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量子位

Show HN

GitHub - steveking-gh/firmion: Firmion is DSL and engine for firmware image generation. GitHub - villagesql/villagesql-skills: Agent skills for VillageSQL - gemini-cli-extension; claude-code-plugin 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 - 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 - 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 - thomscoder/zero-1: Your data should look as real as the idea
thomscoder · 2026-06-15 · via Show HN

Give your app exactly the data it needs — before your backend exists.

Describe whatever endpoint your app in natural language, drop in an OpenAPI spec — Zero-1 spins up live REST endpoints with realistic seeded data, full CRUD, and FK relationships. Tracks denormalized copies, propagates schema changes across existing data, and warns before a change would break a reference. Pair it with Claude Code to become an execution layer — all AI reasoning happens in your session, Zero-1 handles data, routing, and state locally. Export the schema when you're ready for your agent to build a working backend.

❯ I'm building a marketplace, I need sellers, products under /sellers/:id/products,
  and reviews under /products/:id/reviews. seed it heavy,
  like 5000 products and 10k reviews. gate writes with Bearer auth.

3 resources · 15100 records

· sellers    100   records
· products   5000  records  path: /sellers/:sellerId/products
· reviews    10000 records  path: /products/:productId/reviews

↳ products.sellerId  → sellers.id
↳ reviews.productId  → products.id

header guard: POST|PUT|PATCH|DELETE * — Authorization: Bearer required
z1-demo.mp4

Install

From source:

git clone https://github.com/thomscoder/zero-1 && cd zero-1

ANTHROPIC_API_KEY=sk-ant-... bun run cli.ts
# → http://localhost:7777  +  z1 › REPL

Or install the CLI:

curl -fsSL https://raw.githubusercontent.com/thomscoder/zero-1/main/scripts/install.sh | sh

Three modes

1. Standalone

Run Zero-1 as an HTTP server. Describe scenarios in the REPL or via API. One AI call per intent — schema parsing only. All data generation, CRUD, filtering, and graph tracking run locally with zero API calls.

z1                    # start + REPL
z1 --model gpt-4o     # use a specific model
ANTHROPIC_API_KEY=sk-ant-... bun run cli.ts

2. Claude Code native — z1 launch claude

Zero-1's primary mode. Claude Code IS the AI. Zero-1 executes.

z1 launch claude
z1 launch claude --model claude-opus-4-6

Starts the Zero-1 server and spawns Claude Code with the MCP pre-wired. Claude Code handles all reasoning and schema decisions. Zero-1 receives structured plans and executes them locally — zero redundant AI calls. Every token in your Claude Code session does actual work.

image

3. Scaffold export

Export your Zero-1 schema as a working production backend.

z1 export --scaffold hono --out ./my-app   # generate from .z1/state.json
z1 patch hono                              # sync changes (last-write-wins)

Or from the REPL:

z1 › .export --scaffold hono
z1 › .patch hono

Generates a complete Hono project: typed routes, in-memory data seeded with real records, TypeScript interfaces, and a /sync slash command for Claude Code. When your real backend is ready, the scaffold is the spec.


Features

Provider presets

Load a real provider's API shape instantly — no spec hunting, no key required:

# List available presets
GET /__generate/import/preset

# Load Stripe (customers, products, prices, payment intents, subscriptions at /v1/* paths)
POST /__generate/import/preset
{ "provider": "stripe" }

# Load GitHub (users, repos, issues at /api/v3/* paths + OAuth pre-configured)
POST /__generate/import/preset
{ "provider": "github" }

Available: github · google · stripe · linkedin · shopify

Each preset loads the correct real-world endpoint paths, realistic field shapes, and a pre-configured OAuth flow for that provider.

OpenAPI import

Point Zero-1 at any OpenAPI 3.x or Swagger 2.0 spec — URL or raw JSON:

POST /__generate/import/openapi
{ "url": "https://petstore3.swagger.io/api/v3/openapi.json" }
# or
{ "spec": { ...raw spec object... } }

Handles $ref resolution (recursive), allOf merges, oneOf/anyOf variants, and any path depth. Data is generated locally from the schema — no AI call.

REST

One description (or import) registers all resources with full CRUD — GET, POST, PUT, PATCH, DELETE. IDs are auto-incremented. FK references are always valid (data generated in dependency order).

