Crawler Summary
CrewAI extension for hierarchical multi-agent coding. Senior LLM architects scaffolding with # TODO markers, small local models implement in parallel. Recursive QA loop with pytest. Runs fully offline on consumer GPU. tiered-crew A CrewAI configuration pattern for hierarchical multi-agent systems with hybrid local/cloud routing and recursive coding loops. Instead of running all agents on the same model, tiered-crew splits work across model sizes: a large model architect plans, and small local models execute. --- Core Concepts - **Senior Tier**: The **Orchestrator** (Manager) manages the process, while the **Architect** builds the Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
Tiered-crew is best for crewai, multi-agent workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB REPOS, runtime-metrics, public facts pack
CrewAI extension for hierarchical multi-agent coding. Senior LLM architects scaffolding with # TODO markers, small local models implement in parallel. Recursive QA loop with pytest. Runs fully offline on consumer GPU. tiered-crew A CrewAI configuration pattern for hierarchical multi-agent systems with hybrid local/cloud routing and recursive coding loops. Instead of running all agents on the same model, tiered-crew splits work across model sizes: a large model architect plans, and small local models execute. --- Core Concepts - **Senior Tier**: The **Orchestrator** (Manager) manages the process, while the **Architect** builds the
Public facts
5
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Tonioan 0
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Unpublished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. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Setup snapshot
Setup 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
Tonioan 0
Protocol compatibility
OpenClaw
Adoption signal
1 GitHub stars
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
6
Snippets
0
Languages
python
text
User request
│
▼
┌──────────────────────────┐
│ Senior Orchestrator │ (no tools)
└──────────┬───────────────┘
▼
┌──────────────────────────┐
│ Technical Architect │ (FileWriterTool)
│ - Writes .py scaffolding│
│ - Adds # TODO markers │
└──────────┬───────────────┘
│
┌─────┴─────┐
▼ ▼
┌──────────┐ ┌──────────┐
│ TODO Scan│ │ QA Run │ (Pure Python)
└────┬─────┘ └────▲─────┘
│ │
▼ │ iterates
┌──────────┐ │
│ Juniors │──────┘
│ (Local) │ Implement TODOs
└──────────┘bash
# Required for scaffolding and QA pip install "crewai[embeddings,tools]>=1.10.1" crewai-tools pytest tiktoken
bash
ollama pull gemma3:9b # Senior ollama pull qwen2.5:0.5b # Junior ollama pull nomic-embed-text # Embedder
bash
cp .env.example .env # Edit .env to set budgets and log files
bash
python examples/coding_loop/run.py
text
tiered-crew/ ├── src/tiered_crew/ │ ├── crew.py # Lead Architect + Team Junior assembly │ └── extensions/ │ ├── todo_scanner.py # AST-based TODO detection │ ├── qa_runner.py # Subprocess pytest wrapper │ ├── guardrails.py # Output validation pipeline │ ├── cost_tracker.py # Budget enforcement │ └── tracer.py # JSONL telemetry ├── examples/ │ ├── smoke_test.py # 10-point system health check │ └── coding_loop/ │ └── run.py # The recursive agentic loop └── docs/decisions/ # ADRs for observability, cost, etc.
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
CrewAI extension for hierarchical multi-agent coding. Senior LLM architects scaffolding with # TODO markers, small local models implement in parallel. Recursive QA loop with pytest. Runs fully offline on consumer GPU. tiered-crew A CrewAI configuration pattern for hierarchical multi-agent systems with hybrid local/cloud routing and recursive coding loops. Instead of running all agents on the same model, tiered-crew splits work across model sizes: a large model architect plans, and small local models execute. --- Core Concepts - **Senior Tier**: The **Orchestrator** (Manager) manages the process, while the **Architect** builds the
A CrewAI configuration pattern for hierarchical multi-agent systems with hybrid local/cloud routing and recursive coding loops.
Instead of running all agents on the same model, tiered-crew splits work across model sizes: a large model architect plans, and small local models execute.
# TODO markers.# TODO regions.tiered-crew adds several modules to fill gaps CrewAI does not cover natively:
User request
│
▼
┌──────────────────────────┐
│ Senior Orchestrator │ (no tools)
└──────────┬───────────────┘
▼
┌──────────────────────────┐
│ Technical Architect │ (FileWriterTool)
│ - Writes .py scaffolding│
│ - Adds # TODO markers │
└──────────┬───────────────┘
│
┌─────┴─────┐
▼ ▼
┌──────────┐ ┌──────────┐
│ TODO Scan│ │ QA Run │ (Pure Python)
└────┬─────┘ └────▲─────┘
│ │
▼ │ iterates
┌──────────┐ │
│ Juniors │──────┘
│ (Local) │ Implement TODOs
└──────────┘
1. Install dependencies
# Required for scaffolding and QA
pip install "crewai[embeddings,tools]>=1.10.1" crewai-tools pytest tiktoken
2. Pull models via Ollama
ollama pull gemma3:9b # Senior
ollama pull qwen2.5:0.5b # Junior
ollama pull nomic-embed-text # Embedder
3. Configure environment
cp .env.example .env
# Edit .env to set budgets and log files
4. Run the coding loop
python examples/coding_loop/run.py
tiered-crew/
├── src/tiered_crew/
│ ├── crew.py # Lead Architect + Team Junior assembly
│ └── extensions/
│ ├── todo_scanner.py # AST-based TODO detection
│ ├── qa_runner.py # Subprocess pytest wrapper
│ ├── guardrails.py # Output validation pipeline
│ ├── cost_tracker.py # Budget enforcement
│ └── tracer.py # JSONL telemetry
├── examples/
│ ├── smoke_test.py # 10-point system health check
│ └── coding_loop/
│ └── run.py # The recursive agentic loop
└── docs/decisions/ # ADRs for observability, cost, etc.
MIT
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://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/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.
Rank
70
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
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
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!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-04-17T04:02:45.859Z"
}
},
"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": "crewai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "multi-agent",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Tonioan 0",
"href": "https://github.com/Tonioan-0/Tiered-crew",
"sourceUrl": "https://github.com/Tonioan-0/Tiered-crew",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:28.211Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:28.211Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1 GitHub stars",
"href": "https://github.com/Tonioan-0/Tiered-crew",
"sourceUrl": "https://github.com/Tonioan-0/Tiered-crew",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:28.211Z",
"isPublic": true
},
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on 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
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-tonioan-0-tiered-crew/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]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
}
]Sponsored
Ads related to Tiered-crew and adjacent AI workflows.