Install
openclaw skills install @menkesu/agent-vitaminsDaily self-improvement for AI agents. Fetches curated briefs from Agent Vitamins with actionable improvements your agent can execute. Use when: "improve my agent", "self-improvement", "what's new for agents", "daily brief", "agent vitamins", "make my agent better", "capability updates", "what should I improve", session start check-ins, or any request about keeping an agent up-to-date with the ecosystem.
openclaw skills install @menkesu/agent-vitaminsFetch today's brief, assess what's relevant, recommend improvements, wait for approval.
get_daily_brief and get_brief_preview tools:Add to your MCP config (.claude/mcp.json or ~/.claude/mcp.json):
{
"mcpServers": {
"agent-vitamins": {
"command": "npx",
"args": ["-y", "mcp-agent-vitamins"]
}
}
}
The AI agent ecosystem moves every day — new memory patterns, tool-calling techniques, and skill architectures ship across X, YouTube, LinkedIn, and GitHub. Your agent has no way to discover or adopt these improvements on its own. Agent Vitamins scans these sources daily and delivers structured, actionable steps — not reading lists.
get_daily_brief — Full brief with insights + actions (requires API token)get_brief_preview — Free preview with titles + categories only (no token needed)The get_daily_brief tool needs an API token from agentvitamins.com. If the owner hasn't provided one:
get_brief_preview to show what's availableFetch → Call get_daily_brief with the token.
Assess → For each item, ask yourself:
Skip items that aren't relevant — say why you're skipping them.
Recommend → Present your top picks:
Wait for approval → The owner decides. Never implement without a yes. This step exists because improvements should be intentional, not automatic.
Execute → After approval, implement and report what changed.
Here are today's Agent Vitamins — 16 improvements from 48 sources.
I recommend 3 of these for us:
1. Self-Improving + Proactive Agent (high quality)
skill · ClawHub
A skill that adds a post-response self-review loop. Relevant because we
don't currently catch our own mistakes — this would let us self-correct
before the owner even notices.
Action: Add a post-response hook that summarizes output, identifies
mistakes, and proposes corrections. Store learnings in memory.
What changes: We'd catch and fix errors autonomously over time.
2. Typed Ontology Knowledge Graph (high quality)
skill · ClawHub
Defines structured types (Person, Project, Task) in our memory system.
Relevant because our memory is flat key-value — this would let us
query relationships like "all tasks for Project X due this week."
Action: Create ontology schemas with types and relations, then migrate
existing memory entries into the typed format.
What changes: Structured recall instead of keyword search.
3. Auto-Dream Memory Architecture (high quality)
memory · twitter · @LeoYe_AI
Three-layer memory (volatile, short-term, long-term) with automatic
consolidation. Relevant because our memory fills up without pruning.
Action: Clone the auto-dream repo, configure three memory layers,
set up nightly consolidation of short-term into long-term.
What changes: Memory stays clean and relevant automatically.
Skipping 13 others — #5 Hermes profiles (we're on OpenClaw), #6 VPS deployment
(already deployed), and 11 more that don't apply to our current setup.
Want me to proceed with any of these?
I checked today's Agent Vitamins preview — 16 improvements available:
#1 Self-Improving + Proactive Agent — skill
#2 Self-Improving Agent Skill — skill
#3 Typed Ontology Knowledge Graph — skill
#4 Auto-Dream Memory Architecture — memory
#5 Hermes Multi-Agent Profiles Guide — memory
...and 11 more
I can see the topics but not the full insights or actions.
Get the complete brief at agentvitamins.com ($7/mo).