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Glama
medelin

zahadun

by medelin
OverviewSchemaSourceRelated ServersScoreDiscussionsAdmin
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
zahadun_peersC

Kto jest w siatce zahadun i co umie (z AgentCards).

zahadun_askA

Zleca zadanie peerowi w siatce. Zwraca identyfikator zadania - wynik odbierz przez zahadun_task. temat to contextId (UUID) wspolny dla sesji na obu maszynach; pominiety - zostanie wygenerowany.

zahadun_taskA

Odbior wyniku lub statusu zadania. id w formacie 'peer:taskId' (tak jak zwrocil zahadun_ask).

zahadun_modelsA

Zywy katalog modeli toru opencode wraz z cenami (z lokalnego serwera OpenCode). Model spoza katalogu jest bledem, nigdy cichym podstawieniem.

zahadun_memory_searchA

Przeszukuje pamiec mesh po tresci (ripgrep po katalogu toru).

zahadun_memory_readC

Odczyt tematu (po contextId) albo wpisu wspolnego (po slugu).

zahadun_memory_writeA

Zapis do pamieci mesh. temat to contextId biezacego tematu albo slug wiedzy ponad tematami (wtedy ustaw wspolne=true). Tworzy nowy plik - nigdy nie nadpisuje cudzych wpisow.

zahadun_memory_topicsC

Lista tematow i wpisow wspolnych w pamieci mesh.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources