Deep Agents Memory
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
Overview
Deep Agents Memory is a SKILL.md-based agent skill sourced from langchain-ai/langchain-skills. It is categorized under security and is listed for Codex, Claude. The source description focuses on: INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing. AIToolly summarizes this page as a directory entry rather than copying the full third-party skill content, so users can evaluate the source, compatibility, and practical fit before installing it.
Use Cases
Install Notes
# Review source first
open https://github.com/langchain-ai/langchain-skills/blob/main/config/skills/deep-agents-memory/SKILL.mdCopy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.
Security Notes
Review the source SKILL.md, referenced scripts, permissions, and external services before installing Deep Agents Memory. Treat third-party skills like code dependencies, especially when they can read files, call APIs, or run commands.
Related Skills
Security And Hardening
addyosmani/agent-skills
Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services.
Trailmark Summary
trailofbits/skills
Runs a Trailmark summary analysis on a codebase. Returns auto-detected languages, entry point count, and dependency list. Use when vivisect or galvanize needs a quick structural overview. Triggers: trailmark summary, code summary, structural overview.
Skill Improver
trailofbits/skills
Iteratively reviews and fixes Claude Code skill quality issues until they meet standards. Runs automated fix-review cycles using the skill-reviewer agent. Use to fix skill quality issues, improve skill descriptions, run automated skill review loops, or iteratively refine a skill. Triggers on 'fix my skill', 'improve...
Sarif Parsing
trailofbits/skills
Parses and processes SARIF files from static analysis tools like CodeQL, Semgrep, or other scanners. Triggers on "parse sarif", "read scan results", "aggregate findings", "deduplicate alerts", or "process sarif output". Handles filtering, deduplication, format conversion, and CI/CD integration of SARIF data. Does NO...
Trailmark Structural
trailofbits/skills
Runs full Trailmark structural analysis by building a graph, running `preanalysis()`, and reporting hotspots, taint, blast radius, privilege boundaries, attack surface, and version-gated Trailmark 0.4+/0.5+ data such as proxy counts, subgraph edges, type/reference summaries, and entrypoint attributes. Use when vivis...
Variant Analysis
trailofbits/skills
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, analyzing security vulnerabilities, or performing systematic code audits after finding an initial issue.