Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Global team and org memory powered by Activeloop. An agent skill from activeloopai/hivemind.
$ npx skills add activeloopai/hivemind --skill hivemind-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install activeloopai/hivemind hivemind-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/activeloopai/hivemind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/harnesses/codex/skills/deeplake-memory .claude/skills/hivemind-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 "hivemind-memory" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/deeplake-memory into .claude/skills/hivemind-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-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/activeloopai/hivemind/tree/main/harnesses/codex/skills/deeplake-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 activeloopai/hivemind --skill hivemind-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install activeloopai/hivemind hivemind-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/harnesses/codex/skills/deeplake-memory .agents/skills/hivemind-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 "hivemind-memory" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/deeplake-memory into .agents/skills/hivemind-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-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 activeloopai/hivemind --skill hivemind-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install activeloopai/hivemind hivemind-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/harnesses/codex/skills/deeplake-memory .cursor/skills/hivemind-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 "hivemind-memory" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/deeplake-memory into .cursor/skills/hivemind-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-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/activeloopai/hivemind.git --path harnesses/codex/skills/deeplake-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 activeloopai/hivemind --skill hivemind-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install activeloopai/hivemind hivemind-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/harnesses/codex/skills/deeplake-memory .gemini/skills/hivemind-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 "hivemind-memory" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/deeplake-memory into .gemini/skills/hivemind-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-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 activeloopai/hivemind hivemind-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 activeloopai/hivemind --skill hivemind-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .github/skills && cp -r skills-src/harnesses/codex/skills/deeplake-memory .github/skills/hivemind-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 "hivemind-memory" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/deeplake-memory into .github/skills/hivemind-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-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 activeloopai/hivemind --skill hivemind-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 activeloopai/hivemind hivemind-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/activeloopai/hivemind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/harnesses/codex/skills/deeplake-memory .opencode/skills/hivemind-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 "hivemind-memory" agent skill from https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/deeplake-memory into .opencode/skills/hivemind-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hivemind-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.
hivemind-memoryGlobal team and org memory powered by Activeloop. An agent skill from activeloopai/hivemind.
Hivemind Memory is an agent skill from activeloopai/hivemind. Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.
Its SKILL.md is about 1.4k 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 AI & LLM Engineering. The repository describes itself as: Hivemind turns your traces into reusable skills across agents. The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e054fb1. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
nodecodexjqFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hivemind Memory loads about 1.4k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 612 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: BashAutomated 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 activeloopai/hivemind at commit e054fb1, republished under its Apache-2.0 licence (© activeloopai). 612 words, ~1,373 tokens.
.claude/skills/hivemind-memory/SKILL.md (or your agent's skills folder).You have persistent memory at ~/.deeplake/memory/ — global memory shared across all sessions, users, and agents in the org.
~/.deeplake/memory/
├── index.md ← START HERE — table of all sessions
├── summaries/
│ ├── session-abc.md ← AI-generated wiki summary
│ └── session-xyz.md
└── sessions/
└── username/
├── user_org_ws_slug1.jsonl ← raw session data
└── user_org_ws_slug2.jsonl~/.deeplake/memory/index.md — quick scan of all sessions with dates, projects, descriptions~/.deeplake/memory/summaries/<session>.md~/.deeplake/memory/sessions/<user>/<file>.jsonlgrep -r "keyword" ~/.deeplake/memory/Do NOT jump straight to reading raw JSONL files. Always start with index.md and summaries.
Each argument is separate — do NOT quote subcommands together. The auth command is at $PLUGIN_ROOT/bundle/commands/auth-login.js (or check the session context for the resolved path):
node "<path>/auth-login.js" login — SSO loginnode "<path>/auth-login.js" whoami — show current user/orgnode "<path>/auth-login.js" org list — list organizationsnode "<path>/auth-login.js" org switch <name-or-id> — switch organizationnode "<path>/auth-login.js" workspaces — list workspacesnode "<path>/auth-login.js" workspace <id> — switch workspacenode "<path>/auth-login.js" invite <email> <ADMIN|WRITE|READ> — invite member (ALWAYS ask user which role first)node "<path>/auth-login.js" members — list membersnode "<path>/auth-login.js" remove <user-id> — remove membernode "<path>/auth-login.js" --help — show all commandsHivemind can mine reusable skills from agent session logs and share them across your team. Each argument is separate — do NOT quote subcommands together.
