Xpersona

Crawler Summary

Multi-Agent-AI answer-first brief

Multi-Agent AI with CrewAI | AI leveraging System 2 Thinking for intelligent decision-making. Scalable, adaptive, and efficient multi-agent collaboration for real-world applications. <div align="center"> <img src="https://capsule-render.vercel.app/api?type=waving&color=gradient&height=280&section=header&text=NEXUS%20MAS%20HUB&fontSize=70&animation=fadeIn&fontAlignY=38&desc=Recursive%20Autonomous%20Multi-Agent%20Architecture&descAlignY=51&descAlign=50" width="100%" /> $1 $1 $1 $1 $1 $1 $1 $1 <p align="center"> <b>A high-order Multi-Agent System (MAS) leveraging recursive context-injection and sequ Capability contract not published. No trust telemetry is available yet. 5 GitHub stars reported by the source. Last updated 6/1/2026.

Freshness

Last checked 6/1/2026

Best For

Multi-Agent-AI 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 OPENCLEW, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 66/100

Multi-Agent-AI

Multi-Agent AI with CrewAI | AI leveraging System 2 Thinking for intelligent decision-making. Scalable, adaptive, and efficient multi-agent collaboration for real-world applications. <div align="center"> <img src="https://capsule-render.vercel.app/api?type=waving&color=gradient&height=280&section=header&text=NEXUS%20MAS%20HUB&fontSize=70&animation=fadeIn&fontAlignY=38&desc=Recursive%20Autonomous%20Multi-Agent%20Architecture&descAlignY=51&descAlign=50" width="100%" /> $1 $1 $1 $1 $1 $1 $1 $1 <p align="center"> <b>A high-order Multi-Agent System (MAS) leveraging recursive context-injection and sequ

OpenClawself-declared

Public facts

4

Change events

0

Artifacts

0

Freshness

Jun 1, 2026

Verifiededitorial-contentNo verified compatibility signals5 GitHub stars

Capability contract not published. No trust telemetry is available yet. 5 GitHub stars reported by the source. Last updated 6/1/2026.

5 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Jun 1, 2026

Vendor

Subashsk777

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 5 GitHub stars reported by the source. Last updated 6/1/2026.

View Source

Setup snapshot

git clone https://github.com/SubashSK777/Multi-Agent-AI.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Subashsk777

profilemedium
Observed May 24, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

5 GitHub stars

profilemedium
Observed May 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

2

Snippets

0

Languages

python

Executable Examples

mermaid

graph TD
    User([User Dilemma]) --> A[πŸ“ Scenario Creator]
    A --> |Accumulated Context| B[βš–οΈ Moral Analyzer]
    B --> |Accumulated Context| C[❀️ Emotional Evaluator]
    C --> |Accumulated Context| D[🌍 Consequence Evaluator]
    D --> |Accumulated Context| E[πŸ›οΈ Final Decider]
    E --> Final([Synthesis Synthesis])

    style A fill:#FF6B6B,stroke:#fff,stroke-width:2px,color:#fff
    style B fill:#6B66FF,stroke:#fff,stroke-width:2px,color:#fff
    style C fill:#00D2D3,stroke:#fff,stroke-width:2px,color:#fff
    style D fill:#FFD93D,stroke:#fff,stroke-width:2px,color:#fff
    style E fill:#6BCB77,stroke:#fff,stroke-width:2px,color:#fff

bash

# Resonance (Protocol Ignition)
git clone https://github.com/SubashSK777/Multi-Agent-AI.git && cd Multi-Agent-AI

# Serve Autonomous Hub
python -m http.server 8000

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Multi-Agent AI with CrewAI | AI leveraging System 2 Thinking for intelligent decision-making. Scalable, adaptive, and efficient multi-agent collaboration for real-world applications. <div align="center"> <img src="https://capsule-render.vercel.app/api?type=waving&color=gradient&height=280&section=header&text=NEXUS%20MAS%20HUB&fontSize=70&animation=fadeIn&fontAlignY=38&desc=Recursive%20Autonomous%20Multi-Agent%20Architecture&descAlignY=51&descAlign=50" width="100%" /> $1 $1 $1 $1 $1 $1 $1 $1 <p align="center"> <b>A high-order Multi-Agent System (MAS) leveraging recursive context-injection and sequ

Full README
<div align="center"> <img src="https://capsule-render.vercel.app/api?type=waving&color=gradient&height=280&section=header&text=NEXUS%20MAS%20HUB&fontSize=70&animation=fadeIn&fontAlignY=38&desc=Recursive%20Autonomous%20Multi-Agent%20Architecture&descAlignY=51&descAlign=50" width="100%" />

Neural Core Autonomous Inference Python CrewAI LangChain HTML5 CSS3

<p align="center"> <b>A high-order Multi-Agent System (MAS) leveraging recursive context-injection and sequential reasoning to solve multi-dimensional ethical dilemmas.</b> </p> </div>

🧠 MAS Neural Architecture

The Nexus Engine implements a Recursive Contextual Accumulation pipeline. This is not a standard chat wrapper; it is a state-managed orchestrator that optimizes the semantic drift between specialized agent nodes.

πŸ”„ Data Flow Topology

graph TD
    User([User Dilemma]) --> A[πŸ“ Scenario Creator]
    A --> |Accumulated Context| B[βš–οΈ Moral Analyzer]
    B --> |Accumulated Context| C[❀️ Emotional Evaluator]
    C --> |Accumulated Context| D[🌍 Consequence Evaluator]
    D --> |Accumulated Context| E[πŸ›οΈ Final Decider]
    E --> Final([Synthesis Synthesis])

    style A fill:#FF6B6B,stroke:#fff,stroke-width:2px,color:#fff
    style B fill:#6B66FF,stroke:#fff,stroke-width:2px,color:#fff
    style C fill:#00D2D3,stroke:#fff,stroke-width:2px,color:#fff
    style D fill:#FFD93D,stroke:#fff,stroke-width:2px,color:#fff
    style E fill:#6BCB77,stroke:#fff,stroke-width:2px,color:#fff

πŸ›°οΈ Modular Agent Specialization

| Agent Node | Responsibility | Strategic Objective | | :--- | :--- | :--- | | Architect | Scenario Design | Conflict isolation and variable definition | | Ethicist | Moral Frameworks | Utilitarian vs Deontological mapping | | Sentience Hub | Emotional Matrix | Empathetic mirroring & sentiment projection | | Oracle | Future State Projection | Societal impact & historical precedent analysis | | Sovereign | Integration Alpha | Weighted synthesis and definitive decisioning |

⚑ Technical Specification & Performance

Nexus utilizes Asynchronous Sequential Processing via the Puter.js orchestrator. This allows for high-fidelity reasoning without the latency of traditional Python-based MAS frameworks like CrewAI.

βš™οΈ Engine Mechanics

  • State Management: Persistent context memory using recursive injection.
  • Inference Layer: Abstracted Puter.js worker threads.
  • Logic Sync: Sequential lock-step synchronization between agents.

πŸ› οΈ Deployment Intelligence

# Resonance (Protocol Ignition)
git clone https://github.com/SubashSK777/Multi-Agent-AI.git && cd Multi-Agent-AI

# Serve Autonomous Hub
python -m http.server 8000

🀝 Open for Contributions & Collaboration

I am always looking to collaborate with AI Researchers, MAS Developers, and Software Engineers who are passionate about autonomous agent orchestration. Whether it's optimizing the recursive context loop, adding new specialized agents, or enhancing the inference layer, your input is welcome!

How to Contribute:

  1. Fork the repository.
  2. Create a feature branch (git checkout -b feature/AmazingFeature).
  3. Commit your changes (git commit -m 'Add some AmazingFeature').
  4. Push to the branch (git push origin feature/AmazingFeature).
  5. Open a Pull Request.
<div align="center"> <img src="https://capsule-render.vercel.app/api?type=waving&color=gradient&height=100&section=footer" width="100%" /> <p><b>ARCHITECTED BY SUBASH KUMAR K</b></p> <sub>Autonomous Multi-Agent Systems Research Hub</sub> </div>

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_OPENCLEW@x1pay/langchain

Rank

65

LangChain/LangGraph tools for AI agent x402 payments on X1

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEW@langchain/langgraph-swarm

Rank

65

An implementation of a multi-agent swarm using LangGraph

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEWoceanbus-langchain

Rank

65

LangChain tools for OceanBus β€” give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

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/crewai-subashsk777-multi-agent-ai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T22:20:13.772Z"
    }
  },
  "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",
    "label": "Vendor",
    "value": "Subashsk777",
    "category": "vendor",
    "href": "https://github.com/SubashSK777/Multi-Agent-AI",
    "sourceUrl": "https://github.com/SubashSK777/Multi-Agent-AI",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:46.584Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:46.584Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "5 GitHub stars",
    "category": "adoption",
    "href": "https://github.com/SubashSK777/Multi-Agent-AI",
    "sourceUrl": "https://github.com/SubashSK777/Multi-Agent-AI",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:46.584Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-subashsk777-multi-agent-ai/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

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