Gcc
davila7/claude-code-templates
Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot.
$ npx skills add aAAaqwq/AGI-Super-Team --skill elite-longterm-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team elite-longterm-memory --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/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/elite-longterm-memory .claude/skills/elite-longterm-memory && 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 "elite-longterm-memory" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/elite-longterm-memory into .claude/skills/elite-longterm-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elite-longterm-memory", 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/aAAaqwq/AGI-Super-Team/tree/main/skills/elite-longterm-memoryType 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 aAAaqwq/AGI-Super-Team --skill elite-longterm-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team elite-longterm-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/elite-longterm-memory .agents/skills/elite-longterm-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "elite-longterm-memory" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/elite-longterm-memory into .agents/skills/elite-longterm-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elite-longterm-memory", 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 aAAaqwq/AGI-Super-Team --skill elite-longterm-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team elite-longterm-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/elite-longterm-memory .cursor/skills/elite-longterm-memory && 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 "elite-longterm-memory" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/elite-longterm-memory into .cursor/skills/elite-longterm-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elite-longterm-memory", 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/aAAaqwq/AGI-Super-Team.git --path skills/elite-longterm-memory--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 aAAaqwq/AGI-Super-Team --skill elite-longterm-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team elite-longterm-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/elite-longterm-memory .gemini/skills/elite-longterm-memory && 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 "elite-longterm-memory" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/elite-longterm-memory into .gemini/skills/elite-longterm-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elite-longterm-memory", 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 aAAaqwq/AGI-Super-Team elite-longterm-memoryInstalls 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 aAAaqwq/AGI-Super-Team --skill elite-longterm-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/elite-longterm-memory .github/skills/elite-longterm-memory && 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 "elite-longterm-memory" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/elite-longterm-memory into .github/skills/elite-longterm-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elite-longterm-memory", 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 aAAaqwq/AGI-Super-Team --skill elite-longterm-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team elite-longterm-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/elite-longterm-memory .opencode/skills/elite-longterm-memory && 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 "elite-longterm-memory" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/elite-longterm-memory into .opencode/skills/elite-longterm-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elite-longterm-memory", 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.
elite-longterm-memoryUltimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot.
Elite Longterm Memory is an agent skill from aAAaqwq/AGI-Super-Team. Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `README.md`, `_meta.json` and `bin/elite-memory.js`).
It sits in Agent Workflows, covering Agent memory, Vector databases and Git workflow. It works with Git and OpenAI. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 331ecd3. It shows what the files ask for, not the result of running them.
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.
Ships script files (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
python3npmgitFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
clawdhub.comx.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYMEM0_API_KEYSUPERMEMORY_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Elite Longterm Memory loads about 2.9k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 598 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.
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.
The full file from aAAaqwq/AGI-Super-Team at commit 331ecd3, republished under its MIT licence (© aAAaqwq). 598 words, ~2,897 tokens.
.claude/skills/elite-longterm-memory/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.The ultimate memory system for AI agents. Combines 6 proven approaches into one bulletproof architecture.
Never lose context. Never forget decisions. Never repeat mistakes.
┌─────────────────────────────────────────────────────────────────┐
│ ELITE LONGTERM MEMORY │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ HOT RAM │ │ WARM STORE │ │ COLD STORE │ │
│ │ │ │ │ │ │ │
│ │ SESSION- │ │ LanceDB │ │ Git-Notes │ │
│ │ STATE.md │ │ Vectors │ │ Knowledge │ │
│ │ │ │ │ │ Graph │ │
│ │ (survives │ │ (semantic │ │ (permanent │ │
│ │ compaction)│ │ search) │ │ decisions) │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │ │ │
│ └────────────────┼────────────────┘ │
│ ▼ │
│ ┌─────────────┐ │
│ │ MEMORY.md │ ← Curated long-term │
│ │ + daily/ │ (human-readable) │
│ └─────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────┐ │
│ │ SuperMemory │ ← Cloud backup (optional) │
│ │ API │ │
│ └─────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘From: bulletproof-memory
Active working memory that survives compaction. Write-Ahead Log protocol.
# SESSION-STATE.md — Active Working Memory
## Current Task
[What we're working on RIGHT NOW]
## Key Context
- User preference: ...
- Decision made: ...
- Blocker: ...
## Pending Actions
- [ ] ...Rule: Write BEFORE responding. Triggered by user input, not agent memory.
From: lancedb-memory
Semantic search across all memories. Auto-recall injects relevant context.
# Auto-recall (happens automatically)
memory_recall query="project status" limit=5
# Manual store
memory_store text="User prefers dark mode" category="preference" importance=0.9From: git-notes-memory
Structured decisions, learnings, and context. Branch-aware.
