GitHub - InnerAura/hyperweave: Portable visual output layer for agents. One API call, one SVG. Zero dependencies, renders in any markdown.

Portable visual output layer for agents.
One API call, one SVG. No JavaScript. Works everywhere.

The Problem

When an agent needs to produce something visual, it generates React, HTML, or pixels: a status card, a dashboard, a receipt of its work, locked in the environment that made it. Embed it in markdown or pass it to another agent and it breaks or loses context. There's no portable visual primitive for agents.

HyperWeave is that primitive. One API call returns a self-contained SVG with data binding, branding, and machine-readable metadata baked in. No JavaScript, no dependencies, no runtime. It renders in GitHub READMEs, Slack, Notion, docs, your site, email, VS Code, or terminal. Every surface that renders an <img> tag is a HyperWeave surface.

View as table

FORMAT	Portability	Agent-Readable Metadata	Visual Fidelity	Token Efficiency	Zero Dependencies	SCORE
SVG	✓	✓	✓	~	✓	4.5
MARKDOWN	~	~	✗	✓	✓	3
HTML	✗	✓	✓	✗	~	2.5

Agentic Artifacts

Every AI coding session produces a receipt: cost, tokens, tool distribution, session rhythm. One install, fully automatic.

hyperweave install-hook

_{262M tokens · 562 calls · 52 stages · $175 · voltage}

_{Rhythm strip · the same session data at 92px tall}

_{Same data, different livery · claude-code}

_{Codex transcripts auto-detect from the JSONL shape}

The livery matches the agent that produced the session:

Agent	Livery
Claude Code	`claude-code`
Codex	`codex`
—	`voltage`
—	`cream`

Auto-detected from the session transcript. Pin a different default with hyperweave install-hook --genome voltage.

Matrices - Generative Tables

HyperWeave matrices are structured tables rendered as portable SVGs. A single JSON description can produce comparison grids, registries, tiers, benchmark tables, numeric heatmaps, chips, glyphs, bars, and status maps, while carrying a machine-readable payload for agents.

_{One frame, every table · generated, not drawn}

View as table

READER		PIXELS	MOTION	READS VIA
GitHub README	github	✓	Yes	camo, css animation
VS Code preview	vscode	✓	Yes	markdown preview
Slack unfurl	slack	~	—	image proxy
Gmail body	gmail	~	—	img tag
Agent	mcp	✗	—	hw:payload, hwz/1, markdown twin

Inside that SVG, alongside the pixels — two tiers, two jobs:

recreate & modify — the complete table IR

<hw:payload schema="matrix/1" media-type="application/json">
{
  "title": "One artifact. Many readers.",
  "subtitle": "how each consumer ingests the same SVG",
  "columns": [
    { "id": "reader", "label": "READER",    "kind": "text",  "align": "left",   "role": "label" },
    { "id": "mark",   "label": "",          "kind": "glyph", "align": "center", "glyph_tint": "full" },
    { "id": "pixels", "label": "PIXELS",    "kind": "check", "align": "center" },
    { "id": "motion", "label": "MOTION",    "kind": "pill",  "align": "center" },
    { "id": "via",    "label": "READS VIA", "kind": "chip",  "align": "left" }
  ],
  "rows": [
    { "label": "GitHub README", "cells": [{ "glyph": "github" }, { "state": "full" }, { "state": "on" }, { "chips": ["camo", "css animation"] }] }
    <!-- … 4 more rows · lossless -->
  ]
}
</hw:payload>

read at a budget — ≈200 tokens to know what an artifact is

<hw:envelope format="hwz/1" media-type="application/json">
{
  "v": "hwz/1",
  "id": "sha256:0077750046fc2780fa4ba19fcd884fcf39f54632306d8c3d2d97f0b7cbf2df47",
  "k": "matrix",
  "title": "One artifact. Many readers.",
  "intent": "structured comparison: One artifact. Many readers.",
  "state": "active",
  "data": {
    "subvariant": "registry",
    "cols": ["mark", "pixels", "motion", "via"],
    "rows": {
      "GitHub README": "github",
      "VS Code preview": "vscode",
      "Slack unfurl": "slack",
      "Gmail body": "gmail",
      "Agent": "mcp"
    },
    "rows_total": 5
  },
  "frames": [{ "t": "matrix", "l": "One artifact. Many readers." }],
  "prov": { "by": "hyperweave", "ver": "0.4.0a2", "genome": "primer.porcelain", "ts": "2026-06-11T15:51:03.185542+00:00" }
}
</hw:envelope>

The envelope is the lossy digest; only the payload round-trips.

