IncarnaMind
Connect and chat with your multiple documents (pdf and txt) through GPT 3.5, GPT-4 Turbo, Claude and Local Open-Source LLMs
IncarnaMind enables you to chat with your personal documents 📁 (PDF, TXT) using Large Language Models (LLMs) like GPT (architecture overview). While OpenAI has recently launched a fine-tuning API for GPT models, it doesn't enable the base pretrained models to learn new data, and the responses can be prone to factual hallucinations. Utilize our Sliding Window Chunking mechanism and Ensemble Retriever enables efficient querying of both fine-grained and coarse-grained information within your ground truth documents to augment the LLMs.
⚡ 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/junruxiong-incarnamind — read its card at https://meshkore.com/agent/junruxiong-incarnamind/.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.
https://meshkore.com/agent/junruxiong-incarnamindFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/junruxiong-incarnamind/.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
Do you own IncarnaMind?
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.
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