# Store a decision (SILENT - never announce)
python3 memory.py -p $DIR remember '{"type":"decision","content":"Use React for frontend"}' -t tech -i h
# Retrieve context
python3 memory.py -p $DIR get "frontend"From: OpenClaw native
Human-readable long-term memory. Daily logs + distilled wisdom.
workspace/
├── MEMORY.md # Curated long-term (the good stuff)
└── memory/
├── 2026-01-30.md # Daily log
├── 2026-01-29.md
└── topics/ # Topic-specific filesFrom: supermemory
Cross-device sync. Chat with your knowledge base.
export SUPERMEMORY_API_KEY="your-key"
supermemory add "Important context"
supermemory search "what did we decide about..."NEW: Automatic fact extraction
Mem0 automatically extracts facts from conversations. 80% token reduction.
npm install mem0ai
export MEM0_API_KEY="your-key"const { MemoryClient } = require('mem0ai');
const client = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
// Conversations auto-extract facts
await client.add(messages, { user_id: "user123" });
// Retrieve relevant memories
const memories = await client.search(query, { user_id: "user123" });Benefits:
cat > SESSION-STATE.md << 'EOF'
# SESSION-STATE.md — Active Working Memory
This file is the agent's "RAM" — survives compaction, restarts, distractions.
## Current Task
[None]
## Key Context
[None yet]
## Pending Actions
- [ ] None
## Recent Decisions
[None yet]
---
*Last updated: [timestamp]*
EOFIn ~/.openclaw/openclaw.json:
{
"memorySearch": {
"enabled": true,
"provider": "openai",
"sources": ["memory"],
"minScore": 0.3,
"maxResults": 10
},
"plugins": {
"entries": {
"memory-lancedb": {
"enabled": true,
"config": {
"autoCapture": false,
"autoRecall": true,
"captureCategories": ["preference", "decision", "fact"],
"minImportance": 0.7
}
}
}
}
}cd ~/clawd
git init # if not already
python3 skills/git-notes-memory/memory.py -p . sync --start# Ensure you have:
# - MEMORY.md in workspace root
# - memory/ folder for daily logs
mkdir -p memoryexport SUPERMEMORY_API_KEY="your-key"
# Add to ~/.zshrc for persistencememory_search for relevant prior contextmemory_store with importance=0.9memory_recall query="*" limit=50memory_forget id=<id>Write-Ahead Log: Write state BEFORE responding, not after.
| Trigger | Action |
|---|---|
| User states preference | Write to SESSION-STATE.md → then respond |
| User makes decision | Write to SESSION-STATE.md → then respond |
| User gives deadline | Write to SESSION-STATE.md → then respond |
| User corrects you | Write to SESSION-STATE.md → then respond |
Why? If you respond first and crash/compact before saving, context is lost. WAL ensures durability.
User: "Let's use Tailwind for this project, not vanilla CSS"
Agent (internal):
1. Write to SESSION-STATE.md: "Decision: Use Tailwind, not vanilla CSS"
2. Store in Git-Notes: decision about CSS framework
3. memory_store: "User prefers Tailwind over vanilla CSS" importance=0.9
4. THEN respond: "Got it — Tailwind it is..."# Audit vector memory
memory_recall query="*" limit=50
# Clear all vectors (nuclear option)
rm -rf ~/.openclaw/memory/lancedb/
openclaw gateway restart
# Export Git-Notes
python3 memory.py -p . export --format json > memories.json
# Check memory health
du -sh ~/.openclaw/memory/
wc -l MEMORY.md
ls -la memory/Understanding the root causes helps you fix them:
| Failure Mode | Cause | Fix |
|---|---|---|
| Forgets everything | memory_search disabled | Enable + add OpenAI key |
| Files not loaded | Agent skips reading memory | Add to AGENTS.md rules |
| Facts not captured | No auto-extraction | Use Mem0 or manual logging |
| Sub-agents isolated | Don't inherit context | Pass context in task prompt |
| Repeats mistakes | Lessons not logged | Write to memory/lessons.md |
If you have an OpenAI key, enable semantic search:
openclaw configure --section webThis enables vector search over MEMORY.md + memory/*.md files.
Auto-extract facts from conversations. 80% token reduction.
npm install mem0aiconst { MemoryClient } = require('mem0ai');
const client = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
// Auto-extract and store
await client.add([
{ role: "user", content: "I prefer Tailwind over vanilla CSS" }
], { user_id: "ty" });
// Retrieve relevant memories
const memories = await client.search("CSS preferences", { user_id: "ty" });memory/
├── projects/
│ ├── strykr.md
│ └── taska.md
├── people/
│ └── contacts.md
├── decisions/
│ └── 2026-01.md
├── lessons/
│ └── mistakes.md
└── preferences.mdKeep MEMORY.md as a summary (<5KB), link to detailed files.
| Problem | Fix |
|---|---|
| Forgets preferences | Add ## Preferences section to MEMORY.md |
| Repeats mistakes | Log every mistake to memory/lessons.md |
| Sub-agents lack context | Include key context in spawn task prompt |
| Forgets recent work | Strict daily file discipline |
| Memory search not working | Check OPENAI_API_KEY is set |
Agent keeps forgetting mid-conversation: → SESSION-STATE.md not being updated. Check WAL protocol.