Filter, search, sort — all query params, stackable:

GET /posts?role=admin&q=launch&sort=likes:desc&limit=10

Custom path patterns

Resources can live at any URL shape:

/api/v1/users
/payments/:paymentId/invoices
/orgs/:orgId/teams/:teamId/members

Named segments (:param) become FK equality filters on GET collection and are auto-populated on POST. The item ID is always the trailing segment: GET /payments/42/invoices/7.

Reactive triggers

"...when an order is created, subtract quantity from product stock. when stock hits 0, flip status to out_of_stock."

Describe side-effect logic inline. Supported operations: increment/decrement a field, set a value. Triggers fire synchronously on every matching mutation.

Schema evolution

"...add a views counter, rename likes to reactions, drop published. require X-API-Key on write requests."

Zero-1 sends only the schema to the AI (never the records), applies the diff, and backfills existing data locally. Added fields get context-aware generated values. Renamed fields preserve their values.

Pagination

"...cursor-based, 20 per page, use after as cursor param, edges for data array"

Configure the envelope your real API will produce. Zero-1 matches it. Supports page, offset, and cursor styles with customisable param names and response shapes.

Auth guards & response headers

"...require X-API-Key on all write requests to posts. inject X-Request-Id into every response."

Per-resource request guards and response header injection. Your frontend gets real 401s and real rejection bodies — no auth server needed.

OAuth 2.0 / OIDC

"...authorization code flow with PKCE. scopes: read, write, admin. JWT tokens, 1 hour expiry."

Full mock OAuth 2.0 / OIDC provider. Registers authorization, token, revoke, introspect, userinfo, and discovery endpoints. Per-client scope enforcement. Token signing via Web Crypto API (HS256) — no JWT library.

Chaos mode

"...30% error rate on POST /orders and 500ms–2s latency on all requests"

{ "resource": "orders", "method": "POST", "errorRate": 0.3, "errorCode": 503 }
{ "resource": "*", "method": "*", "latency": { "min": 200, "max": 800 } }
{ "resource": "users", "rateLimit": { "requests": 10, "windowSeconds": 60 } }

Knowledge graph

Zero-1 maintains a live graph of every resource — FK edges, denormalized copies, observed field types.

Write-through propagation — every PATCH/PUT walks the provenance graph and updates denormalized copies automatically.

Impact analysis — before applying a schema change, ask what breaks:

"What breaks if I switch the plan id to a string slug?"

Returns which FK references would stop resolving and which denormalized copies would go stale. Via MCP this is part of the natural workflow; via the API it's POST /__generate/graph/analyze.

2FA / OTP

Add two-factor authentication to any resource inline:

"...users with 2FA on login. OTP expires in 5 minutes."

Zero-1 registers POST /users/login and POST /users/verify endpoints. OTP codes are cryptographically random, 6-digit, single-use. Inspect pending codes at GET /__generate/2fa/pending.

JWT-based data scoping

"...each user should only see their own posts"

Per-resource per-user data isolation using JWT claims. Collection GETs filter automatically, item GETs return 403 for wrong owner, POSTs auto-set the owner field from the token.


MCP server

Zero-1 exposes its full surface as MCP tools for Claude Code and other AI agents.

Manual setup (if not using z1 launch claude):

// .claude/mcp.json
{
  "mcpServers": {
    "zero-1": {
      "command": "bun",
      "args": ["run", "/path/to/zero-1/mcp.ts", "--url", "http://localhost:7777"]
    }
  }
}

Tools include: create_scenario, evolve_schema, get_schema, list_resources, inspect_graph, analyze_impact, configure_headers, configure_oauth, configure_pagination, add_chaos, snapshot, reset, export_openapi, get_2fa_codes, and more.

Zero-waste architecture: every tool that normally triggers an AI call accepts a structured bypass. When called from Claude Code, Zero-1 skips its own AI calls entirely — Claude Code produces the plan, Zero-1 executes it. One AI session. No overhead.


AI providers

Zero-1 is bring-your-own-key. One AI call per intent — schema parsing only. Everything else is local.