The round-trip: extract hw:payload, edit the JSON, POST /v1/compose with it as matrix: byte-identical re-render. The envelope's id is the sha256 of the payload, so an agent verifies "this artifact really is this data" before trusting either.
The look is a pointer, not a copy: prov.genome: "primer.porcelain" names the aesthetics; payload + that one string is the entire recreation recipe.
Markdown twin: every matrix has a GFM projection. --markdown-out on the CLI, respond:"json" over HTTP, render_target="markdown" over MCP.

# Connectors preset
https://hyperweave.app/v1/matrix/connectors/primer.static?variant=porcelain

# Any table, one URL: base64url MatrixSpec JSON (8 KB cap)
https://hyperweave.app/v1/matrix/custom/primer.static?spec=<base64url>

# CLI, with the markdown twin alongside
hyperweave compose matrix --spec-file table.json -g primer --variant porcelain --markdown-out table.md

Another matrice configuration for visualizing benchmarks:

View as table

MODEL		SWE-bench Verified	INPUT (per Mtok)	OUTPUT (per Mtok)
FRONTIER · CLOSED WEIGHTS
Claude Fable 5	anthropic	95 %	$10	$50
Claude Opus 4.8	anthropic	88.6 %	$5	$25
GPT-5.5	openai	82.6 %	$5	$30
Gemini 3.1 Pro	gemini	80.6 %	$2	$12
OPEN WEIGHTS
DeepSeek V4-Pro	deepseek	80.6 %	$0.44	$0.87
Kimi K2.6	kimi	80.2 %	$0.95	$4
GLM-5	zai	77.8 %	$1	$3.2
Mistral Medium 3.5	mistral	77.6 %	$1.5	$7.5

SWE-bench Verified % · USD per Mtok · current flagships, jun 2026 · sources: vals.ai · artificialanalysis.ai · model cards

Diagrams - Topologies & Motion

HyperWeave diagrams are topology graphs (pipelines, fan-outs, hub-and-spoke, DAGs, sequences, state machines) rendered as portable SVGs. Like matrices, each carries the full payload / envelope / markdown projection set, so an agent reads the structure, not the pixels. Direction is carried by motion.

_{One artifact, every surface · the fan-out topology}

Compose this inline

hyperweave compose diagram --spec-file /dev/stdin -g primer --variant porcelain --chrome bare -o one-artifact.svg <<'JSON'
{
  "topology": "fanout",
  "title": "One Artifact, Every Surface",
  "subtitle": "a self-contained SVG renders wherever markdown does",
  "notes": "every surface",
  "glyph_tint": "full",
  "nodes": [
    {
      "label": "HyperWeave SVG",
      "desc": "self-contained · portable",
      "role": "hero",
      "glyph": "hyperweave",
      "style": "card+glyph"
    },
    {
      "label": "GitHub",
      "desc": "README · Issues · PRs",
      "glyph": "github",
      "style": "card+glyph"
    },
    {
      "label": "Obsidian",
      "desc": "vault · daily notes",
      "glyph": "obsidian",
      "style": "card+glyph"
    },
    {
      "label": "Slack",
      "desc": "threads · unfurled",
      "glyph": "slack",
      "style": "card+glyph"
    },
    {
      "label": "Email",
      "desc": "inline · PDF export",
      "glyph": "gmail",
      "style": "card+glyph"
    },
    {
      "label": "Agent Context",
      "desc": "hw:reasoning parsed",
      "glyph": "anthropic",
      "style": "card+glyph"
    }
  ]
}
JSON

