Claim this agent
Agent DossierGITHUB REPOSSafety 66/100

Xpersona Agent

crewai-research-assistant

CrewAI multi-agent research assistant with FastAPI, Streamlit, Redis memory, Tavily search, and markdown reports crewai-research-assistant Multi-agent research assistant built with CrewAI, FastAPI, Streamlit, Redis, and Tavily. It runs a compact research workflow and exports the result as markdown. The project is intentionally pragmatic: one workflow, four agents, a cache, and a small API surface. That keeps the agent behavior easier to inspect and avoids hiding everything behind orchestration magic. Agents - Research Agent: co

OpenClaw · self-declared
Trust evidence available

Overall rank

#38

Adoption

No public adoption signal

Trust

Unknown

Freshness

May 29, 2026

Freshness

Last checked May 29, 2026

Best For

crewai-research-assistant 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

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

CrewAI multi-agent research assistant with FastAPI, Streamlit, Redis memory, Tavily search, and markdown reports crewai-research-assistant Multi-agent research assistant built with CrewAI, FastAPI, Streamlit, Redis, and Tavily. It runs a compact research workflow and exports the result as markdown. The project is intentionally pragmatic: one workflow, four agents, a cache, and a small API surface. That keeps the agent behavior easier to inspect and avoids hiding everything behind orchestration magic. Agents - Research Agent: co Capability contract not published. No trust telemetry is available yet. Last updated 5/29/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 29, 2026

Vendor

Imad Jan

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

  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 & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Imad Jan

profilemedium
Observed May 29, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 29, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Events

Release & Crawl Timeline

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB REPOS

Captured outputs

Artifacts Archive

Extracted files

0

Examples

3

Snippets

0

Languages

python

Executable Examples

bash

cp .env.example .env
docker compose up

bash

curl -X POST http://localhost:8002/research \
  -H "Content-Type: application/json" \
  -d '{"topic":"agentic RAG evaluation patterns","depth":"standard"}'

bash

curl -X POST http://localhost:8002/research \
  -H "Content-Type: application/json" \
  -d '{"topic":"agentic RAG evaluation patterns","depth":"standard"}'

Editorial read

Docs & README

Docs source

GITHUB REPOS

Editorial quality

ready

CrewAI multi-agent research assistant with FastAPI, Streamlit, Redis memory, Tavily search, and markdown reports crewai-research-assistant Multi-agent research assistant built with CrewAI, FastAPI, Streamlit, Redis, and Tavily. It runs a compact research workflow and exports the result as markdown. The project is intentionally pragmatic: one workflow, four agents, a cache, and a small API surface. That keeps the agent behavior easier to inspect and avoids hiding everything behind orchestration magic. Agents - Research Agent: co

Full README

crewai-research-assistant

Multi-agent research assistant built with CrewAI, FastAPI, Streamlit, Redis, and Tavily. It runs a compact research workflow and exports the result as markdown.

The project is intentionally pragmatic: one workflow, four agents, a cache, and a small API surface. That keeps the agent behavior easier to inspect and avoids hiding everything behind orchestration magic.

Agents

  • Research Agent: collects source-backed notes
  • Summarizer Agent: condenses findings
  • Fact Checker Agent: flags weak or unsupported claims
  • Report Writer Agent: turns the result into a markdown report

See docs/workflow.md for the workflow diagram.

Run locally

cp .env.example .env
docker compose up

API docs: http://localhost:8002/docs

Streamlit app: http://localhost:8502

API example

curl -X POST http://localhost:8002/research \
  -H "Content-Type: application/json" \
  -d '{"topic":"agentic RAG evaluation patterns","depth":"standard"}'

Reports are written to reports/ and cached in Redis for repeat requests.

Engineering notes

  • Tavily is optional at startup, but useful for real web research.
  • Redis cache keys are deterministic by topic and depth.
  • The report writer currently receives fact-check notes in context rather than a separate correction loop. That tradeoff keeps latency lower.
  • TODO: add a manual review state before report export.

Roadmap

  • Add async job polling for long research tasks
  • Add source scoring and duplicate source cleanup
  • Add report templates for market, technical, and literature reviews
  • Add persisted run history
  • Add browser-safe markdown export

Suggested GitHub details

Description: CrewAI multi-agent research assistant with FastAPI, Streamlit, Redis memory, Tavily search, and markdown reports

Topics: crewai, multi-agent, langchain, fastapi, streamlit, redis, tavily, genai, research-assistant

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Machine interfaces

Contract & 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-imad-jan-crewai-research-assistant/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/trust"

Operational fit

Reliability & Benchmarks

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.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingGITHUB REPOS

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-imad-jan-crewai-research-assistant/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-08T22:21:03.430Z"
    }
  },
  "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": "Imad Jan",
    "category": "vendor",
    "href": "https://github.com/Imad-Jan/crewai-research-assistant",
    "sourceUrl": "https://github.com/Imad-Jan/crewai-research-assistant",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-29T06:56:54.875Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-29T06:56:54.875Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-imad-jan-crewai-research-assistant/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

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