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Torus

de sekhar14versión 0.4.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.sekhar14/torus

Instalar

Resumen

Descripción del creador (original en inglés)

Stock research memory for Claude: theses, sourced claims and SEC filing alerts in a local graph

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

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
  • Debes completar tú: TORUS_HOME, TORUS_TOOLSET, TORUS_CAPTURE_MODE

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿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": {
    "torus": {
      "command": "uvx",
      "args": [
        "torus-kg",
        "serve"
      ],
      "env": {
        "TORUS_HOME": "your-value",
        "TORUS_TOOLSET": "your-value",
        "TORUS_CAPTURE_MODE": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add torus --env TORUS_HOME=your-value --env TORUS_TOOLSET=your-value --env TORUS_CAPTURE_MODE=your-value -- uvx torus-kg serve

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "torus": {
      "command": "uvx",
      "args": [
        "torus-kg",
        "serve"
      ],
      "env": {
        "TORUS_HOME": "your-value",
        "TORUS_TOOLSET": "your-value",
        "TORUS_CAPTURE_MODE": "your-value"
      }
    }
  }
}

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": {
    "torus": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "torus-kg",
        "serve"
      ],
      "env": {
        "TORUS_HOME": "your-value",
        "TORUS_TOOLSET": "your-value",
        "TORUS_CAPTURE_MODE": "your-value"
      }
    }
  }
}

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.

Valores que debes completar

  • TORUS_HOME env
    Folder for the research graph and caches (default ~/.torus)
  • TORUS_TOOLSET env
    Which tools to expose: analyst hides queue and maintenance tools (default full)
  • TORUS_CAPTURE_MODE env
    How eagerly research is recorded

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 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub sekhar14, 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 7256 servidores de esta categoría
  • Publicado en el registro más recientemente que el 72% de los otros 7256 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7256 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 Torus?

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 (0.4.1) llegó al registro hace 14 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) 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:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado hoy
Instalar

Codebase Memory

de DeusData

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

Se ejecuta en tu computadora★ 48.148MITActualizado hace 20 días
Instalar

Exa

de exa-labs

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

Se ejecuta en la nube★ 5213MITActualizado el mes pasado
Instalar

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.

Torus

Stock research memory for Claude Code, Claude Desktop and Codex. Torus gives Claude a memory for your equity research. Before it answers, Claude sees what you already know about a company: your theses, the sourced facts behind them, its suppliers, customers and competitors, and the ideas you ruled out. New research builds on the old, and every new fact is saved with its source. When a new SEC filing or news story threatens a thesis, Torus warns you: on your desktop as it happens, and in a daily or weekly digest by email, Slack, Discord or ntfy.

Ask Claude *"Is NVIDIA still supply-bound?"* and it starts from what you already concluded, not from scratch. Torus keeps:

  • the companies you cover and how they connect: suppliers, customers, competitors
  • claims about them, each tied to its source (a 10-K, an earnings call, an article)
  • your investment theses: bullish or bearish, the claims they rest on, and what would break them
  • ideas you ruled out, so you don't research them again

When a 10-K, 10-Q, 8-K or news item lands, Torus works out which of your theses it touches, through which supplier or customer link, and how much it matters. It also keeps the research honest (what's gone stale, what rests on one source, what a skeptic would say) and tracks how your calls did against the market.

Built for analysts, portfolio managers and serious individual investors.

  • Your model, your subscription. Torus never calls an LLM itself. Claude does the reasoning, and cheaper Haiku subagents do the bookkeeping.
  • Local-first. Your research stays in one SQLite file under ~/.torus (override with TORUS_HOME).
  • Time-aware. Every fact records when it was true and when you believed it, so you can ask what you thought on any past date. Nothing is deleted: corrections are new versions.

*Torus is a research memory, not financial advice.* See CHANGELOG.md for what's in each release.

Pick your app

Torus works in three apps. All of them share one graph on your machine, so you can research in one and pick up in another.

