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Ajouter une mémoire à long terme gérée aux agents LangGraph ave…

Donnez aux agents LangGraph des outils de gestion de la mémoire et de recherche afin qu'ils puissent stocker, récupérer et mettre à jour des faits durables à travers les sessions.

Qu'est-ce que Ajouter une mémoire à long terme gérée aux agents LangGraph ave… ?

Cette compétence permet d'intégrer une mémoire à long terme gérée aux agents LangGraph en utilisant la bibliothèque LangMem. Elle permet aux agents de stocker, récupérer et mettre à jour des faits durables à travers différentes sessions, offrant ainsi une continuité contextuelle essentielle pour les applications d'agents complexes. L'installation est simple avec pip install -U langmem, et l'utilisation se fait en configurant une clé API pour un fournisseur LLM (comme Anthropic) puis en créant un agent en quelques lignes de code. Cette compétence s'appuie sur la documentation officielle de LangMem et est référencée sur l'Agent Skill Exchange, ce qui la rend facilement accessible aux développeurs. Elle est particulièrement utile pour les environnements de production nécessitant une persistance des données via Postgres.

Compatible avec✓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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Documentation

Ajouter une mémoire à long terme gérée aux agents LangGraph avec LangMem

Donnez aux agents LangGraph des outils de gestion de la mémoire et de recherche afin qu'ils puissent stocker, récupérer et mettre à jour des faits durables à travers les sessions.

Prérequis

Python, langmem, environnement d'exécution d'agent LangGraph ou LangChain, stockage persistant comme Postgres pour la production, clé API du fournisseur LLM

Installation

Utilisez le chemin d'installation en amont ou de configuration qui correspond à votre environnement :

  • pip install -U langmem

Exigences et mises en garde en amont :

  • python

Notes d'utilisation de base ou de démarrage :

Documentation

Source

Individual skills in this repo

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

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

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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

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

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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