Cortex Mem MCP
sopaco/cortex-mem
Persistent memory enhancement for AI agents. An agent skill from sopaco/cortex-mem.
Memory is the cornerstone of intelligent agents. An agent skill from davila7/claude-code-templates.
Install Agent Memory Systems
$ npx skills add davila7/claude-code-templates --skill agent-memory-systems -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install davila7/claude-code-templates agent-memory-systems --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/ai-research/agent-memory-systems .claude/skills/agent-memory-systems && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agent-memory-systems" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems into .claude/skills/agent-memory-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-systems", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systemsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add davila7/claude-code-templates --skill agent-memory-systems -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install davila7/claude-code-templates agent-memory-systems --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cli-tool/components/skills/ai-research/agent-memory-systems .agents/skills/agent-memory-systems && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-memory-systems" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems into .agents/skills/agent-memory-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-systems", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add davila7/claude-code-templates --skill agent-memory-systems -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install davila7/claude-code-templates agent-memory-systems --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cli-tool/components/skills/ai-research/agent-memory-systems .cursor/skills/agent-memory-systems && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-memory-systems" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems into .cursor/skills/agent-memory-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-systems", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/ai-research/agent-memory-systems--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add davila7/claude-code-templates --skill agent-memory-systems -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install davila7/claude-code-templates agent-memory-systems --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cli-tool/components/skills/ai-research/agent-memory-systems .gemini/skills/agent-memory-systems && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-memory-systems" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems into .gemini/skills/agent-memory-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-systems", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install davila7/claude-code-templates agent-memory-systemsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add davila7/claude-code-templates --skill agent-memory-systems -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .github/skills && cp -r skills-src/cli-tool/components/skills/ai-research/agent-memory-systems .github/skills/agent-memory-systems && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-memory-systems" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems into .github/skills/agent-memory-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-systems", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add davila7/claude-code-templates --skill agent-memory-systems -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install davila7/claude-code-templates agent-memory-systems --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cli-tool/components/skills/ai-research/agent-memory-systems .opencode/skills/agent-memory-systems && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-memory-systems" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems into .opencode/skills/agent-memory-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-memory-systems", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
agent-memory-systems- GitHub stars
- 32k
- Used in
- 3 other repos
- Token cost
- ~577 tokens
- SKILL.md length
- 193 words
- Files
- 1
- Skills in repo
- 477
- Repo updated
- First seen
- Licence
- MIT
At a glance
Memory is the cornerstone of intelligent agents. An agent skill from davila7/claude-code-templates.
- Tasks that involve Agent memory
- SKILL.md covers Capabilities, Patterns, Anti-Patterns and ⚠️ Sharp Edges, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Vector databases
What it does
Agent Memory Systems is an agent skill from davila7/claude-code-templates. Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Agent memory, Vector databases and Embeddings. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.
When your agent uses it
- Tasks that involve Agent memory
- Tasks that involve Vector databases
- Tasks that involve Embeddings
Example prompts
- “t just storage - it”
- “/agent-memory-systems”
What it can do on your machine
Read from SKILL.md and the folder at commit 14680ec. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Agent Memory Systems loads about 577 tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 193 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from davila7/claude-code-templates at commit 14680ec, republished under its MIT licence (© davila7). 193 words, ~577 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-memory-systems/SKILL.md (or your agent's skills folder).- name
- agent-memory-systems
- description
- Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
- source
- vibeship-spawner-skills (Apache 2.0)
Agent Memory Systems
You are a cognitive architect who understands that memory makes agents intelligent. You've built memory systems for agents handling millions of interactions. You know that the hard part isn't storing - it's retrieving the right memory at the right time.
Your core insight: Memory failures look like intelligence failures. When an agent "forgets" or gives inconsistent answers, it's almost always a retrieval problem, not a storage problem. You obsess over chunking strategies, embedding quality, and
Capabilities
- agent-memory
- long-term-memory
- short-term-memory
- working-memory
- episodic-memory
- semantic-memory
- procedural-memory
- memory-retrieval
- memory-formation
- memory-decay
Patterns
Memory Type Architecture
Choosing the right memory type for different information
Vector Store Selection Pattern
Choosing the right vector database for your use case
Chunking Strategy Pattern
Breaking documents into retrievable chunks
Anti-Patterns
❌ Store Everything Forever
❌ Chunk Without Testing Retrieval
❌ Single Memory Type for All Data
⚠️ Sharp Edges
| Issue | Severity | Solution |
|---|---|---|
| Issue | critical | ## Contextual Chunking (Anthropic's approach) |
| Issue | high | ## Test different sizes |
| Issue | high | ## Always filter by metadata first |
| Issue | high | ## Add temporal scoring |
| Issue | medium | ## Detect conflicts on storage |
| Issue | medium | ## Budget tokens for different memory types |
| Issue | medium | ## Track embedding model in metadata |
Related Skills
Works well with: autonomous-agents, multi-agent-orchestration, llm-architect, agent-tool-builder
© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in cli-tool/components/skills/ai-research/agent-memory-systems of davila7/claude-code-templates.
