Zum Hauptinhalt springen
tsecurity.de LIVE
Echtzeit-Radar & Feeds
Alle RSS Feeds
👥 Community & Social
Sichere ProgrammierungWhy Claude Code keeps writing shell commands that fail on your Mac(20.09.2026 um 21:06 Uhr)
Sichere Programmierungllms.txt v2: What the Spec Says, and What 137,000 Domains Show(20.09.2026 um 21:17 Uhr)
Sicherheitslücken (CVE)NiceTryGPT: Less pattern matching. More actual hacking.(20.09.2026 um 21:19 Uhr)
IT Security VideoActivities BoF (kde2026)(20.09.2026 um 00:00 Uhr)
IT Security Toolsirdoc-app(20.09.2026 um 20:33 Uhr)
Sichere ProgrammierungWhy Claude Code keeps writing shell commands that fail on your Mac(20.09.2026 um 21:06 Uhr)
Sichere Programmierungllms.txt v2: What the Spec Says, and What 137,000 Domains Show(20.09.2026 um 21:17 Uhr)
Sicherheitslücken (CVE)NiceTryGPT: Less pattern matching. More actual hacking.(20.09.2026 um 21:19 Uhr)
IT Security VideoActivities BoF (kde2026)(20.09.2026 um 00:00 Uhr)
IT Security Toolsirdoc-app(20.09.2026 um 20:33 Uhr)
Intelligence View
⚡ tsecurity.de Intelligence

I built an MCP server that gives AI coding assistants persistent memory (85.6% token reduction)

Reagiere als Erste:r — dein Feedback zählt!

Every time you start a new Claude Code session, your AI has zero context about what you were working on. Same with Cursor, Cline, Windsurf. You spend the first few minutes re-explaining the codebase, the decisions you made, where you left off. It's annoying.

I got tired of it and built something to fix it.

What it does

sessionmem is a local-first MCP server that watches your coding sessions and auto-injects a compact summary at the start of each new one. Your AI instantly knows what you were working on, what decisions were made, and what's next.

The compression is aggressive. Instead of feeding the full conversation history into context (expensive, often impossible due to token limits), sessionmem distills sessions down to just the key facts. In testing we're seeing 85.6% token reduction compared to keeping full history.

Everything is stored in SQLite at ~/.sessionmem/memories.db. No cloud, no account, no API keys, no config files to mess with.

Works with everything MCP-compatible

  • Claude Code
  • Cursor
  • Cline
  • Windsurf
  • Any other MCP host

Getting started

Install in 30 seconds:

npx sessionmem

Then add to your MCP config:

{
  "mcpServers": {
    "sessionmem": {
      "command": "npx",
      "args": ["-y", "sessionmem"]
    }
  }
}

That's it. sessionmem starts watching your sessions immediately and builds up memory over time.

Why local-first

Your code is sensitive. Your thought process, architecture decisions, and in-progress work shouldn't be sent to a third-party service.

SQLite is fast and zero-dependency. Works offline, no daemon to manage, no Docker.

You own your data. The database file is right there at ~/.sessionmem/memories.db - readable, deletable, no lock-in.

How the memory works

After each session, sessionmem generates a compact summary capturing: what you were building, key decisions made, files touched, and what's left to do. Next time you start a session, this gets injected automatically before you type anything.

The summaries get better at capturing what matters in your specific workflow over time.

Links

Would love feedback if you try it out - especially on whether the right context is being captured in the summaries.

Ähnliche Beiträge
🔍 Verwandte News

Auch interessante Nachrichten I built an MCP server that gives AI coding assistants persistent memory (85.6% token reduction)

Thematisch verwandte Begriffe: built, server, that, gives · 6 Treffer

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Zum Aktualisieren ziehen
ZERO-DAY CVE-2026-93956 | A flaw has been found in olivier-ls PHP-FTS up to 1.1.2. Affected by thi…
Advisory →
TTS Reader • tsecurity.de Voice
tsecurity.de Icon
tsecurity.de App
Offline-Lesen, Eilmeldungen & 0ms Ladezeit

Installiere tsecurity.de direkt auf deinen Home-Bildschirm für das ultimative Vollbild-Magazinerlebnis ohne Browser-Leisten.

Nächster Beitrag
Themen-Radar & Intelligence Matrix
Echtzeit-Taxonomie nach Angriffsvektoren & Plattformen

tsecurity.de Live Threat Radar

🔴 LIVE RADAR
MONITORING
AKTIV
CVE-DATENBANK
LIVE
🔍
Community Radar & Live Chat
Sentinel Bot online • Live-Stream
Dein Cluster: Security Explorer
Match:
lädt…
Verbindung zum Community-Stream wird aufgebaut...
Bearbeitungsmodus — Senden überschreibt deine Nachricht
Community-Puls — was gerade passiert
lädt…
Aktivitäten deiner Analysten
lädt…
Neues Thema oder Eilmeldung einreichen

Reiche interessante Links, Zero-Days oder Debatten ein. Die Community entscheidet per Upvote über die Veröffentlichung.

Heiß diskutierte Einreichungen
🔖 Gespeicherte Artikel
📂 Keine gespeicherten Artikel vorhanden.
Zurück Ziehen Vor
Links: vorheriger Artikel Rechts: nächster Artikel unten: schließen
News NIS-2 Frühwarnung Tier-1 Intel ⏱️ 3 Min vor 10 Min
Artikeldaten werden geladen...

Zurück: vorheriger Vor: nächster
↗ Original-Quelle
Social Reaktionen Deine Reaktion zählt
Einstufung & Relevanz-Poll 0 Stimmen
In sozialen Netzwerken teilen 1-Klick