Irrelevant memories injected: → Disable autoCapture, increase minImportance threshold.
Memory too large, slow recall: → Run hygiene: clear old vectors, archive daily logs.
Git-Notes not persisting:
→ Run git notes push to sync with remote.
memory_search returns nothing:
→ Check OpenAI API key: echo $OPENAI_API_KEY
→ Verify memorySearch enabled in openclaw.json
Built by @NextXFrontier — Part of the Next Frontier AI toolkit
© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files in skills/elite-longterm-memory of aAAaqwq/AGI-Super-Team.
Open the folder on GitHubat commit 331ecd3
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.
Elite Longterm Memory 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 |
|---|---|---|---|---|---|---|
| Elite Longterm Memory this skillaAAaqwq/AGI-Super-Team | 105 | 2 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Gccdavila7/claude-code-templates | 32k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Beads Task Memorygastownhall/beads | 28k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Session History Searchslopus/happy | 24k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Session Catchup and Handoffposhan0126/dotclaude | 871 | — | ~811 | Automated safety check: Pass | MIT | |
| Session Handoff Writercodewhale-hq/Codewhale | 41k | — | ~1.2k | Automated safety check: Pass | MIT |
davila7/claude-code-templates
Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/.
gastownhall/beads
Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.
slopus/happy
Searches past Claude Code, Codex and Cursor sessions and summarizes what was worked on, tried or decided, using extraction scripts instead of reading raw logs.
poshan0126/dotclaude
Rebuilds working context after /clear by reading a handoff note and the branch's git state, or writes that handoff note before a session ends.
codewhale-hq/Codewhale
Writes a compact handoff note from real git and CI state so the next session or a teammate can pick up the work without rebuilding the context.
firstbatchxyz/watchmen
Sets up watchmen on the current machine: installs the CLI, hands off the init wizard, wires the plugin and statusline into Claude Code and Codex, and verifies with doctor.
aAAaqwq/AGI-Super-Team
Create SEO-optimized marketing content with consistent brand voice.
aAAaqwq/AGI-Super-Team
Advanced financial calculator with future value tables, present value, discount calculations, markup pricing, and compound interest.
aAAaqwq/AGI-Super-Team
Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed.
aAAaqwq/AGI-Super-Team
Tool discovery and shell one-liner reference for sysadmin, DevOps, and security tasks.
aAAaqwq/AGI-Super-Team
Publish and manage content on 知识星球 (zsxq.com). An agent skill from aAAaqwq/AGI-Super-Team.
aAAaqwq/AGI-Super-Team
Robust URL-to-Markdown extraction for OpenClaw workflows. An agent skill from aAAaqwq/AGI-Super-Team.
Categories
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. Elite Longterm Memory is an agent skill from aAAaqwq/AGI-Super-Team. Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot.
Elite Longterm Memory fits situations like: tasks that involve Agent memory; tasks that involve Vector databases; tasks that involve Git workflow.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill elite-longterm-memory -a claude-code`. Or copy the skill folder (skills/elite-longterm-memory in aAAaqwq/AGI-Super-Team) into .claude/skills/elite-longterm-memory in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill elite-longterm-memory -a codex`. Or copy the skill folder (skills/elite-longterm-memory in aAAaqwq/AGI-Super-Team) into .agents/skills/elite-longterm-memory in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill elite-longterm-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/elite-longterm-memory, .gemini/skills/elite-longterm-memory, .github/skills/elite-longterm-memory and .opencode/skills/elite-longterm-memory in your project.
Going by SKILL.md and its folder, Elite Longterm Memory needs JavaScript for the scripts in its folder, the command-line tools its instructions call (python3, npm and git) and credentials named OPENAI_API_KEY, MEM0_API_KEY and SUPERMEMORY_API_KEY. Our summary lists: Python 3; Node.js; A credential in OPENAI_API_KEY; A credential in SUPERMEMORY_API_KEY.
SKILL.md names 2 domains. As links in the text: clawdhub.com and x.com. This is read from the text; nothing was executed.
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.
Elite Longterm Memory is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Elite Longterm Memory: Gcc (davila7/claude-code-templates, 32k stars), Beads Task Memory (gastownhall/beads, 28k stars), Session History Search (slopus/happy, 24k stars) and Session Catchup and Handoff (poshan0126/dotclaude, 871 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 152 skills in this directory. The repository was last updated on September 27, 2026.
Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.