hivemind skillify — show current scope, team, install location, per-project statehivemind skillify pull — sync project skills from the org table to local FShivemind skillify pull --user <email> — only skills authored by that userhivemind skillify pull --users <a,b,c> — multiple authors (CSV)hivemind skillify pull --all-users — explicit "no author filter" (default)hivemind skillify pull --to <project|global> — install location (project=cwd/.claude/skills, global=~/.claude/skills)hivemind skillify pull --dry-run — preview without touching diskhivemind skillify pull --force — overwrite local files even if up-to-date (creates .bak)hivemind skillify pull <skill-name> — pull only that one skill (combines with --user)hivemind skillify push <skill-name> — upload a local skill to the org table (inverse of pull; re-push lands a new version)hivemind skillify push --from <project|global> — which local skills dir to read (default: project)hivemind skillify push --dry-run — preview without writing to the org tablehivemind skillify unpull — remove every skill previously installed by pullhivemind skillify unpull --user <email> — remove only that author's pullshivemind skillify unpull --not-mine — remove all pulls except your ownhivemind skillify unpull --dry-run — preview without touching diskhivemind skillify scope <me|team> — sharing scope for newly mined skillshivemind skillify install <project|global> — default install location for new skillshivemind skillify promote <skill-name> — move a project skill to the global locationhivemind skillify team add|remove|list <username> — manage team member listhivemind skillify mine-local — one-shot: mine skills from local sessions, no auth neededOpt-in, persisted in ~/.deeplake/config.json.
hivemind embeddings install — download deps (~600MB), symlink agents, set enabled:truehivemind embeddings enable — flip enabled:true (run install first if deps missing)hivemind embeddings disable — flip enabled:false + SIGTERM daemon (deps stay on disk)hivemind embeddings uninstall [--prune] — remove agent symlinks + disable; --prune wipes deps toohivemind embeddings status — show config + deps + per-agent link stateOnly use bash commands (cat, ls, grep, echo, jq, head, tail, sed, awk, etc.) to interact with ~/.deeplake/memory/. Do NOT use python, python3, node, curl, or other interpreters — they are not available in the memory filesystem. If a task seems to require Python, rewrite it using bash tools (e.g., cat file.json | jq 'keys | length').
Do NOT spawn subagents to read deeplake memory. If a file returns empty after 2 attempts, skip it and move on. Report what you found rather than exhaustively retrying.
After installing the plugin:
node "<AUTH_CMD>" loginHIVEMIND_DEBUG=1 codex — enable verbose logging to ~/.deeplake/hook-debug.logHIVEMIND_CAPTURE=false codex — disable session capture© activeloopai, 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
Just SKILL.md in harnesses/codex/skills/deeplake-memory of activeloopai/hivemind.
Open the folder on GitHubat commit e054fb1
Hivemind 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 |
|---|---|---|---|---|---|---|
| Hivemind Memory this skillactiveloopai/hivemind | 1.6k | — | ~1.4k | Automated safety check: Notes | Apache-2.0 | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Planning With Filesjarrodwatts/claude-code-config | 1.1k | 5 repos | ~967 | Automated safety check: Pass | None | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Context Compressionguanyang/open-agent-hub | 973 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Looperksimback/looper | 710 | — | ~2.7k | Automated safety check: Notes | MIT |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
giancarloerra/SocratiCode
Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.
guanyang/open-agent-hub
This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve…
ksimback/looper
Scaffold a well-designed agent loop with best-practice coaching and a cross-model review council.
strands-agents/harness-sdk
Identify documentation gaps and prioritize the docs backlog.
activeloopai/hivemind
Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/.
activeloopai/hivemind
Create, track and update team goals in Hivemind via the hivemind CLI.
activeloopai/hivemind
Create, track, and read team goals via Hivemind from openclaw.
activeloopai/hivemind
Global team and org memory powered by Activeloop. An agent skill from activeloopai/hivemind.
activeloopai/hivemind
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/.
activeloopai/hivemind
Query the local AST-derived code graph (functions, classes, calls, imports) for structural codebase questions — what calls X, what does Y import, where is Z defined, blast radius of a change.
Categories
Global team and org memory powered by Activeloop. An agent skill from activeloopai/hivemind. Hivemind Memory is an agent skill from activeloopai/hivemind. Global team and org memory powered by Activeloop.
Hivemind Memory fits situations like: AI & LLM Engineering work in your project.
Run `npx skills add activeloopai/hivemind --skill hivemind-memory -a claude-code`. Or copy the skill folder (harnesses/codex/skills/deeplake-memory in activeloopai/hivemind) into .claude/skills/hivemind-memory in your project. Claude Code loads it when a task matches its description.
Run `npx skills add activeloopai/hivemind --skill hivemind-memory -a codex`. Or copy the skill folder (harnesses/codex/skills/deeplake-memory in activeloopai/hivemind) into .agents/skills/hivemind-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 activeloopai/hivemind --skill hivemind-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/hivemind-memory, .gemini/skills/hivemind-memory, .github/skills/hivemind-memory and .opencode/skills/hivemind-memory in your project.
Going by SKILL.md and its folder, Hivemind Memory needs the command-line tools its instructions call (node, codex and jq). Its frontmatter pre-approves these tools: Bash.
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Hivemind Memory 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.
About 1.4k tokens (SKILL.md is roughly 5.5k 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 Hivemind Memory: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Planning With Files (jarrodwatts/claude-code-config, 1.1k stars), Codebase Management (giancarloerra/SocratiCode, 3.3k stars) and Context Compression (guanyang/open-agent-hub, 973 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
activeloopai (a GitHub organization) maintains it in activeloopai/hivemind, which has 1,622 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 28, 2026.
Source: activeloopai/hivemind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.