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
Crawler Summary
Deterministic layered architecture workflow with strict gate enforcement, verifiable research, and semantic cross-layer validation. --- name: layered-architect description: Deterministic layered architecture workflow with strict gate enforcement, verifiable research, and semantic cross-layer validation. --- Layered Architect (Agent Rules) **STRICT MODE: DO NOT PROCEED WITH WARNINGS OR ERRORS.** **FOLLOW THE STAGING SEQUENCE. DO NOT SKIP GATES.** **DO NOT MANUALLY EDIT .plan/gates.yml.** **RUN arch.py status AFTER EVERY FILE WRITE/EDIT.** **IF arc Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
layered-architect is best for general automation 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
Deterministic layered architecture workflow with strict gate enforcement, verifiable research, and semantic cross-layer validation. --- name: layered-architect description: Deterministic layered architecture workflow with strict gate enforcement, verifiable research, and semantic cross-layer validation. --- Layered Architect (Agent Rules) **STRICT MODE: DO NOT PROCEED WITH WARNINGS OR ERRORS.** **FOLLOW THE STAGING SEQUENCE. DO NOT SKIP GATES.** **DO NOT MANUALLY EDIT .plan/gates.yml.** **RUN arch.py status AFTER EVERY FILE WRITE/EDIT.** **IF arc
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
Gytisw
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Unpublished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/Gytisw/layered-architect.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
Gytisw
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
Deterministic layered architecture workflow with strict gate enforcement, verifiable research, and semantic cross-layer validation. --- name: layered-architect description: Deterministic layered architecture workflow with strict gate enforcement, verifiable research, and semantic cross-layer validation. --- Layered Architect (Agent Rules) **STRICT MODE: DO NOT PROCEED WITH WARNINGS OR ERRORS.** **FOLLOW THE STAGING SEQUENCE. DO NOT SKIP GATES.** **DO NOT MANUALLY EDIT .plan/gates.yml.** **RUN arch.py status AFTER EVERY FILE WRITE/EDIT.** **IF arc
STRICT MODE: DO NOT PROCEED WITH WARNINGS OR ERRORS.
FOLLOW THE STAGING SEQUENCE. DO NOT SKIP GATES.
DO NOT MANUALLY EDIT .plan/gates.yml.
RUN arch.py status AFTER EVERY FILE WRITE/EDIT.
IF arch.py next RETURNS A BLOCKER, FIX IT BEFORE ANY NEW LAYER DRAFTING.
Start here:
references/ARCHITECTURE_WORKFLOW.mdreferences/QUESTION_WORKFLOW.mdreferences/INDEX.mdUse only:
python scripts/arch.py ...Do not run legacy scripts directly.
python scripts/arch.py doctor --path .python scripts/arch.py init --path . --mode <strict|soft> --question-depth <minimal|thorough>python scripts/arch.py status --path .planpython scripts/arch.py next --path .planpython scripts/arch.py stage enter --path .plan --layer <L0|L1|L2|L3|L4|L5>python scripts/arch.py validate --path .plan --strictIf strict validation fails on a gate blocker, do not draft deeper layers. Execute only the blocker fix command.
python scripts/arch.py gate sync --path .plan --from .plan/last-validation.jsonpython scripts/arch.py research approve --path .plan --approved-by <name> --confirm-user-approvalpython scripts/arch.py semantic complete --path .plan --completed-by <name>If any gate receipt is missing or stale, progression is invalid.
If external dependencies are detected, research is required.
Required artifacts:
.plan/research.md.plan/research.evidence.jsonResearch evidence is invalid if it is memory-only prose. Evidence must map claims to concrete sources with retrieval timestamps and executor metadata.
In strict mode, missing evidence blocks progression. If runtime cannot execute web/subagent research, request user-provided evidence and remain blocked until supplied.
Run semantic validation after scripted validation:
python scripts/arch.py semantic scaffold --path .planpython scripts/arch.py semantic aggregate --path .planpython scripts/arch.py semantic validate --path .plan --strictThen mark completion via CLI:
python scripts/arch.py semantic complete --path .plan --completed-by <name>Do not declare completion without semantic completion receipt.
Use canonical guide:
references/QUESTION_WORKFLOW.mdThorough mode must include technical-depth questions (stack, data model, operability, failure modes), not only product intent. Ambiguous user answers must trigger constrained follow-up questions. Do not silently pick stack/deployment defaults when user input is ambiguous; ask constrained follow-up options first.
Architecture is complete only when:
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/gytisw-layered-architect/snapshot"
curl -s "https://xpersona.co/api/v1/agents/gytisw-layered-architect/contract"
curl -s "https://xpersona.co/api/v1/agents/gytisw-layered-architect/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 5d 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/gytisw-layered-architect/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/gytisw-layered-architect/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/gytisw-layered-architect/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/gytisw-layered-architect/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/gytisw-layered-architect/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/gytisw-layered-architect/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T01:03:43.398Z"
}
},
"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"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"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": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Gytisw",
"href": "https://github.com/Gytisw/layered-architect",
"sourceUrl": "https://github.com/Gytisw/layered-architect",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T02:12:18.015Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/gytisw-layered-architect/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/gytisw-layered-architect/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T02:12:18.015Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/gytisw-layered-architect/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/gytisw-layered-architect/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
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