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Verwaltetes Langzeitgedächtnis für LangGraph-Agenten mit LangMe…

Statten Sie LangGraph-Agenten mit Speicherverwaltungs- und Suchwerkzeugen aus, damit sie dauerhafte Fakten über Sitzungen hinweg speichern, abrufen und aktualisieren können.

Was ist Verwaltetes Langzeitgedächtnis für LangGraph-Agenten mit LangMe…?

Diese Fähigkeit ermöglicht es Entwicklern, LangGraph-Agenten mit einem verwalteten Langzeitgedächtnis auszustatten, indem die LangMem-Bibliothek integriert wird. Sie bietet spezielle Werkzeuge, die es Agenten erlauben, dauerhafte Fakten zu speichern, zu durchsuchen und zu aktualisieren – und das über verschiedene Sitzungen hinweg. Dies ist besonders nützlich für Konversationsagenten, persönliche Assistenten oder beliebige KI-Workflows, die sich an Benutzerpräferenzen, historische Daten oder projektbezogene Details erinnern müssen. Die Fähigkeit basiert auf der LangMem-Bibliothek und ist vollständig kompatibel mit LangGraph- und LangChain-Agenten-Laufzeiten. Für die Produktion wird ein persistenter Speicher wie Postgres empfohlen. Die Einrichtung ist unkompliziert: Nach der Installation der Bibliothek und der Konfiguration eines LLM-Provider-API-Schlüssels (z. B. Anthropic) kann die Gedächtnisverwaltung mit nur wenigen Codezeilen aktiviert werden. Vollständige Dokumentation und Quellcode sind über die offiziellen Links verfügbar.

Funktioniert mit✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/add-managed-long-term-memory-to-langgraph-agents-with-langmem
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Dokumentation

Verwaltetes Langzeitgedächtnis für LangGraph-Agenten mit LangMem hinzufügen

Statten Sie LangGraph-Agenten mit Speicherverwaltungs- und Suchwerkzeugen aus, damit sie dauerhafte Fakten über Sitzungen hinweg speichern, abrufen und aktualisieren können.

Voraussetzungen

Python, langmem, LangGraph- oder LangChain-Agenten-Laufzeit, persistenter Speicher wie Postgres für die Produktion, API-Schlüssel für den LLM-Provider

Installation

Verwenden Sie den für Ihre Umgebung passenden Installations- oder Einrichtungspfad:

  • pip install -U langmem

Anforderungen und Hinweise aus dem Upstream:

  • python

Grundlegende Nutzung oder Erste-Schritte-Notizen:

Dokumentation

Quelle

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

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Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

Adobe Photoshop API Batch Processor

Automates image editing workflows via the Adobe Photoshop API (Firefly Services). Supports smart object replacement, action playback, and PSD layer manipulation at scale.

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