_{Frontier serving · layered DAG with a telemetry skip edge}

Compose this inline

hyperweave compose diagram --spec-file /dev/stdin -g primer --variant cream --chrome bare -o frontier-serving.svg <<'JSON'
{
  "topology": "dag",
  "title": "Frontier Serving",
  "subtitle": "one key to three frontier labs, shared KV, telemetry skips the ranks",
  "notes": "frontier serving",
  "glyph_tint": "full",
  "nodes": [
    {
      "id": "req",
      "label": "requests",
      "desc": "clients"
    },
    {
      "id": "router",
      "label": "OpenRouter",
      "desc": "one key",
      "glyph": "openrouter",
      "style": "card+glyph"
    },
    {
      "id": "anthropic",
      "label": "Anthropic",
      "glyph": "anthropic",
      "style": "card+glyph"
    },
    {
      "id": "openai",
      "label": "OpenAI",
      "glyph": "openai",
      "style": "card+glyph"
    },
    {
      "id": "gemini",
      "label": "Gemini",
      "glyph": "gemini",
      "style": "card+glyph"
    },
    {
      "id": "kv",
      "label": "kv-cache",
      "desc": "redis",
      "glyph": "redis",
      "style": "card+glyph"
    },
    {
      "id": "obs",
      "label": "metrics",
      "desc": "grafana",
      "glyph": "grafana",
      "style": "card+glyph"
    }
  ],
  "edges": [
    {
      "source": "req",
      "target": "router"
    },
    {
      "source": "router",
      "target": "anthropic"
    },
    {
      "source": "router",
      "target": "openai"
    },
    {
      "source": "router",
      "target": "gemini"
    },
    {
      "source": "anthropic",
      "target": "kv"
    },
    {
      "source": "openai",
      "target": "kv"
    },
    {
      "source": "gemini",
      "target": "obs"
    },
    {
      "source": "router",
      "target": "obs"
    }
  ]
}
JSON

_{MCP gateway · host → gateway → server, request and response as two lanes}

Compose this inline

hyperweave compose diagram --spec-file /dev/stdin -g primer --variant porcelain --chrome bare -o mcp-gateway.svg <<'JSON'
{
  "topology": "pipeline",
  "title": "MCP Gateway",
  "subtitle": "host → gateway → server · request and response as two lanes",
  "notes": "mcp gateway",
  "edge_motion": "dash",
  "glyph_tint": "full",
  "nodes": [
    {
      "id": "host",
      "label": "Claude Code",
      "desc": "MCP host",
      "glyph": "claudecode",
      "style": "card+glyph"
    },
    {
      "id": "gw",
      "label": "MCP gateway",
      "glyph": "mcp",
      "role": "hero",
      "style": "card+glyph"
    },
    {
      "id": "server",
      "label": "hyperweave",
      "desc": "MCP server",
      "glyph": "hyperweave",
      "style": "card+glyph"
    }
  ],
  "edges": [
    {
      "source": "host",
      "target": "gw",
      "direction": "both"
    },
    {
      "source": "gw",
      "target": "server",
      "direction": "both"
    }
  ]
}
JSON

_{Frontier handoff · beam relay across four labs}

Compose this inline

hyperweave compose diagram --spec-file /dev/stdin -g primer --variant noir --chrome bare -o frontier-handoff.svg <<'JSON'
{
  "topology": "pipeline",
  "title": "Frontier Handoff",
  "subtitle": "one task relayed across four labs, the comet is the payload",
  "notes": "frontier handoff",
  "edge_motion": "beam",
  "node_style": "glyph-circle",
  "glyph_tint": "full",
  "nodes": [
    {
      "label": "GPT",
      "glyph": "openai"
    },
    {
      "label": "Claude",
      "glyph": "anthropic",
      "role": "hero"
    },
    {
      "label": "Gemini",
      "glyph": "gemini"
    },
    {
      "label": "Ollama",
      "glyph": "ollama"
    }
  ]
}
JSON

Genomes - Aesthetic DNA

A genome is a portable, machine-readable aesthetic specification. It encodes the complete visual identity (chromatic system, surface material, motion vocabulary, geometric form language) as a set of CSS custom properties that any agent can consume and apply consistently across every artifact type.

