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

Limpet

de KSym04versión 0.17.0i★ –i–
Nombre en el registroio.github.KSym04/limpet

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Resumen

Descripción del creador (original en inglés)

Persistent engineering memory for AI coding agents. Survives refactors, knows when it is stale.

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: –
  • Transporte:
  • Categoría: Búsqueda y memoria de IA

Instalación

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

Antes de instalar

El creador no incluyó detalles de instalación en el registro. Consulta el README del creador más abajo.

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 KSym04, 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 7259 servidores de esta categoría
  • Publicado en el registro más recientemente que el 40% de los otros 7259 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7259 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 Limpet?

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 (0.17.0) llegó al registro hace 2 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code.

¿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.

🐚 limpet

small shell. long memory.

Memory for AI coding agents that goes stale when your code does. Everything your agent learns about a codebase (decisions, verified facts, failed approaches, gotchas) survives every session, anchored to the actual code it describes, and flips to stale with the reason attached the moment that code moves on. One Rust binary, one SQLite file, standard MCP, zero network calls.

the anchor lifecycle, real output: recall answers instantly, an edit flips the memory stale, a revert heals it

The failure mode that kills AI coding assistants is not forgetting; it is remembering something that is no longer true. Vector stores trust similarity, time-decay tools trust the calendar, markdown notes trust forever, so an agent that still believes last month's version of a function is not unhelpful, it is confidently wrong. limpet anchors each memory to a normalized AST hash of the code it describes: rename or move the code and the memory follows, edit it and the memory goes visibly stale with a reason, revert and it heals. Noticing its own staleness is the entire premise, and no other open memory layer does it.

⏱️ 30 seconds to running

curl -fsSL https://raw.githubusercontent.com/KSym04/limpet/main/install.sh | bash

(Windows: irm https://raw.githubusercontent.com/KSym04/limpet/main/install.ps1 | iex; full install options below.)

Restart Claude Code, type /limpet in any project, and just work:

session 1: "the scanner batch size is 50 because shared hosts kill long requests" → stored as a decision, anchored to the function that uses it

session 30, fresh context: *you:* why is the batch size 50? → *agent:* one recall, ~350 tokens, full answer. No file spelunking, no re-teaching your own codebase.

you edit that function → the memory flips to stale: body_edited everywhere it appears. Nothing ever pretends to be current when it is not.

🎯 Why limpet, in four checkable claims

  • It knows when it is wrong. Memories anchor to AST hashes, follow renames and file moves, go stale on real edits with the reason attached, and heal on revert. → the anchor lifecycle
  • It shows you what it saved. Every recall is priced against the file reads it replaced: 4.2x fewer tokens on the benchmark, and a live per-project ledger via limpet stats. → the receipts
  • It anchors the whole repository. Eleven grammars for symbol-level anchoring; every other file (templates, styles, configs) anchorable at file level. → whole repo indexed
  • It never lies by omission. Every response carries an honesty envelope: matched vs returned, what was dropped and why, how fresh the index is, how much is stale. The benchmark gate has killed limpet's own features when they crossed that line.

It is not a vector database, a code-search engine, or a call-graph oracle; it is the layer that remembers *why*, tied to the code, and tells you when the why no longer holds. → what limpet is not · design principles with the scars that earned them: PHILOSOPHY.md

🧠 Why this exists

Code indexers answer "what is where". The expensive knowledge is not in any file:

  • why the batch size is 50
  • which refactor was tried and rolled back, and what broke
  • which method names are frozen because customers hook them
  • what that weird cron job actually protects against

Agents re-derive or re-ask this every session, burning tokens, or worse, they guess. limpet gives that knowledge the same lifecycle engineers give it:

valid -> code changed -> stale (reason attached, confidence drops) -> re-verified or superseded

Three properties make it work, and nobody else combines them: anchored (AST body hashes, not line numbers or paths), honest (the envelope on every response; nothing truncates silently), evidenced (a fact can carry the command that proved it, and hands it back when the anchor goes stale).

👥 Who is this for

You arelimpet gives you
Solo dev with an AI agentThe first session spends tens of thousands of tokens learning your codebase; afterward it is one recall away. Survives /clear, compaction, new machines.
A teamadmin export writes .limpet/memory.jsonl for git; teammates import after pulling. Onboarding knowledge travels with the repo and, unlike a wiki, flags itself when the code moves on. affected shows which documented decisions a diff just put at risk.
Template-heavy stack (Rails, Laravel, Vue, any CMS theme)Every file is anchorable, so "this layout is locked to 480px" pins to the actual stylesheet and goes stale when someone edits it, exactly what symbol-only indexers cannot reach.
Open-source maintainerintent/decision memories answer "why is this weird code here" before the PR that "fixes" it lands; episode memories stop the third contributor from re-attempting the refactor that already broke twice.
Agent builderA model-agnostic memory backend behind standard MCP: one binary, zero network, inspectable SQLite. Nothing to explain to a security review.

