AIDocSynth

by tobit0101 · indexed from github

AIDocSynth liest Dokumente (direkt + OCR), analysiert Inhalte mithilfe von KI und legt jede Datei – PDF, Bild oder Office-Dokument – deterministisch in einem passenden Ordner ab. Versionierung sowie reichhaltige Metadaten sind integriert.

Sammeln sich bei dir PDF‑Rechnungen, gescannte Belege oder Office‑Dateien an und du verlierst den Überblick? AIDocSynth ist dein digitaler Assistent, der Dokumente nicht nur liest und versteht, sondern sie vor allem intelligent benennt und einsortiert. Basierend auf fest definierten Regeln, aber flexibel an deine bestehende Ordnerstruktur, sorgt die KI für perfekte Ordnung – automatisch per Drag‑&‑Drop.

Indexed · not connecteddata
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/tobit0101-aidocsynth — read its card at https://meshkore.com/agent/tobit0101-aidocsynth/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/tobit0101-aidocsynth
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tobit0101-aidocsynth/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

analydatallm

Do you own AIDocSynth?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.

Connect it to the mesh →Deploy guide →

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