Four built-in genomes ship today. Custom genome generation via AI skill files coming soon.

brutalist · automata · chrome · primer

brutalist

_{22 variants · 8 dark: celadon · alloy · carbon · pigment · umber · ember · temper · onyx
14 light (6 shown): primer · depth · pulse · archive · signal · afterimage}

Signals _{state machine}	_{/v1/badge/{title}/{value}/{genome}.static?state={state}&variant={celadon\|carbon\|alloy\|temper\|pigment\|ember\|umber\|onyx\|archive\|signal\|pulse\|depth\|afterimage\|primer}} _{hyperweave.app/v1/badge/BUILD/passing/brutalist.static?state=passing&variant=celadon}
Dashboard _strip	_{/v1/strip/{title}/{genome}.static?data={tokens}&subtitle={text}&glyph={glyph}&variant={variant}} _{hyperweave.app/v1/strip/hyperweave/brutalist.static?data=gh:InnerAura/hyperweave.stars,pypi:hyperweave.version,gh:InnerAura/hyperweave.build&subtitle=InnerAura/hyperweave&glyph=github&variant=celadon}
Profile _{stats card}	_{/v1/stats/{username}/{genome}.static?variant={variant}} _{hyperweave.app/v1/stats/eli64s/brutalist.static?variant=pulse}
Star Chart _{star history}	_{/v1/chart/stars/{owner}/{repo}/{genome}.static?variant={variant}} _{hyperweave.app/v1/chart/stars/eli64s/readme-ai/brutalist.static?variant=celadon}
Marquee _{horizontal ticker}	_{/v1/marquee/{title}/{genome}.static?data={tokens}&variant={variant}} _{hyperweave.app/v1/marquee/readme-ai/brutalist.static?data=gh:eli64s/readme-ai.stars,gh:eli64s/readme-ai.forks,gh:eli64s/readme-ai.contributors,gh:eli64s/readme-ai.watchers,pypi:readmeai.downloads,gh:eli64s/readme-ai.last_push,gh:eli64s/readme-ai.pull_requests,gh:eli64s/readme-ai.issues,gh:eli64s/readme-ai.build,pypi:readmeai.version,gh:eli64s/readme-ai.language&variant=celadon}
Icons _{circle + square}	_{/v1/icon/{glyph}/{genome}.static?shape={circle\|square}&variant={variant}} _{hyperweave.app/v1/icon/github/brutalist.static?shape=circle&variant=celadon}
Divider _{seam · sigil}	_{/v1/divider/{seam\|sigil}/{genome}.static?variant={variant}} _{hyperweave.app/v1/divider/sigil/brutalist.static?variant=pulse}

automata

_{16 tones · crimson · copper · bone · solar · amber · sulfur · toxic · jade
abyssal · teal · steel · cobalt · indigo · violet · magenta · burgundy
pair any two via ?variant=primary&pair=secondary}

Signals _{state machine}	_{/v1/badge/{title}/{value}/{genome}.static?state={state}} _{hyperweave.app/v1/badge/BUILD/passing/automata.static?state=passing&variant=bone}
Dashboard _strip	_{/v1/strip/{title}/automata.static?data={tokens}&variant={tone}&pair={tone}&subtitle={text}&glyph={glyph}} _{hyperweave.app/v1/strip/readme-ai/automata.static?data=gh:eli64s/readme-ai.stars,gh:eli64s/readme-ai.forks,pypi:readmeai.version&subtitle=eli64s/readme-ai&variant=bone&pair=steel&glyph=github}
Profile _{stats card}	_{/v1/stats/{username}/{genome}.static?variant={tone}} _{hyperweave.app/v1/stats/eli64s/automata.static?variant=bone}
Star Chart _{star history}	_{/v1/chart/stars/{owner}/{repo}/{genome}.static?variant={tone}} _{hyperweave.app/v1/chart/stars/eli64s/readme-ai/automata.static?variant=bone}
Marquee _{horizontal ticker}	_{/v1/marquee/{title}/automata.static?data={tokens}&variant={tone}} _{hyperweave.app/v1/marquee/readme-ai/automata.static?data=gh:eli64s/readme-ai.stars,gh:eli64s/readme-ai.forks,gh:eli64s/readme-ai.contributors,gh:eli64s/readme-ai.watchers,pypi:readmeai.downloads,gh:eli64s/readme-ai.last_push,gh:eli64s/readme-ai.pull_requests,gh:eli64s/readme-ai.issues,gh:eli64s/readme-ai.build,pypi:readmeai.version,gh:eli64s/readme-ai.language&variant=bone}
Icons _square	_{/v1/icon/{glyph}/automata.static?shape=square&variant={tone}} _{hyperweave.app/v1/icon/docker/automata.static?shape=square&variant=cobalt}
Divider _dissolve	_{/v1/divider/dissolve/{genome}.static?variant={tone}&pair={tone}} _{hyperweave.app/v1/divider/dissolve/automata.static?variant=bone&pair=steel}

