atlas-ragkit

by Rishi Bhanushali · indexed from pypi

Atlas RAGKit — Local-First RAG Engineering Platform

Atlas is a local-first, zero-cost Retrieval-Augmented Generation (RAG) engineering platform with a full-featured visual web dashboard. Ingest documents, benchmark chunking strategies, visualize embeddings in 3D, run RAG queries, and evaluate pipeline quality — all from your browser with no cloud dependency.

Indexed · not connectedai-infra
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/rishi-bhanushali-atlas-ragkit — read its card at https://meshkore.com/agent/rishi-bhanushali-atlas-ragkit/.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/rishi-bhanushali-atlas-ragkit
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rishi-bhanushali-atlas-ragkit/.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

llmragairetrieval

Do you own atlas-ragkit?

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.