hyperweave 0.4.0a4

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

Agents need to show their work through plans, diagrams, dashboards, status cards, receipts, and reports. Markdown is portable but visually limited. HTML is expressive but not always durable across surfaces. Images are easy to share but lose their structure. Raw model output is flexible but inconsistent.

HyperWeave turns structured specs into deterministic visual artifacts. Each artifact is a self-contained SVG with layout, branding, data binding, and machine-readable metadata baked in. No JavaScript, no runtime, no dependencies. Readable by humans, recoverable by agents, and portable anywhere an <img> tag renders.

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

HyperWeave receipts turn an AI coding session into a portable artifact that shows what it cost by model, tool usage, token spend, and context window history. Install the hook once and every session emits one:

hyperweave install-hook

_{Claude Code · $116.66 · 151.1M tokens · 574 calls · opus-4.8}

_{Codex · $49.76 · 62.2M tokens · 718 calls · gpt-5.5}

_{The same Claude session if you fancy a proper receipt}

HyperWeave reads your JSONL transcript from disk, detects the harness (Claude Code or Codex currently supported), and can be themed in any of 8 primer variants plus the raw receipt above. Want another agent harness? Open an issue.

Select theme at install time: hyperweave install-hook --genome cream (any of the eight), or --genome raw for the paper receipt.

---

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

Compose this inline

hyperweave compose matrix --spec-file /dev/stdin -g primer --variant porcelain -o one-artifact.svg <<'JSON'
{
  "title": "One artifact. Many readers.",
  "subtitle": "how each consumer ingests the same SVG",
  "columns": [
    {
      "id": "reader",
      "label": "READER",
      "role": "label"
    },
    {
      "id": "mark",
      "label": "",
      "kind": "glyph",
      "glyph_tint": "full"
    },
    {
      "id": "pixels",
      "label": "PIXELS",
      "kind": "check"
    },
    {
      "id": "motion",
      "label": "MOTION",
      "kind": "pill"
    },
    {
      "id": "via",
      "label": "READS VIA",
      "kind": "chip"
    }
  ],
  "rows": [
    {
      "label": "GitHub README",
      "cells": [
        {
          "glyph": "github"
        },
        {
          "state": "full"
        },
        {
          "state": "on"
        },
        {
          "chips": [
            "camo",
            "css animation"
          ]
        }
      ]
    },
    {
      "label": "VS Code preview",
      "cells": [
        {
          "glyph": "vscode"
        },
        {
          "state": "full"
        },
        {
          "state": "on"
        },
        {
          "chips": [
            "markdown preview"
          ]
        }
      ]
    },
    {
      "label": "Slack unfurl",
      "cells": [
        {
          "glyph": "slack"
        },
        {
          "state": "partial"
        },
        {
          "state": "off"
        },
        {
          "chips": [
            "image proxy"
          ]
        }
      ]
    },
    {
      "label": "Gmail body",
      "cells": [
        {
          "glyph": "gmail"
        },
        {
          "state": "partial"
        },
        {
          "state": "off"
        },
        {
          "chips": [
            "img tag"
          ]
        }
      ]
    },
    {
      "label": "Agent",
      "cells": [
        {
          "glyph": "mcp"
        },
        {
          "state": "none"
        },
        {
          "state": "off"
        },
        {
          "chips": [
            "hw:payload",
            "hwz/1",
            "markdown twin"
          ]
        }
      ]
    }
  ],
  "notes": "pixels for humans · hw:payload for agents"
}
JSON

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": "0.4.0a4", "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

Compose this inline

hyperweave compose matrix --spec-file /dev/stdin -g primer --variant cream -o frontier-benchmarks.svg <<'JSON'
{
  "title": "Frontier vs Open",
  "subtitle": "coding & price · SWE-bench Verified against price per million tokens · current flagships, jun 2026",
  "columns": [
    {
      "id": "model",
      "label": "MODEL",
      "kind": "text",
      "align": "left",
      "role": "label"
    },
    {
      "id": "mark",
      "label": "",
      "kind": "glyph",
      "align": "center",
      "glyph_tint": "full"
    },
    {
      "id": "swe",
      "label": "SWE-bench Verified",
      "kind": "numeric",
      "align": "center",
      "polarity": "higher",
      "unit": "%"
    },
    {
      "id": "pin",
      "label": "INPUT",
      "sublabel": "per Mtok",
      "kind": "numeric",
      "align": "center",
      "polarity": "lower",
      "unit": "$"
    },
    {
      "id": "pout",
      "label": "OUTPUT",
      "sublabel": "per Mtok",
      "kind": "numeric",
      "align": "center",
      "polarity": "lower",
      "unit": "$"
    }
  ],
  "rows": [
    {
      "label": "Claude Fable 5",
      "cells": [
        {
          "glyph": "anthropic"
        },
        {
          "value": 95.0
        },
        {
          "value": 10
        },
        {
          "value": 50
        }
      ],
      "section": "FRONTIER · CLOSED WEIGHTS"
    },
    {
      "label": "Claude Opus 4.8",
      "cells": [
        {
          "glyph": "anthropic"
        },
        {
          "value": 88.6
        },
        {
          "value": 5
        },
        {
          "value": 25
        }
      ],
      "section": "FRONTIER · CLOSED WEIGHTS"
    },
    {
      "label": "GPT-5.5",
      "cells": [
        {
          "glyph": "openai"
        },
        {
          "value": 82.6
        },
        {
          "value": 5
        },
        {
          "value": 30
        }
      ],
      "section": "FRONTIER · CLOSED WEIGHTS"
    },
    {
      "label": "Gemini 3.1 Pro",
      "cells": [
        {
          "glyph": "gemini"
        },
        {
          "value": 80.6
        },
        {
          "value": 2
        },
        {
          "value": 12
        }
      ],
      "section": "FRONTIER · CLOSED WEIGHTS"
    },
    {
      "label": "DeepSeek V4-Pro",
      "cells": [
        {
          "glyph": "deepseek"
        },
        {
          "value": 80.6
        },
        {
          "value": 0.44
        },
        {
          "value": 0.87
        }
      ],
      "section": "OPEN WEIGHTS"
    },
    {
      "label": "Kimi K2.6",
      "cells": [
        {
          "glyph": "kimi"
        },
        {
          "value": 80.2
        },
        {
          "value": 0.95
        },
        {
          "value": 4.0
        }
      ],
      "section": "OPEN WEIGHTS"
    },
    {
      "label": "GLM-5",
      "cells": [
        {
          "glyph": "zai"
        },
        {
          "value": 77.8
        },
        {
          "value": 1.0
        },
        {
          "value": 3.2
        }
      ],
      "section": "OPEN WEIGHTS"
    },
    {
      "label": "Mistral Medium 3.5",
      "cells": [
        {
          "glyph": "mistral"
        },
        {
          "value": 77.6
        },
        {
          "value": 1.5
        },
        {
          "value": 7.5
        }
      ],
      "section": "OPEN WEIGHTS"
    }
  ],
  "sections": [
    "FRONTIER · CLOSED WEIGHTS",
    "OPEN WEIGHTS"
  ],
  "notes": "SWE-bench Verified % · USD per Mtok · current flagships, jun 2026 · sources: vals.ai · artificialanalysis.ai · model cards"
}
JSON

---

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",
           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 --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	10 (badge, strip, icon, divider, marquee, stats, chart, matrix, diagram, receipt)
Genomes	4 (automata, brutalist, chrome, primer)
Motion configs	6 (1 static + 5 border SMIL)
Glyphs	192 (183 brand marks + 9 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.

---