chrome

_{5 variants: horizon · lightning · abyssal · moth · graphite}

Signals _{state machine}	_{/v1/badge/{title}/{value}/{genome}.static?state={state}&variant={horizon\|lightning\|abyssal\|moth\|graphite}} _{hyperweave.app/v1/badge/BUILD/passing/chrome.static?state=passing&variant=horizon}
Dashboard _strip	_{/v1/strip/{title}/{genome}.static?data={tokens}&subtitle={text}&glyph={glyph}&variant={variant}} _{hyperweave.app/v1/strip/readme-ai/chrome.static?data=gh:eli64s/readme-ai.stars,gh:eli64s/readme-ai.forks,pypi:readmeai.version&subtitle=eli64s/readme-ai&glyph=github&variant=horizon}
Profile _{stats card}	_{/v1/stats/{username}/{genome}.static?variant={variant}} _{hyperweave.app/v1/stats/eli64s/chrome.static?variant=horizon}
Star Chart _{star history}	_{/v1/chart/stars/{owner}/{repo}/{genome}.static?variant={variant}} _{hyperweave.app/v1/chart/stars/eli64s/readme-ai/chrome.static?variant=horizon}
Marquee _{horizontal ticker}	_{/v1/marquee/{title}/{genome}.static?data={tokens}&variant={variant}} _{hyperweave.app/v1/marquee/readme-ai/chrome.static?data=gh:eli64s/readme-ai.stars,gh:eli64s/readme-ai.forks,gh:eli64s/readme-ai.contributors,gh:eli64s/readme-ai.watchers,pypi:readmeai.downloads,gh:eli64s/readme-ai.last_push,gh:eli64s/readme-ai.pull_requests,gh:eli64s/readme-ai.issues,gh:eli64s/readme-ai.build,pypi:readmeai.version,gh:eli64s/readme-ai.language&variant=horizon}
Icons _{circle + square}	_{/v1/icon/{glyph}/{genome}.static?shape={circle\|square}&variant={variant}} _{hyperweave.app/v1/icon/youtube/chrome.static?shape=circle&variant=horizon}
Divider _band	_{/v1/divider/band/{genome}.static?variant={variant}} _{hyperweave.app/v1/divider/band/chrome.static?variant=horizon}

primer

_{8 variants · 4 light: porcelain · cream · dusk · petrol
4 dark: noir · carbon · space · anvil}

Signals _{animated state marks}	_{ping (passing) · spinner (building) · throb (warning) · shake (critical). One mark system, shared with the strip.} _{/v1/badge/{title}/{value}/primer.static?state={state}&variant={porcelain\|cream\|dusk\|petrol\|noir\|carbon\|space\|anvil}} _{hyperweave.app/v1/badge/BUILD/passing/primer.static?state=passing&variant=porcelain}
Dashboard _strip	_{/v1/strip/{title}/primer.static?data={tokens}&subtitle={text}&glyph={glyph}&variant={variant}} _{hyperweave.app/v1/strip/readme-ai/primer.static?data=gh:eli64s/readme-ai.stars,gh:eli64s/readme-ai.forks,pypi:readmeai.version&subtitle=eli64s/readme-ai&glyph=github&variant=porcelain}
Profile _{stats card}	_{/v1/stats/{username}/primer.static?variant={variant}} _{hyperweave.app/v1/stats/eli64s/primer.static?variant=porcelain}
Star Chart _{star history}	_{/v1/chart/stars/{owner}/{repo}/primer.static?variant={variant}} _{hyperweave.app/v1/chart/stars/eli64s/readme-ai/primer.static?variant=porcelain}
Marquee _{horizontal ticker}	_{/v1/marquee/{title}/primer.static?data={tokens}&variant={variant}} _{hyperweave.app/v1/marquee/readme-ai/primer.static?data=gh:eli64s/readme-ai.stars,gh:eli64s/readme-ai.forks,gh:eli64s/readme-ai.contributors,pypi:readmeai.downloads,gh:eli64s/readme-ai.last_push,pypi:readmeai.version,gh:eli64s/readme-ai.language&variant=porcelain}
Icons _{circle + square}	_{/v1/icon/{glyph}/primer.static?shape={circle\|square}&variant={variant}} _{hyperweave.app/v1/icon/github/primer.static?shape=circle&variant=noir}
Divider _aura	_{/v1/divider/aura/primer.static?variant={variant}} _{hyperweave.app/v1/divider/aura/primer.static?variant=porcelain}