# Anthropic (default)
ANTHROPIC_API_KEY=sk-ant-... bun run cli.ts

# OpenAI or any compatible endpoint
AI_PROVIDER=openai OPENAI_API_KEY=sk-... bun run cli.ts

# Ollama (local, no key needed)
AI_PROVIDER=ollama bun run cli.ts

Configuration

Variable Default Description
AI_PROVIDER anthropic anthropic, openai, or ollama
AI_MODEL provider default Override the model (e.g. gpt-4o, llama3.2, claude-opus-4-6)
ANTHROPIC_API_KEY required for anthropic Your Anthropic key
OPENAI_API_KEY required for openai Your OpenAI key
OPENAI_BASE_URL https://api.openai.com/v1 Base URL for OpenAI-compatible APIs
OLLAMA_BASE_URL http://localhost:11434 Base URL for Ollama
API_KEY Protect /__generate/* meta endpoints with Bearer auth. CRUD routes unaffected.
PORT 7777 HTTP port

CLI flags:

z1 [--key sk-ant-...] [--port 7777] [--model claude-opus-4-6] [--web] ["inline prompt"]
z1 launch claude [--port 7777] [--model claude-opus-4-6]

API reference

Resource management

Method Path Description
POST /__generate/scenario Create resources from a description or structured plan
GET /__generate/resources List all resources with schemas and record counts
DELETE /__generate/resources Delete all resources
DELETE /__generate/resources/:name Delete a specific resource
GET /__generate/schema/:name Raw ParsedField[] schema for a resource
POST /__generate/evolve Evolve a resource's schema
POST /__generate/pagination Configure pagination for a resource
POST /__generate/snapshot Save a snapshot
POST /__generate/reset Restore from last snapshot

Dynamic CRUD (per resource)

Method Path Notes
GET /:name ?field=val, ?q=term, ?sort=field:asc, ?explain=true
POST /:name ID auto-assigned
GET /:name/:id
PUT /:name/:id Full replace
PATCH /:name/:id Partial update
DELETE /:name/:id Returns 204

Custom paths (e.g. /payments/:paymentId/invoices) work identically — named segments filter by FK equality.

OAuth 2.0

Method Path Description
POST /__generate/oauth/configure Configure from description or structured OAuthConfig
GET /__generate/oauth/status Config + token stats
GET /__generate/oauth/authorize Authorization endpoint (auto-approves, 302 redirect)
POST /__generate/oauth/token Token endpoint (auth_code, client_credentials, refresh)
POST /__generate/oauth/revoke RFC 7009 revocation
POST /__generate/oauth/introspect Token introspection
GET /__generate/oauth/userinfo OIDC userinfo (Bearer token required)
GET /__generate/oauth/.well-known/openid-configuration OIDC discovery
GET /__generate/oauth/.well-known/jwks.json JWKS

Knowledge graph

Method Path Description
GET /__generate/graph Full graph dump (resources, FK edges, provenance edges)
POST /__generate/graph/analyze { resource, fields, typeChange? } → impact report

Infrastructure

Method Path Description
POST/GET/DELETE /__generate/chaos Add / list / clear chaos rules
DELETE /__generate/chaos/:id Remove a specific rule
GET/DELETE /__generate/triggers List / clear triggers
DELETE /__generate/triggers/:id Remove a specific trigger
POST /__generate/headers/configure Configure header guards
GET/DELETE /__generate/headers List / clear header rules
DELETE /__generate/headers/:id Remove a specific rule
POST/GET/DELETE /__generate/scoping Add / list / clear JWT scoping rules
GET /__generate/2fa/pending Inspect pending OTP codes
DELETE /__generate/2fa Clear all OTP codes
GET /__generate/log Request log (newest first, max 500)
DELETE /__generate/log Clear log
GET /__generate/export Export global state as JSON
POST /__generate/import Restore global state from JSON
GET /__generate/openapi Export as OpenAPI 3.0.3
POST /__generate/import/openapi Import from OpenAPI/Swagger spec (URL or raw JSON)
GET /__generate/import/preset List available provider presets
POST /__generate/import/preset Load a provider preset ({ "provider": "github" })

Web console

http://localhost:7777/__generate — create scenarios, browse and edit records, test OAuth flows, manage chaos rules, view the live request log, export/import state.


Tests


Requirements

  • Bun runtime
  • An AI provider key (ANTHROPIC_API_KEY, OPENAI_API_KEY, or Ollama running locally)
  • For z1 launch claude: Claude Code installed