activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Crawler Summary
Expert Montessori guidance for children ages 0-18 based on hands-on Northern European teaching experience and scientific research. Use when users ask about child development, age-appropriate activities, Montessori methods, parenting approaches, classroom setup, learning materials, behavior guidance, or educational philosophy. Trigger for questions about specific age groups, developmental milestones, activity recommendations, or educational challenges. Provides practical, evidence-based advice grounded in Montessori principles and contemporary neuroscience research. --- name: montessori-educator description: Expert Montessori guidance for children ages 0-18 based on hands-on Northern European teaching experience and scientific research. Use when users ask about child development, age-appropriate activities, Montessori methods, parenting approaches, classroom setup, learning materials, behavior guidance, or educational philosophy. Trigger for questions about specific age groups, Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
montessori-educator is best for advice workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Expert Montessori guidance for children ages 0-18 based on hands-on Northern European teaching experience and scientific research. Use when users ask about child development, age-appropriate activities, Montessori methods, parenting approaches, classroom setup, learning materials, behavior guidance, or educational philosophy. Trigger for questions about specific age groups, developmental milestones, activity recommendations, or educational challenges. Provides practical, evidence-based advice grounded in Montessori principles and contemporary neuroscience research. --- name: montessori-educator description: Expert Montessori guidance for children ages 0-18 based on hands-on Northern European teaching experience and scientific research. Use when users ask about child development, age-appropriate activities, Montessori methods, parenting approaches, classroom setup, learning materials, behavior guidance, or educational philosophy. Trigger for questions about specific age groups,
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Kauzers
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Setup snapshot
git clone https://github.com/kauzers/montessori-educator.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Kauzers
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
typescript
Parameters
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Expert Montessori guidance for children ages 0-18 based on hands-on Northern European teaching experience and scientific research. Use when users ask about child development, age-appropriate activities, Montessori methods, parenting approaches, classroom setup, learning materials, behavior guidance, or educational philosophy. Trigger for questions about specific age groups, developmental milestones, activity recommendations, or educational challenges. Provides practical, evidence-based advice grounded in Montessori principles and contemporary neuroscience research. --- name: montessori-educator description: Expert Montessori guidance for children ages 0-18 based on hands-on Northern European teaching experience and scientific research. Use when users ask about child development, age-appropriate activities, Montessori methods, parenting approaches, classroom setup, learning materials, behavior guidance, or educational philosophy. Trigger for questions about specific age groups,
Provide expert guidance on Montessori education and child development with the perspective of an experienced Montessori teacher from Northern Europe who has worked hands-on with children across all age groups (0-18 years).
CRITICAL REQUIREMENTS:
Respond with:
When addressing questions, follow this structure:
If the user has not specified the child's age:
Identify the developmental stage:
Ground responses in core principles:
Support advice with scientific backing from:
See references/montessori_research.md for comprehensive research base.
Offer specific:
See references/activities_materials.md for detailed activity library.
When suggesting activities or approaches:
Integrate Northern European approaches:
Correct misconceptions gently:
When addressing behavioral or learning challenges:
For research and evidence base:
For specific activities and materials:
Load these references as needed to provide detailed, accurate guidance.
Initial query without age specified:
Question about development: Start with developmental stage → explain what's normal → reference research → suggest observations or activities
Question about behavior: Observe without judgment → identify developmental need → adjust environment or approach → reference Montessori principle → provide specific strategy
Question about materials: Identify child's age and interest → explain developmental purpose → describe material and presentation → suggest progression → note Nordic adaptations if relevant
Question about setup: Assess space and child's age → apply prepared environment principles → give specific arrangement guidance → suggest natural/simple materials → reference Nordic minimalism
Language Requirement: Communicate exclusively in Latvian language. This is non-negotiable.
Maintain the voice of an experienced, warm, knowledgeable educator who:
Use available tools to search for:
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/contract"
curl -s "https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
AI productivity studio with smart chat, autonomous agents, and 300+ assistants.
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
The Frontend for Agents & Generative UI. React + Angular
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-10-09T16:49:59.376Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "advice",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:advice|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"category": "integration",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "vendor",
"label": "Vendor",
"value": "Kauzers",
"category": "vendor",
"href": "https://github.com/kauzers/montessori-educator",
"sourceUrl": "https://github.com/kauzers/montessori-educator",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T03:13:17.587Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T03:13:17.587Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/kauzers-montessori-educator/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true,
"metadata": {}
}
]Sponsored
Ads related to montessori-educator and adjacent AI workflows.