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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

supragnosis

de Ashonversión 0.11.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.Ashon/supragnosis

Instalar

Resumen

Descripción del creador (original en inglés)

Memory for AI agents that remembers who said it.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Búsqueda y memoria de IA

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "supragnosis": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ashon/supragnosis:0.11.0",
        "serve"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add supragnosis -- docker run -i --rm ghcr.io/ashon/supragnosis:0.11.0 serve

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "supragnosis": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ashon/supragnosis:0.11.0",
        "serve"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "supragnosis": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ashon/supragnosis:0.11.0",
        "serve"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub Ashon, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 5688 servidores de esta categoría
  • Publicado en el registro más recientemente que el 79% de los otros 5688 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 5688 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro supragnosis?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.11.0) llegó al registro hace 11 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Context7

Up-to-date docs for AI agents

de upstashMuy usado↓ 972,7 mil/sem★ 64,2 milActualizado anteayer

Computadora o nube

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

de DeusDataMuy usado↓ 18 mil/sem★ 48,1 milActualizado hace 22 días

Se ejecuta en tu computadora

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

de exa-labsEn crecimiento★ 5,2 milActualizado hace 2 meses

Se ejecuta en la nube✓ exa.ai

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

supragnosis

Agent memory you can cross-examine.

Shared project memory for coding agents, with receipts. supragnosis is a local MCP server for Claude Code, Codex, Cursor and other MCP clients. Your agents record what they learn as they work, and every claim keeps who asserted it, on whose behalf, on what basis, and how far this node trusts it. Claims that contradict each other stay side by side for you to settle, instead of the later one overwriting the earlier.

It is built for a small team that wants one project's memory on each of its machines and shared with teammates, without a vendor cloud: one binary, an embedded store, and no account. A workspace leaves your machine only when you list it.

supragnosis = supra (above) + gnosis (knowing) - knowledge about knowledge.

The problem it solves

Most agent memory answers *what was remembered*. It does not answer *who said so*.

That is fine for a single assistant remembering one user's preferences. It stops being fine the moment two agents, two machines, or two people write into the same memory:

  • Two agents assert opposite facts. Last write wins, and the disagreement is gone.
  • An agent summarizes a poisoned document into memory. Nothing records where it came from, so nothing can trace what else that summary contaminated.
  • You want to share project knowledge with a teammate but not your private notes. There is no boundary to draw, because the store has no concept of whose knowledge this is.
  • A credential ends up in the log. There is no way to find it and no way to get it out.

supragnosis treats an assertion and a fact as different things. What is stored is never "X is true" but "host H, at time T, on the basis of S, asserted X". The current belief is computed from those assertions by a policy you can replace, so changing your mind about how to resolve conflicts means recomputing, not rewriting.

What that buys you

Provenance on every claimacting host, principal on whose behalf, workspace, source, observation time, confidence, and a trust tier the receiving node computes rather than accepts
Conflicts stay visiblecontradictory assertions coexist and surface for mediation instead of one silently overwriting the other
Nothing is destroyedthe observation log is append-only and content-addressed. A correction is a new observation; a merge can be un-merged
A gate before the canonentity merges, trust promotions, and schema changes go through a proposal with a computed diff of what the verdict would overturn
Sharing is opt-ina workspace leaves the node only if you list it. Peers are authorized per workspace, on the sync path and the query path alike
Secrets do not entercredential-shaped text is refused at ingest, not rewritten, because an append-only log that has replicated cannot take it back
Local-first, no cloudone binary, an embedded pure-Rust store, no account, no network unless you configure a peer

Quick start

brew tap ashon/tap

brew install supragnosis-server supragnosis service install # MCP on :7373 + local viewer, now and at every login supragnosis connect claude-code # or claude-desktop, cursor, vscode, codex, gemini, opencode

supragnosis connect with no app lists them and says how each one is connected. It registers supragnosis bridge with the app: a stdio server that relays to the daemon and reads the daemon's bearer token from ~/.supragnosis/mcp.token (mode 0600) itself, so no app's settings hold a copy. That also reaches Claude Desktop, which takes local servers over stdio only. A client that wants a URL instead can use http://127.0.0.1:7373/mcp with that token; supragnosis status prints the command, reading the token from its file rather than printing it.

With Claude Code, connect also registers a hook, so the memory fills without being asked: after a commit the agent made, it is asked for the decision behind the change that the diff does not show, and a session starts knowing what the project's workspace holds here. --no-capture leaves the hook out; the hook never writes anything itself (docs/client-connect.md Section 12).

With the desktop app (brew install --cask supragnosis), its Settings page (Settings... in the tray, or Cmd+,) does both without a terminal: Start at Login keeps the daemon running, and AI apps connects Claude Desktop, Claude Code and the others with a click. After brew upgrade, supragnosis restart loads the new binary - until then supragnosis status and the tray say the daemon is running the old one.

