite existing files by default.

Examples

Committed sample outputs show the exact memory each preset generates:

examples/generated-generic/         examples/generated-kotlin-android/
examples/generated-nextjs/          examples/generated-python-fastapi/
examples/generated-ios-swift/       examples/generated-flutter/
examples/generated-laravel-react/   examples/generated-laravel-vue/
examples/generated-laravel-api/

Development

pnpm install
pnpm lint
pnpm format:check
pnpm test:run
pnpm typecheck
pnpm build
pnpm pack:check

Run the gates above and persist doctor before claiming work is complete. See CONTRIBUTING.md for the full workflow and how to add a preset, and SECURITY.md for the security model.

Acknowledgments

The landing page is deployed with Pagecast — thank you.

License

MIT — see LICENSE.