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AI EngineeringPython

Agent Memory

by nimadorostkar

Agent Memory is an AI Engineering skill for Claude Code, published by nimadorostkar in Claude-Skills-collection.

18 stars2 forkson nimadorostkar/Claude-Skills-collectionAdded 2026/07/16+13% in starsRepository updated 2026/07/14
aiclaudeclaude-skillsskills
Install in seconds
Install Agent Memory
Copy Agent Memory into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/nimadorostkar/Claude-Skills-collection/tree/main/skills/agent-tooling/agent-memory ~/.claude/skills/agent-memory

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nimadorostkar/Claude-Skills-collection.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/agent-tooling/agent-memory/SKILL.md in nimadorostkar/Claude-Skills-collection
Installs to
~/.claude/skills/agent-memory
Collection
One of 50 skills cataloged from this repository
Category
AI Engineering3670 skills

What Agent Memory does

A method for agents to persist critical state—facts, failures, conclusions—in a file that survives context compaction and session ends, with strategies for retrieval and preventing stale data.

Agent Memory is cataloged under AI Engineering on DirSkills. Agent Memory comes from a repository tagged ai, claude, claude-skills and skills.

Documentation

README

Agent Memory

Purpose

Give an agent state that outlives its context window. Anything the agent must not forget belongs in a file it can re-read — not in a conversation history that will be compacted away.

When to Use

  • A task that spans more turns than the context window holds.
  • Work that continues across sessions.
  • An agent that repeatedly rediscovers the same fact or repeats the same failed approach.
  • Accumulating knowledge about a codebase or a domain over time.

Capabilities

  • Deciding what deserves persistence.
  • File-based memory the agent reads and writes.
  • Structuring notes for retrieval rather than for narrative.
  • Staleness detection and pruning.

Inputs

This is the opening of the README. Read the full README on GitHub.

Commands Agent Memory provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /health
  • /metrics

Frequently asked about Agent Memory

  • What else does nimadorostkar publish alongside Agent Memory?

    Agent Memory is one of 50 skills that DirSkills catalogs from nimadorostkar/Claude-Skills-collection, the repository it ships in. Its siblings there include API Design, Agent Design and Agent Instructions. Each one is a separate skill with its own page in this directory, installs the same way Agent Memory does, and is maintained by nimadorostkar in that same repository. The rest of the collection is listed on the nimadorostkar/Claude-Skills-collection page.

  • How does Agent Memory compare to other AI Engineering skills?

    Agent Memory ranks #3589 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Memory against them. Open each page to compare what they document and how they install.

More from nimadorostkar/Claude-Skills-collection

Agent Memory is one of 50 skills cataloged on DirSkills from nimadorostkar/Claude-Skills-collection.

See all 50 skills