Who should skip it: throwaway scripts, repos you touch once, teams that do not use AI agents. Memory pays off only when questions repeat.

🧰 The six tools

ToolWhat it does
recallTask description in, token-budgeted ranked memory pack out. Stale and contradicted items are always flagged, never hidden. Verified facts outrank unverified claims at equal relevance; an item without a source field is an unverified claim, not a proof.
rememberStore a memory: fact, decision, episode, insight, or intent. Anchor it to code. Attach evidence to make it verified. A near-identical body on the same anchor is refused (naming the existing id to supersede; force: true overrides), and a same-anchor memory asserting a divergent value comes back as possible_conflicts so contradictions are caught at write time. private: true keeps a memory local (recalled here, withheld from export); origin makes writes idempotent for seeding flows.
mapStructural outline of a file or symbol plus every memory attached to it. For a symbol target it also returns lineage (ancestors, descendants, callers) with each edge labeled unique/ambiguous/unresolved. Code and knowledge in one answer.
affectedWhat does my uncommitted diff touch: symbols, memories now at risk, and decisions constraining the code being edited.
verify_queueVerified facts whose anchored code changed, each with the exact command that originally proved it. Re-run the command and hand the result to admin {op:"reverify"}: the queue is no longer a dead end.
adminindex, status, forget, archive / restore, export / import (guarded), ledger / ledger_reset (the savings receipt), reverify, consolidate. Archive shelves a memory without deleting it: hidden from recall while its staleness keeps tracking the code, restored with its current truthful status, and still exported (flagged) so nothing hidden is ever lost. Export reports private_withheld so callers know how many memories stayed local. Reverify closes the verification loop: fresh evidence for a stale verified fact re-stamps its digest, re-binds its anchors to the current code, restores the full verified confidence, and returns it to active; it refuses rather than guesses when an anchor no longer resolves. Consolidate lists clusters of same-anchor, high-overlap memories worth distilling into one entry (via remember + supersedes links); it never merges anything itself.

Every response is wrapped in the honesty envelope:

{

"data": [ ... ], "meta": { "freshness": { "indexed_at": "2026-07-03T10:12:44Z", "dirty": 0 }, "completeness": { "matched": 7, "returned": 3, "omitted_reason": "budget" }, "staleness": { "stale": 1, "contradicted": 0 } } }

A recalled item also names the significant task terms found verbatim in its body ("matched": "sweep anchored", capped at three, in task order), so why an item surfaced is inspectable without re-reading it. The field is absent when no significant task term appears whole in the body: the item then reached the pack through anchor proximity, a stopword-only hit, or a stemmed or partial text match instead.

⚓ The anchor lifecycle

code change            anchor resolution         memory becomes

reformat / comments same normalized AST hash active (untouched) rename symbol body found under new FQN active, anchor follows move file body found in new file active, anchor follows edit function body hash differs at FQN stale (body_edited), conf drops delete symbol body found nowhere invalidated (kept as history) duplicate bodies multiple matches stale (ambiguous_anchor) edit anchored file file content hash differs stale (file_edited), conf drops delete anchored file file row gone invalidated (kept as history) lose SOME anchors others still resolve stale (anchor_lost), never killed move a trivial body unique match, too small stale (low_entropy), never re-pointed

A multi-anchor memory dies only when every anchor dies. Losing one anchor while others still resolve degrades it to stale:anchor_lost so the surviving knowledge stays usable. And remember refuses an anchor it cannot resolve, loudly, at write time: no memory is ever born dead.

Twins (trait impls, overloads, accessor pairs) share one FQN, so a symbol spec takes an optional @ suffix naming the exact one, spelled as the source writes it, whitespace forgiven (f@(int a, String b) and the canonicalized stored form are one spelling): the Rust trait path (impl for an inherent impl), the Go receiver type (func for a package function), the Ruby receiver (self., <<self., # for an instance method), and the parameter list for C++, Java, C#, Python and JS/TS, generic arity and JS/TS static included. An ambiguous spec is refused with the exact typeable forms listed.

symbol: "go"      → refused: matches t.T.go@A, t.T.go@B, t.T.go@impl

symbol: "go@A" → anchors to the A impl's body, and only that one symbol: "go@impl" → anchors to the inherent impl, and only that one symbol: "x@" → anchors to a twin that carries no discriminator at all (a type sharing its name with a method, say)

Rename-following is evidence-gated: a unique match on a trivial body (an empty function, a bare delegation stub, a near-empty file) is refused as follow evidence and surfaces as stale:low_entropy instead of silently re-pointing the anchor at a look-alike twin, and it heals the moment the original code returns.

Healing is confidence-neutral: going stale charges a confidence penalty once, and the pre-stale value is stored beside it, so when the reason evaporates (a branch switch back, a revert, a stash pop) the penalty is refunded in full. Decay is per reason,

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

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