How should MultiAgent_CustomerSupport be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

MultiAgent_CustomerSupport answer-first brief

Multi-Agent Customer Support (CrewAI + Streamlit)-customer support system made of three agents that run one after another (sequentially) using the CrewAI framework, with a Streamlit user interface. 🛟 Customer Support Crew A production-ready customer support system built with **CrewAI** (sequential process), **Pydantic**, **MCP**, and a **Streamlit** UI. A user submits a query. Three agents run in strict order, each building on the last: 1. **Assistant** — answers from its own knowledge (informed by relevant past interactions retrieved from long-term memory). 2. **Web Search Assistant** — searches the web and a Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

MultiAgent_CustomerSupport 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

Card Facts Snapshot Contract Trust

Agent DossierGITHUB REPOSSafety: 66/100

MultiAgent_CustomerSupport

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Binduswaroopa Ship It

Artifacts

Benchmarks

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Unpublished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. Last updated 10/9/2026.

View Source

Setup snapshot

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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

Binduswaroopa Ship It

profilemedium

Observed Oct 9, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Oct 9, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

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

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB REPOS

Extracted files

Examples

Snippets

Languages

python

Executable Examples

text

User query
   │
   ▼
Input guardrail (Pydantic validation + prompt-injection check)
   │
   ▼
Memory retrieval ("Task 0", plain Python)
  embed query → fetch top-k similar past interactions (MemoryManager)
   │
   ▼
CrewAI sequential crew
  ┌───────────────┐   ┌───────────────────────┐   ┌───────────────┐
  │   Assistant   │──▶│ Web Search Assistant  │──▶│  Entry Agent  │
  │ (own knowledge│   │ (MCP/Serper/fallback  │   │ (writes .txt  │
  │  + memory ctx)│   │  web search)          │   │  via MCP fs   │
  └───────────────┘   └───────────────────────┘   │  tool, returns│
                                                    │  CrewResult)  │
                                                    └───────────────┘
   │
   ▼
Memory write-back + token usage extraction
   │
   ▼
Streamlit UI: both answers, log file download, diagnostics panel

bash

git clone <this-repo-url>
cd <repo-directory>
python -m venv .venv && source .venv/bin/activate   # optional but recommended
pip install -r requirements.txt
cp .env.example .env
# edit .env and set at least OPENAI_API_KEY or ANTHROPIC_API_KEY
streamlit run app.py

bash

MCP_SEARCH_SERVER_CMD=npx -y @modelcontextprotocol/server-brave-search
MCP_FS_SERVER_CMD=npx -y @modelcontextprotocol/server-filesystem /abs/allowed/dir

text

.
├── app.py              # entire app: settings, models, guardrails, memory,
│                        # tools, agents, tasks, crew, orchestration, Streamlit UI
├── requirements.txt
├── .env.example
├── .gitignore
└── README.md

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Full README

🛟 Customer Support Crew

A production-ready customer support system built with CrewAI (sequential process), Pydantic, MCP, and a Streamlit UI.

A user submits a query. Three agents run in strict order, each building on the last:

Assistant — answers from its own knowledge (informed by relevant past interactions retrieved from long-term memory).
Web Search Assistant — searches the web and answers from the results.
Entry Agent — logs the query and both answers to a .txt file and returns a structured result.

The UI shows both answers, confirms the log file was written, and includes a diagnostics panel: token usage, retrieved memory chunks, and embedding info.

Features

Sequential CrewAI crew with exactly three agents, in exact order.
Pydantic models for every structured data contract (settings, query, memory chunks, agent answers, final result, token usage) — no regex-parsed strings.
Guardrails at three points: input (before any tokens are spent), per-agent-answer (empty/oversized/secret-leak checks), and on the Entry Agent's final output (schema + file-existence check), with automatic retry.
Long-term memory / RAG: queries are embedded, the top-k most similar past interactions are retrieved and injected as context, and new Q&A pairs are written back after each run. Uses chromadb if available, with a JSON-file fallback so it always works.
MCP integration for web search and file writing, with clearly-logged fallbacks (SerperDevTool / built-in search scrape, plain file I/O) so the app never breaks just because an MCP server isn't running.
Full diagnostics UI: token usage breakdown, retrieved memory chunks with similarity scores, embedding model/dimension/store size, and which tool (MCP vs. fallback) served each request.
No hard-coded secrets — everything is read from the environment / .env.

Architecture

User query
   │
   ▼
Input guardrail (Pydantic validation + prompt-injection check)
   │
   ▼
Memory retrieval ("Task 0", plain Python)
  embed query → fetch top-k similar past interactions (MemoryManager)
   │
   ▼
CrewAI sequential crew
  ┌───────────────┐   ┌───────────────────────┐   ┌───────────────┐
  │   Assistant   │──▶│ Web Search Assistant  │──▶│  Entry Agent  │
  │ (own knowledge│   │ (MCP/Serper/fallback  │   │ (writes .txt  │
  │  + memory ctx)│   │  web search)          │   │  via MCP fs   │
  └───────────────┘   └───────────────────────┘   │  tool, returns│
                                                    │  CrewResult)  │
                                                    └───────────────┘
   │
   ▼
Memory write-back + token usage extraction
   │
   ▼
Streamlit UI: both answers, log file download, diagnostics panel

Setup

git clone <this-repo-url>
cd <repo-directory>
python -m venv .venv && source .venv/bin/activate   # optional but recommended
pip install -r requirements.txt
cp .env.example .env
# edit .env and set at least OPENAI_API_KEY or ANTHROPIC_API_KEY
streamlit run app.py

Open the URL Streamlit prints (usually http://localhost:8501).

Optional: connect real MCP servers

By default the app runs entirely without any MCP server, using built-in fallbacks. To use real MCP servers instead, set in .env:

MCP_SEARCH_SERVER_CMD=npx -y @modelcontextprotocol/server-brave-search
MCP_FS_SERVER_CMD=npx -y @modelcontextprotocol/server-filesystem /abs/allowed/dir

The diagnostics panel in the UI shows whether each run used the MCP server or serper or fall back, so you can confirm your configuration is being picked up.

Environment variables

See .env.example for the full, commented list. In short:

| Variable | Required | Purpose | |---|---|---| | OPENAI_API_KEY | One required | LLM provider key | | SERPER_API_KEY | One required | Web search fallback if no MCP search server |

Project structure

.
├── app.py              # entire app: settings, models, guardrails, memory,
│                        # tools, agents, tasks, crew, orchestration, Streamlit UI
├── requirements.txt
├── .env.example
├── .gitignore
└── README.md

Notes

storage/ and support_log.txt are created at runtime and are git-ignored — they hold your local vector store and interaction log.
If a required LLM key is missing, the app fails fast with a clear error in the UI instead of crashing.
Every external dependency (MCP servers, remote embeddings, native CrewAI memory internals) degrades gracefully and logs what happened — the app is designed to never hard-crash on a missing/misbehaving integration.

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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-binduswaroopa-ship-it-multiagent-customersupport/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/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 ReposUpdated 9h agoRank 70

AionUi

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!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

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

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW

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-binduswaroopa-ship-it-multiagent-customersupport/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T03:52:09.256Z"
    }
  },
  "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": "Binduswaroopa Ship It",
    "href": "https://github.com/binduswaroopa-ship-it/MultiAgent_CustomerSupport",
    "sourceUrl": "https://github.com/binduswaroopa-ship-it/MultiAgent_CustomerSupport",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:16:45.526Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:16:45.526Z",
    "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://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-binduswaroopa-ship-it-multiagent-customersupport/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
  }
]