	brutalist	automata	chrome	primer
Aesthetic	Raw material	Cellular	Metallic	Minimal
Variants	22 (8 dark, 14 light)	16 tones, any two pair	5 named	8 (4 dark, 4 light)
Motion	Animated border SMIL	Animated cell grid	Animated border SMIL	Animated state marks
Divider	`seam` · `sigil`	`dissolve`	`band`	`aura`

`/a/inneraura/dividers/`

block _{De Stijl composition}	_{/a/inneraura/dividers/{slug}} _{hyperweave.app/a/inneraura/dividers/block}
current _{animated rainbow bezier}	_{/a/inneraura/dividers/{slug}} _{hyperweave.app/a/inneraura/dividers/current}
takeoff _{rocket trajectory + thrust}	_{/a/inneraura/dividers/{slug}} _{hyperweave.app/a/inneraura/dividers/takeoff}
void _{spectral bloom + hover state}	_{/a/inneraura/dividers/{slug}} _{hyperweave.app/a/inneraura/dividers/void}
zeropoint _{aurora rule + nexus beacon}	_{/a/inneraura/dividers/{slug}} _{hyperweave.app/a/inneraura/dividers/zeropoint}

Error fallback: SMPTE NO SIGNAL

Every broken <img> URL renders the SMPTE RP 219 test pattern with ERR_NNN matching the HTTP status, instead of a browser broken-image icon.

_{/v1/badge/{title}/{value}/{unknown-genome}.static}
_{hyperweave.app/v1/badge/TEST/value/unknown-genome.static}

Install

uv add hyperweave            # CLI + SVG rendering (the base)
uv add 'hyperweave[serve]'   # + HTTP server  (hyperweave serve)
uv add 'hyperweave[mcp]'     # + MCP server   (hyperweave mcp)
uv add 'hyperweave[all]'     # + both servers
# or swap `uv add` for `pip install`

Requires Python 3.12+. The base install is CLI + rendering; the HTTP and MCP servers are optional extras so the core stays lean.

Entry Points

Four interfaces, one pipeline. Every path produces the same artifact through the same compositor.

MCP

{
  "mcpServers": {
    "hyperweave": {
      "command": "hyperweave",
      "args": ["mcp"]
    }
  }
}

# Static badge
hw_compose(type="badge", title="BUILD", value="passing", genome="brutalist")

# Data-driven badge — unified token grammar (gh:owner/repo.metric, pypi:pkg.metric, ...)
hw_compose(type="badge", title="STARS", data="gh:anthropics/claude-code.stars", genome="brutalist")

# Strip with multiple live metrics
hw_compose(type="strip", title="readme-ai",
           data="gh:eli64s/readme-ai.stars,gh:eli64s/readme-ai.forks,pypi:readmeai.version",
           genome="chrome")

# Marquee with mixed text + live tokens
hw_compose(type="marquee-horizontal",
           data="text:NEW RELEASE,gh:anthropics/claude-code.stars,text:DOWNLOAD",
           genome="brutalist")

# Discoverable shortcut for single-metric live badges
hw_live(provider="github", identifier="anthropics/claude-code", metric="stars")

hw_kit(type="readme", genome="brutalist", badges="build:passing")
hw_discover(what="all")

CLI

# Badge
hyperweave compose badge "build" "passing" --genome brutalist

# Strip with metrics
hyperweave compose strip "readme-ai" "STARS:2.9k,FORKS:278" -g brutalist

# Live data through the unified --data token grammar
hyperweave compose badge "STARS" --data 'gh:anthropics/claude-code.stars' -g brutalist

