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Show HN

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 - polyvia-ai/polyvia: Multimodal Document Agents o...
mgierlach-po · 2026-06-18 · via Show HN

We’re releasing Polyvia 1, as two products:

  • Polyvia API: Multimodal Document Retrieval API (for developers of AI agents) - available now.
  • Polyvia Platform: Research and Automation Agent over 100K+ multimodal docs (for knowledge workers in enterprises) - coming soon.

We index your unstructured & visual & multimodal docs (PDFs, charts, slides, complex tables, infographics, scans, handwriting, invoices, and more) into multimodal knowledge ontology, with agents running on top for retrieval, research and automation — every answer grounded in a cited source page, in sub-200ms.

Why Polyvia

1. Fast over 100K+ multimodal docs. Agentic, file-by-file search (Claude Code, Claude Cowork, Codex) works only up to ~100 multimodal files — past that it's too slow, and at scale you still need retrieval. Polyvia does sub-200ms search over 100K+ files, every answer grounded in a cited source page.

2. End-to-end — no need for extractors or PDF parsers. When you build large-scale multimodal RAG over a company's files, the only infra available today is visual extractors / PDF parsers (Reducto, LlamaIndex). There's no end-to-end infra for large-scale multimodal document retrieval — until Polyvia: VLM Visual Extractor → Multimodal Knowledge Ontology (mapping all your company's data and processes) → Self-Improving Retrieval Agent.

3. All unstructured, visual and multimodal data inputs in one API. Available now: PDFs, charts, infographics, complex multi-page tables, slides, pictures, handwriting, scans, invoices, audio. Coming soon: video, healthcare scans / EHR, chemical & molecular data, CAD & technical drawings, heatmaps.

Polyvia supported modalities — Visual Document Intelligence + Audio (live today), with video, EHR, molecular, CAD and heatmaps coming soon

What people build with it

  • Multimodal RAG inside your own agent — retrieval-as-a-tool over large doc sets.
  • Data-room / due-diligence search — query 100+ visual-heavy PDFs jointly (PE, IB, M&A).
  • Counterparty & credit monitoring — EBITDA, opex, revenue across hundreds of borrower reports.
  • Image-based claim processing — describe claim photos in the context of a policy.
  • Cross-engagement slide search — find answers buried in thousands of slides.

Install

pip install polyvia        # Python 3.9+
npm  install polyvia       # Node 18+

Quickstart

Grab a key in Polyvia PlatformSettings → API. Ingest a batch into a group, then ask one question across the whole corpus — answers cite the exact page in each document.

Python SDK

from polyvia import Polyvia

client = Polyvia(api_key="poly_<key>")  # or set POLYVIA_API_KEY

# Ingest a batch into a group, then ask one question across all of it.
items = client.ingest.batch(
    ["q1.pdf", "q2.pdf", "q3.pdf", "q4.pdf"],
    group="FY24 Earnings",
)
for item in items:
    client.ingest.wait(item.task_id)

print(client.query("How did revenue trend across the four quarters?",
                   group="FY24 Earnings").answer)

JavaScript/TypeScript SDK

import { Polyvia } from "polyvia";

const client = new Polyvia({ apiKey: "poly_<key>" });

const items = await client.ingest.batch(
  ["q1.pdf", "q2.pdf", "q3.pdf", "q4.pdf"],
  { group: "FY24 Earnings" },
);
await Promise.all(items.map((i) => client.ingest.wait(i.task_id)));

const answer = await client.query(
  "How did revenue trend across the four quarters?",
  { group: "FY24 Earnings" },
);
console.log(answer.answer);

Scope a query three ways: a single document_id (fastest), a group / group_ids, or the whole workspace (no scope).

