membukkit
Long-term memory for LLM apps that shows its work: dated facts, as-of answers, supersession, and receipts on every answer. Library, CLI, local GUI, MCP.
MemBukkit is long-term memory for LLM apps that shows its work. It turns conversations and documents into dated atomic facts. When something changes (new rent, new job), the old fact is superseded, not deleted, so you can ask "what was true in May?" and get May's answer. Every answer ships with receipts: the facts used, where they came from, what the query cost. It sets the state of the art on LongMemEval-S under the benchmark's official judge, 92.6%, while reading a small fraction of the tokens full-context reading pays. Python, CLI, local GUI, HTTP, and MCP, all over the same stores.
⚡ 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/memseekai-membukkit — read its card at https://meshkore.com/agent/memseekai-membukkit/.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/memseekai-membukkitFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/memseekai-membukkit/.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 membukkit?
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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