# Marquee with mixed text + live tokens
hyperweave compose marquee-horizontal --data 'text:NEW RELEASE,gh:owner/repo.stars,text:DOWNLOAD' -g brutalist

# Artifact kit
hyperweave kit readme -g brutalist --badges "build:passing,version:v0.2.0" --social "github,discord"

# Profile card (live GitHub data, path-segment identity)
hyperweave compose stats eli64s -g chrome -o stats.svg

# Star history chart
hyperweave compose chart stars eli64s/readme-ai -g brutalist -o chart.svg

# Custom genome from a local JSON file (validated against the profile contract)
hyperweave compose badge "DEPLOY" "live" --genome-file ./my-genome.json
hyperweave validate-genome ./my-genome.json

HTTP API

# URL grammar: /v1/{type}/{title}/{value}/{genome}.{motion}
curl 'https://hyperweave.app/v1/strip/readme-ai/brutalist.static?value=STARS:2.9k,FORKS:278'

# Live data via the unified ?data= grammar (works on badge / strip / marquee)
curl 'https://hyperweave.app/v1/badge/STARS/chrome.static?data=gh:anthropics/claude-code.stars'
curl 'https://hyperweave.app/v1/strip/readme-ai/brutalist.static?data=gh:eli64s/readme-ai.stars,gh:eli64s/readme-ai.forks'
curl 'https://hyperweave.app/v1/marquee/SCROLL/brutalist.static?data=text:NEW%20RELEASE,gh:anthropics/claude-code.stars'

# Chromatic variants (automata: 16 solo tones, pair any two via &pair=...; chrome: horizon/abyssal/lightning/graphite/moth)
curl 'https://hyperweave.app/v1/badge/PYPI/automata.static?variant=teal&pair=violet&data=pypi:hyperweave.version'
curl 'https://hyperweave.app/v1/badge/build/passing/automata.static?size=compact'

# Genome-themed dividers
curl 'https://hyperweave.app/v1/divider/band/chrome.static'
curl 'https://hyperweave.app/v1/divider/seam/brutalist.static'
curl 'https://hyperweave.app/v1/divider/dissolve/automata.static'

# Genome-agnostic dividers
curl 'https://hyperweave.app/a/inneraura/dividers/zeropoint'

# Structured frames: /v1/{matrix|diagram}/{preset}/{genome}.{motion}
# (preset 'custom' takes a base64url spec; diagrams add ?chrome=bare)
curl 'https://hyperweave.app/v1/matrix/connectors/primer.static?variant=porcelain'
curl 'https://hyperweave.app/v1/diagram/pipeline/primer.static?variant=porcelain&chrome=bare'

# POST compose
curl -X POST https://hyperweave.app/v1/compose \
  -H "Content-Type: application/json" \
  -d '{"type":"strip","title":"hyperweave","genome":"brutalist","value":"STARS:2.9k"}'

# Local server
hyperweave serve --port 8000

How It Works

Every artifact is the output of a single composition formula:

ARTIFACT = FRAME × PROFILE × GENOME × SLOTS × MOTION × ENVIRONMENT

Python builds context dicts. Jinja2 builds SVG. YAML defines config. Three layers, no mixing. Zero f-string SVG in Python.

ComposeSpec → engine.py → assembler.py (CSS) → lanes.py (validate) → templates.py (Jinja2) → SVG

Every artifact ships with:

Semantic metadata: provenance, reasoning, spatial trace, aesthetic DNA. Machine-readable context so the next agent in the chain knows what it's looking at and why.
CSS state machines: data-hw-status, data-hw-state, data-hw-regime drive visual transitions through the Custom Property Bridge. No JavaScript.
Pure CSS/SMIL animation: all motion uses compositor-safe properties (transform, opacity, filter). No script tags. Works anywhere SVGs render: GitHub's Camo proxy, email clients, Notion embeds.
Accessibility: WCAG AA, prefers-reduced-motion, prefers-color-scheme, forced-colors, ARIA markup. Structural, not decorative.