More examples

Runnable scripts live in examples/. A few highlights:

Example What it shows
query_scopes.py All four query scopes — workspace, document, group, many groups
groups_and_documents.py Create/find/list groups; list, get, move and delete documents
batch_group.py Ingest a batch into a group, then query across it
async_client.py AsyncPolyvia — the same surface, awaitable
agent_tool.py Expose Polyvia retrieval as a tool to your own agent
curl.sh The same loop over raw HTTP, no SDK

Querying across scopes, for example:

# whole workspace · a group (by name) · one document (fastest) · many groups (by id)
client.query("What risks recur across all reports?")
client.query("How did revenue trend?", group="FY24 Earnings")
client.query("Executive summary?", document_id="doc_<id>")
client.query("Compare the deals.", group_ids=["g_<id>", "g_<id>"])

Full Developer Docs

Use it from an agent

MCP — connect Claude Code (or any MCP client) to the hosted Polyvia MCP server in one line, so your agent can retrieve over your documents as a tool:

claude mcp add --transport http polyvia https://app.polyvia.ai/mcp \
  --header "Authorization: Bearer poly_<your-key>"

Agent Skills — install Polyvia skills into Claude Code, Cursor, and other agent clients:

npx skills add polyvia-ai/skills

MCP docs · Agent Skills

Roadmap

Product For Status
Polyvia-1.1 Polyvia API — Multimodal Document Retrieval API Developers of AI agents Available now
Polyvia-1.2 Polyvia Platform — Research & Automation Agent over 100K+ multimodal docs Knowledge workers in enterprises Coming soon
Later Polyvia Agents — build your own agent for automating processes on large volumes of multimodal docs Builders & Teams Planned
Later More modalities — video, healthcare scans / EHR, chemical & molecular data, CAD & technical drawings, heatmaps Builders & teams Planned

Release log

We update this as we ship — latest first. Full notes at docs.polyvia.ai/versions.

Polyvia-1.1 — Polyvia API · available now

  • REST API v1ingest, documents, groups, query, usage, rate-limits; async ingestion with task polling and grounded citations.
  • Python SDKpip install polyvia; typed sync and async clients, batch ingestion, idempotent groups, structured errors.
  • TypeScript SDKnpm install polyvia; fully typed, ESM/CJS, Node 18+.
  • MCP serverclaude mcp add --transport http polyvia https://app.polyvia.ai/mcp --header "Authorization: Bearer poly_<your-key>".
  • Agent Skillsnpx skills add polyvia-ai/skills for Claude Code, Cursor, and other agent clients.
  • Visual Document Modalities — Visual Document Intelligence + Audio: charts, graphs & plots, infographics, complex multi-page tables, slides & decks, reports & filings, scanned & photographed pages, invoices & forms, handwriting & annotations, diagrams & flowcharts, photos & images, and audio (calls, meetings, recordings).

Up next

  • Polyvia-1.2 — Polyvia Platform — Research & Automation Agent over 100K+ multimodal docs, for knowledge workers in enterprises.
  • More modalities (coming soon) — healthcare scans / EHR, chemical & molecular data, CAD & technical drawings, video, heatmaps.
  • Polyvia Agents — build your own agent for automating processes on large volumes of multimodal documents.

SDKs & reference

Install Source
Python pip install polyvia docs.polyvia.ai/products/python-sdk
TypeScript npm install polyvia docs.polyvia.ai/products/js-sdk
REST API docs.polyvia.ai/api-reference
MCP hosted · app.polyvia.ai/mcp docs.polyvia.ai/products/mcp
Agent Skills npx skills add polyvia-ai/skills docs.polyvia.ai/products/skills

Supported inputs: PDFs · Word/PowerPoint/Excel (DOCX/PPTX/XLSX) · Markdown · text · images · audio. Charts, infographics, complex multi-page tables, slides, scans and handwriting are first-class.

Resources

Runnable snippets (Python, TypeScript, raw HTTP, MCP, agent-tool) live in examples/ — see the examples guide. See also CHANGELOG · CONTRIBUTING · SECURITY.

New to Polyvia? See what it does at polyvia.ai, or start free at app.polyvia.ai.

📚 Docs · 🖥️ Platform · ✉️ mateusz@polyvia.ai · senyao@polyvia.ai

License

© 2026 Polyvia. All rights reserved.