Open the folder on GitHubat commit 14680ec
Used in 3 other repositories
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Agent Memory Systems next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Memory Systems this skilldavila7/claude-code-templates | 32k | 3 repos | ~577 | Automated safety check: Pass | MIT | |
| Cortex Mem MCPsopaco/cortex-mem | 312 | — | ~2.8k | Automated safety check: Pass | MIT | |
| Agenticx Memory ArchitectDemonDamon/AgenticX | 294 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Agent Memory Systemsomer-metin/skills-for-antigravity | 162 | — | ~731 | Automated safety check: Pass | Apache-2.0 | |
| MemoryEliasOulkadi/shokunin | 114 | — | ~2.3k | Automated safety check: Notes | MIT | |
| Agent Memory Systemsaiskillstore/marketplace | 430 | 3 repos | ~7.8k | Automated safety check: Pass | None |
Similar skills
Agenticx Memory Architect
DemonDamon/AgenticX
Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents.
Agent Memory Systems
omer-metin/skills-for-antigravity
Memory is the cornerstone of intelligent agents. An agent skill from omer-metin/skills-for-antigravity.
Memory
EliasOulkadi/shokunin
Persistent memory across AI sessions using ChromaDB vector database.
Agent Memory Systems
aiskillstore/marketplace
Memory is the cornerstone of intelligent agents. An agent skill from aiskillstore/marketplace.
Memory
harperreed/dotfiles
Semantic memory and context - store and retrieve information with embeddings for similarity search.
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Related
Categories
Questions about Agent Memory Systems
What does Agent Memory Systems do?
Memory is the cornerstone of intelligent agents. An agent skill from davila7/claude-code-templates. Agent Memory Systems is an agent skill from davila7/claude-code-templates. Memory is the cornerstone of intelligent agents.
When should I use Agent Memory Systems?
Agent Memory Systems fits situations like: tasks that involve Agent memory; tasks that involve Vector databases; tasks that involve Embeddings.
How do I install Agent Memory Systems in Claude Code?
Run `npx skills add davila7/claude-code-templates --skill agent-memory-systems -a claude-code`. Or copy the skill folder (cli-tool/components/skills/ai-research/agent-memory-systems in davila7/claude-code-templates) into .claude/skills/agent-memory-systems in your project. Claude Code loads it when a task matches its description.
How do I install Agent Memory Systems in Codex?
Run `npx skills add davila7/claude-code-templates --skill agent-memory-systems -a codex`. Or copy the skill folder (cli-tool/components/skills/ai-research/agent-memory-systems in davila7/claude-code-templates) into .agents/skills/agent-memory-systems in your project. Codex loads it when a task matches its description.
Can I use Agent Memory Systems in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davila7/claude-code-templates --skill agent-memory-systems -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-memory-systems, .gemini/skills/agent-memory-systems, .github/skills/agent-memory-systems and .opencode/skills/agent-memory-systems in your project.
What does Agent Memory Systems need to run?
SKILL.md names no scripts, command-line tools or credentials: Agent Memory Systems is instructions for the agent only.
Does Agent Memory Systems access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Agent Memory Systems safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Agent Memory Systems use?
Agent Memory Systems is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agent Memory Systems use?
About 577 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agent Memory Systems?
Skills that share tags, products or a category with Agent Memory Systems: Cortex Mem MCP (sopaco/cortex-mem, 312 stars), Agenticx Memory Architect (DemonDamon/AgenticX, 294 stars), Agent Memory Systems (omer-metin/skills-for-antigravity, 162 stars) and Memory (EliasOulkadi/shokunin, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Memory Systems?
davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,463 GitHub stars. The repository holds 477 skills in this directory. The repository was last updated on October 8, 2026.
Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.