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Deep Agents Memory

Pluggable memory and file backends for Deep Agents with ephemeral, persistent, and hybrid routing options. Four backend types: StateBackend (thread-scoped, ephemeral), StoreBackend (cross-session p...

Version1.0.0
LicenseMIT
Token count~811
UpdatedJun 5, 2026

Pluggable memory and file backends for Deep Agents with ephemeral, persistent, and hybrid routing options. Four backend types: StateBackend (thread-scoped, ephemeral), StoreBackend (cross-session persistent), FilesystemBackend (real disk access for local dev), and CompositeBackend (route different paths to different backends) FilesystemMiddleware provides six file operation tools: ls , read_file , write_file , edit_file , glob , grep CompositeBackend uses longest-prefix matching to route...

Install

Quick install

via npx skills · works with 57+ agents
npx skills add https://github.com/langchain-ai/langchain-skills/tree/HEAD/skills/deep-agents-memory
Or pick agent:
npx skills add langchain-ai/langchain-skills --skill deep-agents-memory --agent claude-code
npx skills add langchain-ai/langchain-skills --skill deep-agents-memory --agent cursor
npx skills add langchain-ai/langchain-skills --skill deep-agents-memory --agent codex
npx skills add langchain-ai/langchain-skills --skill deep-agents-memory --agent opencode
npx skills add langchain-ai/langchain-skills --skill deep-agents-memory --agent github-copilot
npx skills add langchain-ai/langchain-skills --skill deep-agents-memory --agent windsurf
More install options

Shorthand — useful for multi-skill repos:

npx skills add langchain-ai/langchain-skills --skill deep-agents-memory

Manual — clone the repo and drop the folder into your agent's skills directory:

git clone https://github.com/langchain-ai/langchain-skills.git
cp -r langchain-skills/skills/deep-agents-memory ~/.claude/skills/
How to use: Once installed, ask your agent to "use the deep-agents-memory skill" or describe what you want (e.g. "Pluggable memory and file backends for Deep Agents with ephemeral, persistent, a"). Requires Node.js 18+.

deep-agents-memory

Pluggable memory and file backends for Deep Agents with ephemeral, persistent, and hybrid routing options. Four backend types: StateBackend (thread-scoped, ephemeral), StoreBackend (cross-session persistent), FilesystemBackend (real disk access for local dev), and CompositeBackend (route different paths to different backends) FilesystemMiddleware provides six file operation tools: ls , read_file , write_file , edit_file , glob , grep CompositeBackend uses longest-prefix matching to route...

deep-agents-memoryby langchain-ai

Pluggable memory and file backends for Deep Agents with ephemeral, persistent, and hybrid routing options. Four backend types: StateBackend (thread-scoped, ephemeral), StoreBackend (cross-session persistent), FilesystemBackend (real disk access for local dev), and CompositeBackend (route different paths to different backends) FilesystemMiddleware provides six file operation tools: ls , read_file , write_file , edit_file , glob , grep CompositeBackend uses longest-prefix matching to route...

npx skills add https://github.com/langchain-ai/langchain-skills --skill deep-agents-memoryDownload ZIPGitHub

More skills from langchain-ai

arxiv-searchby langchain-aiSearch arXiv for preprints and academic papers by topic with abstract retrieval. Query-based search across physics, mathematics, computer science, biology, statistics, and related fields Configurable result limit (default 10 papers) with results sorted by relevance Returns title and abstract for each matching paper Requires the arxiv Python package; install via pip if not already presentblog-postby langchain-aiLong-form blog post writing with research delegation, structured content templates, and AI-generated cover images. Delegates research to subagents before writing, storing findings in markdown for reference and context Enforces a five-part post structure: hook, context, main content (3–5 sections), practical application, and conclusion with call-to-action Generates SEO-optimized cover images using detailed prompts covering subject, style, composition, color, and lighting Outputs posts to...code-reviewby langchain-aiPerform a structured code review of changes, checking for correctness, style, tests, and potential issues.coding-prefsby langchain-aiRead the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives…competitor-analysisby langchain-aiWhen asked to analyze competitors:cudf-analyticsby langchain-aiUse for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical…cuml-machine-learningby langchain-aiUse for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality…data-visualizationby langchain-aiUse for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating…

---

Source: https://github.com/langchain-ai/langchain-skills/tree/HEAD/skills/deep-agents-memory
Author: langchain-ai
Discovered via: mcpservers.org

SKILL.md source

---
name: deep-agents-memory
description: Pluggable memory and file backends for Deep Agents with ephemeral, persistent, and hybrid routing options. Four backend types: StateBackend (thread-scoped, ephemeral), StoreBackend (cross-session p...
---

# deep-agents-memory

Pluggable memory and file backends for Deep Agents with ephemeral, persistent, and hybrid routing options. Four backend types: StateBackend (thread-scoped, ephemeral), StoreBackend (cross-session persistent), FilesystemBackend (real disk access for local dev), and CompositeBackend (route different paths to different backends) FilesystemMiddleware provides six file operation tools: ls , read_file , write_file , edit_file , glob , grep CompositeBackend uses longest-prefix matching to route...

# deep-agents-memoryby langchain-ai
Pluggable memory and file backends for Deep Agents with ephemeral, persistent, and hybrid routing options. Four backend types: StateBackend (thread-scoped, ephemeral), StoreBackend (cross-session persistent), FilesystemBackend (real disk access for local dev), and CompositeBackend (route different paths to different backends) FilesystemMiddleware provides six file operation tools: ls , read_file , write_file , edit_file , glob , grep CompositeBackend uses longest-prefix matching to route...

`npx skills add https://github.com/langchain-ai/langchain-skills --skill deep-agents-memory`Download ZIPGitHub

## More skills from langchain-ai
arxiv-searchby langchain-aiSearch arXiv for preprints and academic papers by topic with abstract retrieval. Query-based search across physics, mathematics, computer science, biology, statistics, and related fields Configurable result limit (default 10 papers) with results sorted by relevance Returns title and abstract for each matching paper Requires the arxiv Python package; install via pip if not already presentblog-postby langchain-aiLong-form blog post writing with research delegation, structured content templates, and AI-generated cover images. Delegates research to subagents before writing, storing findings in markdown for reference and context Enforces a five-part post structure: hook, context, main content (3–5 sections), practical application, and conclusion with call-to-action Generates SEO-optimized cover images using detailed prompts covering subject, style, composition, color, and lighting Outputs posts to...code-reviewby langchain-aiPerform a structured code review of changes, checking for correctness, style, tests, and potential issues.coding-prefsby langchain-aiRead the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives…competitor-analysisby langchain-aiWhen asked to analyze competitors:cudf-analyticsby langchain-aiUse for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical…cuml-machine-learningby langchain-aiUse for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality…data-visualizationby langchain-aiUse for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating…

---

**Source**: https://github.com/langchain-ai/langchain-skills/tree/HEAD/skills/deep-agents-memory
**Author**: langchain-ai
**Discovered via**: mcpservers.org

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