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Limpet

von KSym04Version 0.17.0i★ –i–
Name in der Registryio.github.KSym04/limpet

Installieren

Überblick

Beschreibung vom Entwickler (englisches Original)

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

Die drei Säulen von PopNx MCP

Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

  • Verbindung: –
  • Transport:
  • Kategorie: Suche & KI-Gedächtnis

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Bevor du installierst

  • Basischecks: 1 von 1 bestanden
  • Läuft auf deinem Computer mit den Rechten deines Benutzerkontos (Dateien, Netzwerk, Apps).
  • Die Registry nennt keinen Schlüssel zum Eintragen.

Der Entwickler hat in der Registry keine Installationsangaben gemacht. Sieh dir unten die README des Entwicklers an.

Was er kann

Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde mit dem GitHub-Konto KSym04 bestätigt, dem das Repo gehört

  • … Noch nicht geprüft

    Wird noch gepflegt

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • … Noch nicht geprüft

    Hat eine Lizenz

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • – Nicht zutreffend

    Endpunkt antwortet

    Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet

  • – Nicht zutreffend

    Anmeldung mit OAuth

    Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen

  • … Noch nicht geprüft

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen

Im Vergleich mit anderen in Suche & KI-Gedächtnisi

  • Mehr Sterne als 0 % der anderen 7251 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 40 % der anderen 7251 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 7251 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Häufige Fragen

Ist Limpet sicher?

Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.

Welche Schlüssel oder Codes braucht er?

Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.

Läuft er auf meinem Computer oder in der Cloud?

Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.17.0) kam vor 2 Monaten in die Registry.

Welche Apps können ihn nutzen?

Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code.

Was kann ich stattdessen nutzen?

In derselben Kategorie: Context7, Codebase Memory, Exa

Alternativen

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

Context7

von upstash

Up-to-date docs for AI agents

Computer oder Cloud★ 64.224MITAktualisiert heute
Installieren

Codebase Memory

von DeusData

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

Läuft auf deinem Computer★ 48.148MITAktualisiert vor 20 Tagen
Installieren

Exa

von exa-labs

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

Läuft in der Cloud★ 5.213MITAktualisiert letzten Monat
Installieren

README vom Entwickler

README öffnen

Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.

🐚 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,

Nur der Anfang wird gezeigt; den Rest findest du im Repo

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