Claude DesktopCodex (desktop app and CLI)Claude Code
Prior research recalled before Claude answersYes (brief, prompted by the server's instructions)Yes (brief, prompted by the server's instructions)Yes, automatically on every prompt (hook)
Sources and claims recorded while researchingYes (live capture)Yes (live capture)Yes (balanced capture, curator fills gaps)
"Torus recorded ..." receipt after each turnYesYesYes
Workflows: onboard, review alerts, challenge, memo...Prompts in the "+" menuTorus skills/torus: commands
Filing and news alerts, audit, scorecard, memos, explorerYesYesYes
Desktop notifications and the digest (they come from the watchers, not the app)YesYesYes
Background Haiku subagents (mapper, curator, challenger)No: the same steps run in the chatNo: the same steps run in the chatYes

Claude Desktop

pip install torus-kg

torus setup

The package is called torus-kg on PyPI; the command it installs is torus. torus setup asks for the email the SEC requires, downloads the SEC ticker list, adds Torus to Claude Desktop's settings (it keeps a .bak copy and leaves your other servers alone), and schedules the filing watchers. Restart Claude Desktop, then try the Onboard companies prompt from the "+" menu with a few tickers.

Codex

The same two commands. torus setup adds [mcp_servers.torus] to ~/.codex/config.toml (or $CODEX_HOME) and installs the Torus skills (torus-research, torus-onboard, torus-review and so on) under ~/.codex/skills. If you already wrote a [mcp_servers.torus] entry yourself, setup leaves it as it is. Restart Codex, then ask it to onboard your tickers.

Claude Code

See Getting started below. torus setup also prints the two /plugin commands.

torus setup configures the apps it finds; pass --claude-desktop or --codex to configure one anyway, or --no-codex / --no-claude-desktop to skip one. torus doctor checks each app's entry and that the server starts, and torus doctor --fix repairs what it can.

Just looking? torus demo builds a small sample graph (NVIDIA, TSMC, Micron and AMD theses, an alert from a TSMC filing, the semis starter pack) in its own folder, TORUS_HOME/demo, and opens it in the explorer. Your own graph is untouched, and every piece of sample research is marked [demo].

How it works

Why this helps. Research done in chat is usually thrown away: the next session starts from scratch, and nothing connects new information to what you already concluded. Torus keeps the working parts of the research, not just the final report:

Without TorusWith Torus
Every session re-reads the same filings and rediscovers the same factsEach session starts from earlier theses, claims and ruled-out ideas
A new tool starts empty, so it's useless for weeks/torus:onboard maps your companies' suppliers, customers and competitors from their 10-Ks in minutes
A report says "TSMC capacity is the constraint", but not where that came fromEvery claim links to its source, with a verbatim quote, a confidence and the date it was true
A TSMC filing arrives and nobody notices that it undermines your NVIDIA viewImpact analysis follows supplier and customer links and raises an alert on that thesis
Every routine filing pings you, so you stop lookingAlerts weigh what kind of event it is and whether it matches what you said would break the thesis
The changes in a 150-page 10-K are buriedTorus lists the new, dropped and reworded risk-factor sentences since the last filing
Old conclusions get overwritten, and wrong ones lingerEvery change is versioned; the audit flags what's stale or thinly sourced; undo keeps history
Dead ends get explored againRuled-out ideas are recalled alongside the theses
Nobody checks whether high-conviction calls were actually rightThe scorecard tracks each thesis against its stock and measures your calibration

Getting started (about 5 minutes)

You need Python 3.11+ and Claude Code.