Not on Homebrew:

curl -fsSL https://supragnosis.dev/install.sh | sh    # ~/.local/bin, checksum-verified

supragnosis service install # macOS; Linux: deploy/systemd supragnosis connect claude-code

Retrieval is semantic as well as keyword: a local embedding model (multilingual, 224 MB, no API calls) that service install fetches once into ~/.supragnosis/models, or supragnosis embed fetch does by hand. Until it is there, retrieval is keyword only and supragnosis status says so. The daemon holds about 1 GB once a tool call has loaded the model; SUPRAGNOSIS_EMBED=none keeps it keyword only and small (docs/semantic-retrieval.md).

Removing it takes the daemon off login, disconnects each AI app and deletes the binary, and leaves the knowledge in ~/.supragnosis unless you remove that too (deploy/README.md, Operations).

Your first minute

Ask the agent to remember something, in whatever words you would use:

you: remember that auth in this repo is JWT with a 15-minute expiry, decided because the

mobile client cannot hold a session cookie

The agent calls observe. What lands is not the sentence - it is an observation carrying the entities it names, the relations between them, and who said it:

observed  "auth in this repo is JWT with a 15-minute expiry..."

entities JWT [AuthMechanism], mobile client [Component] relations repo --uses--> JWT, JWT --constrained_by--> mobile client provenance host=your-laptop on_behalf_of=you tier=agent_extracted

Later, in a different session, with none of that in the context window:

you: how does auth work here?

agent: JWT with a 15-minute expiry. That came from you directly rather than from reading the

code, and the stated reason was that the mobile client cannot hold a session cookie.

The second half of that answer is the point. A search hit is the id of what matched, and that id leads to the provenance: get_entity lists every attestation behind an entity, and the observation it came from (supragnosis://observation/{id}) has the original text and who said it, for whom and when. So the agent can tell you *who said it and how sure to be*, and you can read it yourself.

The viewer runs alongside the daemon on a unix socket - the desktop app opens it, or read it directly:

curl -s --unix-socket ~/.supragnosis/viz.sock http://localhost/api/graph

Watching it while an agent works is the part that is hard to convey in text:

What the agent gets

13 MCP tools, each one recurring intent:

  • observe - free text plus optional structured assertions. No schema required up front.
  • search_knowledge - keyword retrieval (every term, any order) plus semantic, labelled with the mode it used.
  • get_entity, traverse - exact lookup and bounded graph walks.
  • workspace_map - co-occurrence hyperedges: what tends to get said together.
  • define_type - promote a pattern into the workspace glossary.
  • propose, review, list_proposals, get_proposal - the gate to the canon.
  • sync_status, sync_pull, sync_push - federation.

Plus dereferenceable resources: supragnosis://workspaces, supragnosis://workspace/{ws}/graph, supragnosis://workspace/{ws}/hypergraph, supragnosis://workspace/{ws}/types, supragnosis://observation/{id}.

What you get

Four MCP prompts, which a client offers as commands (in Claude Code, /mcp__supragnosis__brief):

  • brief - what a workspace's knowledge says now: its themes, what is contested, what rests on a single agent claim, and what is waiting on your decision.
  • what-do-we-know-about - what the store holds on one topic, with sources, and what it does not.
  • curate - the model drafts proposals for the tidy-ups the curation signals point at.
  • review-proposal - a first-pass review of one proposal: what merging it would change, and a recommendation.

Your model writes the brief from current state and nothing is stored. A judgment worth keeping becomes a proposal, and you cast the verdict in the app's Review panel. The canon is what remains, and the next brief reads it. See docs/prompts.md.

How it works

Three ideas, and everything else follows from them.

Event sourcing. Immutable, content-addressed observations are the source of truth. The entity and relation graph is a projection you can throw away and rebuild by replaying the log. Changing the resolution policy is a re-projection, not a migration.

Topology-independent convergence. Nodes holding the same set of observations materialize the same graph, no matter which path events took or in what order they arrived. Content addressing dedups, hybrid logical clocks order, and the projection is a deterministic fold. Local-only, hub-and-spoke, direct peer, or a mix: the topology is an operational choice, not a semantic one.

Hexagonal ports. The domain crate has zero IO dependencies. Store, embedder, and transport sit behind ports held to one conformance suite. This is not an aspiration: a third store adapter was added and the original backend deleted, a different query paradigm and a different storage engine, without changing a line of core or engine.

Documentation

architecture.mdwhat is built, how, and Section 14: the honest record of what is not
principles.mdthe normative document. Every design decision is justified against it
federation.mdnode identity, the sync protocol, trust evaluation
proposal-workflow.mdthe gate to the canon
resolution.mdhow assertions become a current belief
excision.mdthe one act that removes knowledge, and why it is last
consolidation.mdhow a workspace stays tidy without anything being deleted
CONTRIBUTING.mdhow to build, test, and send a change

Status

Working today: hybrid retrieval, belief resolution with contested claims surfaced, identity resolution with an entity merge gate that can be reversed, hub-and-spoke log replication with ed25519-signed events over TLS, and a live viewer.

Not yet: bitemporal time-travel queries, multi-principal governance, retrieval demotion and idle consolidation, and automatic type induction.

That second l

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx