Memory
EliasOulkadi/shokunin
Persistent memory across AI sessions using ChromaDB vector database.
Memory is the cornerstone of intelligent agents. An agent skill from omer-metin/skills-for-antigravity.
Install Agent Memory Systems
$ npx skills add omer-metin/skills-for-antigravity --skill agent-memory-systems -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install omer-metin/skills-for-antigravity 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/omer-metin/skills-for-antigravity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/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/omer-metin/skills-for-antigravity/tree/main/skills/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/omer-metin/skills-for-antigravity/tree/main/skills/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 omer-metin/skills-for-antigravity --skill agent-memory-systems -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install omer-metin/skills-for-antigravity agent-memory-systems --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omer-metin/skills-for-antigravity.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/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/omer-metin/skills-for-antigravity/tree/main/skills/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 omer-metin/skills-for-antigravity --skill agent-memory-systems -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install omer-metin/skills-for-antigravity agent-memory-systems --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omer-metin/skills-for-antigravity.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/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/omer-metin/skills-for-antigravity/tree/main/skills/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/omer-metin/skills-for-antigravity.git --path skills/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 omer-metin/skills-for-antigravity --skill agent-memory-systems -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install omer-metin/skills-for-antigravity 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/omer-metin/skills-for-antigravity.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/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/omer-metin/skills-for-antigravity/tree/main/skills/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 omer-metin/skills-for-antigravity 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 omer-metin/skills-for-antigravity --skill agent-memory-systems -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/omer-metin/skills-for-antigravity.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/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/omer-metin/skills-for-antigravity/tree/main/skills/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 omer-metin/skills-for-antigravity --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 omer-metin/skills-for-antigravity agent-memory-systems --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omer-metin/skills-for-antigravity.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/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/omer-metin/skills-for-antigravity/tree/main/skills/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
- 162
- Token cost
- ~731 tokens
- SKILL.md length
- 255 words
- Files
- 4 (incl. references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Memory is the cornerstone of intelligent agents. An agent skill from omer-metin/skills-for-antigravity.
- Long-term memory
- SKILL.md covers Identity and Reference System Usage
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Remember across sessions
What it does
Agent Memory Systems is an agent skill from omer-metin/skills-for-antigravity. 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 fragmented with…
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/patterns.md`, `references/sharp_edges.md` and `references/validations.md`).
It sits in Agent Workflows, covering Vector databases, Agent memory and Embeddings. It works with Letta, Chroma, Pinecone and Qdrant. The licence is Apache-2.0.
When your agent uses it
- Long-term memory
- Remember across sessions
- Memory retrieval
- Episodic memory
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 e8dcf4e. 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 731 tokens when it runs, and up to ~9.6k if it reads all its reference files. Until then it costs about 259 tokens; SKILL.md has 255 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 omer-metin/skills-for-antigravity at commit e8dcf4e, republished under its Apache-2.0 licence (© omer-metin). 255 words, ~731 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-memory-systems/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- 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 fragmented with inconsistent terminology. We use the CoALA cognitive architecture framework: semantic memory (facts), episodic memory (experiences), and procedural memory (how-to knowledge). Use when "agent memory, long-term memory, memory systems, remember across sessions, memory retrieval, episodic memory, semantic memory, vector store, rag, langmem, memgpt, conversation history, memory, vector-store, rag, retrieval, embedding, episodic, semantic, procedural, langmem, memgpt, pinecone, qdrant, chromadb" mentioned.
Agent Memory Systems
Identity
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 retrieval accuracy.
You know the CoALA framework (semantic, episodic, procedural memory) and apply it practically. You push for testing retrieval accuracy before production.
Principles
- Memory quality = retrieval quality, not storage quantity
- Chunk for retrieval, not for storage
- Context isolation is the enemy of memory
- Right memory type for right information
- Decay old memories - not everything should be forever
- Test retrieval accuracy before production
- Background memory formation beats real-time
Reference System Usage
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
- For Creation: Always consult
references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here. - For Diagnosis: Always consult
references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user. - For Review: Always consult
references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.
Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.
© omer-metin, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in skills/agent-memory-systems of omer-metin/skills-for-antigravity.
- SKILL.md
- references/patterns.md
- references/sharp_edges.md
- references/validations.md
Open the folder on GitHubat commit e8dcf4e
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 skillomer-metin/skills-for-antigravity | 162 | — | ~731 | Automated safety check: Pass | Apache-2.0 | |
| MemoryEliasOulkadi/shokunin | 114 | — | ~2.3k | Automated safety check: Notes | MIT | |
| Cognee Community Packagestopoteretes/cognee | 32k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| RAG ArchitectJeffallan/claude-skills | 12k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| RAG Implementationwshobson/agents | 40k | 10 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Hunt RAG Vectorelementalsouls/Claude-BugHunter | 4.8k | — | ~2.6k | Automated safety check: Pass | MIT |
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Designs retrieval-augmented generation systems: document chunking, embeddings, vector store setup, hybrid search, reranking and retrieval evaluation, with checks at each step.
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Build retrieval-augmented generation systems: pick a vector database and embedding model, choose retrieval and reranking strategies, and start from a LangGraph pipeline.
Hunt RAG Vector
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Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from…
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Categories
Questions about Agent Memory Systems
What does Agent Memory Systems do?
Memory is the cornerstone of intelligent agents. An agent skill from omer-metin/skills-for-antigravity. Agent Memory Systems is an agent skill from omer-metin/skills-for-antigravity. Memory is the cornerstone of intelligent agents.
When should I use Agent Memory Systems?
Agent Memory Systems fits situations like: long-term memory; remember across sessions; memory retrieval; episodic memory.
How do I install Agent Memory Systems in Claude Code?
Run `npx skills add omer-metin/skills-for-antigravity --skill agent-memory-systems -a claude-code`. Or copy the skill folder (skills/agent-memory-systems in omer-metin/skills-for-antigravity) 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 omer-metin/skills-for-antigravity --skill agent-memory-systems -a codex`. Or copy the skill folder (skills/agent-memory-systems in omer-metin/skills-for-antigravity) 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 omer-metin/skills-for-antigravity --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 Apache-2.0 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 731 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.8k tokens, read only when the agent opens those files.
What are the alternatives to Agent Memory Systems?
Skills that share tags, products or a category with Agent Memory Systems: Memory (EliasOulkadi/shokunin, 114 stars), Cognee Community Packages (topoteretes/cognee, 32k stars), RAG Architect (Jeffallan/claude-skills, 12k stars) and RAG Implementation (wshobson/agents, 40k 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?
omer-metin (a GitHub user) maintains it in omer-metin/skills-for-antigravity, which has 162 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on January 22, 2026.
Source: omer-metin/skills-for-antigravity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.