1. Install the `torus` command. The plugin's hooks and MCP server run it, so this step is required:

pip install torus-kg

2. Set it up:

torus init --refresh-reference --contact you@example.com   # SEC ticker list (the SEC asks for an email)

torus config set sec_contact you@example.com # used when reading and watching filings torus doctor # check that everything is in order

3. Add the plugin in Claude Code:

/plugin marketplace add sekhar14/torus

/plugin install torus@torus

You'll be asked for a capture mode:

ModeWhat Claude records while researchingThe curator (Haiku) records later
balanced (default)theses, key claims with sources, ideas ruled outsupporting claims, extra sources, links
liveeverythinganything missed
curatortheses and ideas ruled outeverything else

4. Tell Torus what you cover (recommended). In Claude Code:

/torus:onboard NVDA AMD TSM AVGO

or from a portfolio or watchlist export: torus onboard --file portfolio.csv (any CSV with a ticker or symbol column), then /torus:onboard to finish the mapping. Torus adds the companies, watches their SEC filings, suggests matching starter packs, and a Haiku subagent maps each company's suppliers, customers, competitors and customer concentration from its latest annual report, citing the filing.

5. Keep the watchers running:

torus schedule install    # checks filings, news and prices every hour

This uses Task Scheduler on Windows, launchd on macOS and cron on Linux.

6. Research as usual, e.g. *"Is NVIDIA still supply-bound? Check TSMC's CoWoS plans."* The next time you mention NVIDIA, Claude sees the earlier thesis, claims and ruled-out ideas before it starts. After each turn Torus tells you what it recorded (*"Torus recorded 1 thesis, 3 claims and 2 sources this turn"*), and /torus:undo reverts anything you don't want.

What you can ask

You don't need to remember commands; ask in plain words and Claude uses the right Torus tools.

You sayWhat happens
"Is NVIDIA still supply-bound?"Claude starts from your earlier NVIDIA research, then records new claims, sources and the updated thesis
"What changed in TSMC's latest 20-F risk factors?"Torus lists the new, dropped and reworded sentences against last year's filing
"Add this earnings call transcript to Torus"The transcript becomes sourced claims linked to the theses it bears on
"Any news that affects my theses?"Open alerts, each with the path that explains it, judged one thesis at a time
"What happened this week?"The digest: new alerts by thesis, status and confidence changes, theses coming due, scorecard moves
"What happens to my theses if TSMC's Arizona fab is delayed a year?"Every thesis the event would reach, through which links, and the likely direction
"Poke holes in my Micron thesis"A skeptic subagent researches the counter-case; you approve any risks it proposes
"Is my research still current?"The audit: expired assumptions, theses past their horizon, single-source claims, conflicts
"How have my calls done?"Returns against SPY in each thesis's direction, outcomes, and how calibrated your confidence is
"Write up my NVIDIA thesis to share"A memo with every claim traced to its source
"Undo what you just recorded about AMD"Those records are retracted or archived; history keeps them

Commands in Claude Code

CommandWhat it does
/torus:onboardStart covering companies: watch them, seed starter packs, map their links from 10-Ks
/torus:statusTheses at risk, open alerts, recent changes, graph health
/torus:reviewJudge open alerts: did the event support, weaken or break the thesis?
/torus:ingestRead a filing, transcript, PDF or page into sourced claims; or what changed since the last filing
/torus:whatifWhich theses would a hypothetical event reach, and how? Records nothing
/torus:challengeA devil's-advocate subagent stress-tests a thesis and proposes risks and triggers
/torus:auditFind expired, thinly sourced or conflicting research and theses past their horizon
/torus:scorecardHow your theses did against a benchmark, and whether your confidence is calibrated
/torus:memoWrite a thesis up as a sourced memo (Markdown and HTML)
/torus:undoSee what recent sessions recorded and revert any of it
/torus:distillHave the Haiku curator add past sessions' findings to the graph
/torus:exploreOpen the visual graph explorer

Behind them, the MCP server gives Claude 45 tools, from brief, recall and record_claim to filing_diff, whatif, digest and scorecard. Claude Desktop and Codex see 33 of them by default (the analyst toolset): the queue and low-level graph tools are hidden. Se

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

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