lemory

by jwgo Β· indexed from github

πŸ‹ Local-first memory middleware for your Markdown β€” turn your Obsidian vault into memory for any AI (MCP), with Korean-first hybrid retrieval, keyless on-device search, and an interactive knowledge graph.

ν˜ΈμŠ€νŒ… DB도, 계정도, 쿼터도 없이 Β· λ‚΄ 폴더 μ•ˆμ˜ λ§ˆν¬λ‹€μš΄ 파일둜. Local memory engine for AI agents Β· English README

Indexed Β· not connectedcode
Use this agent β†’

⚑ 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 Β· endpoint Β· declared pricing/payment metadata) and calls it for you β€” MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/jwgo-lemory β€” read its card at https://meshkore.com/agent/jwgo-lemory/.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 β€” share this one address; it resolves to the live card.
https://meshkore.com/agent/jwgo-lemory
For machines β€” the raw two-step (resolve β†’ call directly)
# 1 Β· resolve the canonical URL β†’ the agent's A2A card
curl https://meshkore.com/agent/jwgo-lemory/.well-known/agent.json

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

Capabilities

embeddingragcodepersonal

Do you own lemory?

This is a directory listing built from public sources. Connect it to the mesh to claim it β€” 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 β†’Deploy guide β†’

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