Dimension	Count
Frame types	11 (badge, strip, icon, divider, marquee-horizontal, stats, chart, matrix, diagram, receipt, rhythm-strip)
Genomes	4 (automata, brutalist, chrome, primer)
Motion configs	6 (1 static + 5 border SMIL)
Glyphs	189 (183 brand marks + 6 geometric shapes)
Divider variants	10: 5 genome-themed (`band` chrome, `seam` + `sigil` brutalist, `dissolve` automata, `aura` primer) + 5 genome-agnostic (`block`, `current`, `takeoff`, `void`, `zeropoint`) at `/a/inneraura/dividers/`
Metadata tiers	5 (Tier 0 silent → Tier 4 reasoning)
Bundled fonts	5 (JetBrains Mono, Orbitron, Chakra Petch, Barlow Condensed, Inter), embedded per artifact, no external font requests

Stack: Pydantic, FastAPI, FastMCP v3, Jinja2, Typer.

Data Connectors

HyperWeave binds live data into any artifact through a unified token grammar (?data=...). Tokens are comma-separated; each token is either a literal (text:, kv:) or a live fetch (<provider>:<identifier>.<metric>).

Copy a token · view as table

Prefix	Source	Identifier shape	Metrics
`gh` / `github`	GitHub	`owner/repo`	`stars`, `forks`, `watchers`, `contributors`, `issues`, `pull_requests`, `last_push`, `build`, `license`, `language`
`pypi`	PyPI + pepy.tech	`package`	`version`, `license`, `python_requires`, `downloads`
`npm`	npm	`package`	`version`, `license`, `downloads`
`crates` / `cargo`	crates.io	`crate`	`version`, `downloads`, `recent_downloads`, `license`
`hf` / `huggingface`	Hugging Face	`org/model`	`downloads`, `likes`, `tags`, `pipeline_tag`, `library_name`, `license`, `gated`, `last_modified`
`docker`	Docker Hub	`namespace/repo`	`pull_count`, `star_count`, `last_updated`
`arxiv`	arXiv	`id` (e.g. `2310.06825`)	`title`, `authors`, `published`, `updated`, `categories`, `summary`, `journal_ref`, `doi`
`scorecard`	OpenSSF Scorecard	`owner/repo`	`score` (overall trust), plus per-check: `code_review`, `maintained`, `vulnerabilities`, `token_permissions`, ...
`dora`	GitHub Actions	`owner/repo`	`deploy_frequency`, `lead_time`, `change_failure_rate`, `mttr` (30-day window)
`text`	literal	—	renders the payload as displayed text
`kv`	literal	`KEY=VALUE`	static role-tagged value

Caching: live values for 5–10 min; a failed fetch caches 60s and shows — rather than a fabricated zero.
Isolation: each provider has its own circuit breaker, so one upstream outage can't trip the others.
Escaping: commas inside text: / kv: values escape as \,.

→ Open an issue to request a connector.

Contributing

HyperWeave is early. If you're interested in building genomes, extending frame types, or just seeing what this looks like in your own README, join the Discord.

Name		Name	Last commit message	Last commit date
Latest commit History 86 Commits
.github/workflows		.github/workflows
assets		assets
docs		docs
hooks		hooks
scripts		scripts
src/hyperweave		src/hyperweave
tests		tests
.dockerignore		.dockerignore
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
CHANGELOG.md		CHANGELOG.md
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
fly.toml		fly.toml
justfile		justfile
pyproject.toml		pyproject.toml
uv.lock		uv.lock

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The Problem

Agentic Artifacts

Matrices - Generative Tables

Diagrams - Topologies & Motion

Genomes - Aesthetic DNA

brutalist

automata

chrome

primer

`/a/inneraura/dividers/`

Error fallback: SMPTE NO SIGNAL

Install

Entry Points

MCP

CLI

HTTP API

How It Works

Data Connectors

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Repository files navigation

The Problem

Agentic Artifacts

Matrices - Generative Tables

Diagrams - Topologies & Motion

Genomes - Aesthetic DNA

brutalist

automata

chrome

primer

/a/inneraura/dividers/

Error fallback: SMPTE NO SIGNAL

Install

Entry Points

MCP

CLI

HTTP API

How It Works

Data Connectors

Contributing

About

Topics

Resources

License

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Uh oh!

Contributors

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`/a/inneraura/dividers/`

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