Xpersona

Crawler Summary

research-agents answer-first brief

Production-ready multi-agent research system — FastAPI + React + Groq + WebSocket. Includes step-by-step guide for LangChain/CrewAI/n8n developers. Research Agents A multi-agent research system built from scratch — no LangChain, no CrewAI. You give it a question, it searches the web, reads the pages, synthesizes the findings, and writes a markdown report. A React dashboard streams every agent action live via WebSocket as it happens. **~725 lines of Python and React. Fully functional. 100% free APIs.** --- What it does 1. You type a research question into the das Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

research-agents 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

CardFactsSnapshotContractTrust
Agent DossierGITHUB REPOSSafety: 66/100

research-agents

Production-ready multi-agent research system — FastAPI + React + Groq + WebSocket. Includes step-by-step guide for LangChain/CrewAI/n8n developers. Research Agents A multi-agent research system built from scratch — no LangChain, no CrewAI. You give it a question, it searches the web, reads the pages, synthesizes the findings, and writes a markdown report. A React dashboard streams every agent action live via WebSocket as it happens. **~725 lines of Python and React. Fully functional. 100% free APIs.** --- What it does 1. You type a research question into the das

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

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

Gkaransail

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Unpublished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. Last updated 10/9/2026.

View Source

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 Ledger

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

Verifiededitorial-content
Vendor (1)

Vendor

Gkaransail

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

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

0

Examples

6

Snippets

0

Languages

python

Executable Examples

text

Query → OrchestratorAgent (plans queries)
          ├── SearchAgent     → DuckDuckGo results
          ├── ReaderAgent     → page content via Jina AI
          ├── AnalyzerAgent   → LLM synthesis
          └── WriterAgent     → markdown report saved to disk

bash

git clone https://github.com/gkaransail/research-agents.git
cd research-agents

bash

cd backend
pip install -r requirements.txt

text

GROQ_API_KEY=gsk_...          # Required — get free at console.groq.com
PRIMARY_MODEL=llama-3.3-70b-versatile
FAST_MODEL=llama-3.1-8b-instant
MAX_SEARCH_RESULTS=8
MAX_READ_URLS=5

bash

uvicorn main:app --host 0.0.0.0 --port 8001 --reload

bash

cd frontend
npm install
npm run dev

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Production-ready multi-agent research system — FastAPI + React + Groq + WebSocket. Includes step-by-step guide for LangChain/CrewAI/n8n developers. Research Agents A multi-agent research system built from scratch — no LangChain, no CrewAI. You give it a question, it searches the web, reads the pages, synthesizes the findings, and writes a markdown report. A React dashboard streams every agent action live via WebSocket as it happens. **~725 lines of Python and React. Fully functional. 100% free APIs.** --- What it does 1. You type a research question into the das

Full README

Research Agents

A multi-agent research system built from scratch — no LangChain, no CrewAI. You give it a question, it searches the web, reads the pages, synthesizes the findings, and writes a markdown report. A React dashboard streams every agent action live via WebSocket as it happens.

~725 lines of Python and React. Fully functional. 100% free APIs.

Pipeline Stack LLM

What it does

  1. You type a research question into the dashboard
  2. The OrchestratorAgent uses an LLM to plan 3–5 targeted search queries
  3. The SearchAgent runs them through DuckDuckGo (no API key needed)
  4. The ReaderAgent fetches and extracts content from the top URLs via Jina AI
  5. The AnalyzerAgent synthesizes everything into a structured analysis
  6. The WriterAgent turns that analysis into a polished markdown report, saved to research_outputs/

Every step is visible in real time on the dashboard — you watch agents think, search, read, and write as it happens.

Agent pipeline

Query → OrchestratorAgent (plans queries)
          ├── SearchAgent     → DuckDuckGo results
          ├── ReaderAgent     → page content via Jina AI
          ├── AnalyzerAgent   → LLM synthesis
          └── WriterAgent     → markdown report saved to disk

| Agent | Role | Model/Tool | |---|---|---| | OrchestratorAgent | Plans queries, coordinates pipeline | Groq llama-3.3-70b-versatile | | SearchAgent | Web search | DuckDuckGo (free, no key) | | ReaderAgent | Page content extraction | Jina AI Reader (free tier) | | AnalyzerAgent | Research synthesis | Groq llama-3.3-70b-versatile | | WriterAgent | Report writing + file save | Groq llama-3.3-70b-versatile |

Stack

| Layer | Tech | |---|---| | Backend | FastAPI + Python 3.11+ | | LLM | Groq API (free tier — 30 req/min) | | Search | duckduckgo_search (no API key) | | Reader | Jina AI r.jina.ai (free tier) | | Database | SQLite + aiosqlite | | Real-time | WebSocket (native FastAPI) | | Frontend | React 18 + Vite + Tailwind CSS |

Setup

1. Clone

git clone https://github.com/gkaransail/research-agents.git
cd research-agents

2. Backend

cd backend
pip install -r requirements.txt

Create .env in the backend/ directory:

GROQ_API_KEY=gsk_...          # Required — get free at console.groq.com
PRIMARY_MODEL=llama-3.3-70b-versatile
FAST_MODEL=llama-3.1-8b-instant
MAX_SEARCH_RESULTS=8
MAX_READ_URLS=5

Start the server:

uvicorn main:app --host 0.0.0.0 --port 8001 --reload

3. Frontend

cd frontend
npm install
npm run dev

Open http://localhost:5174

Usage

  1. Open the dashboard at http://localhost:5174
  2. Click New Research and enter any question
  3. Watch the agent timeline update live as each agent works
  4. When complete, click View Report to read the markdown output
  5. Reports are also saved to research_outputs/ as .md files

Project structure

research_agents/
├── backend/
│   ├── main.py                 # FastAPI app + WebSocket server
│   ├── agents/
│   │   ├── base.py             # BaseAgent — subclass this to add agents
│   │   ├── registry.py         # @register_agent decorator + auto-discovery
│   │   ├── orchestrator.py     # Pipeline coordinator
│   │   ├── searcher.py         # DuckDuckGo search
│   │   ├── reader.py           # Jina AI content extraction
│   │   ├── analyzer.py         # LLM synthesis
│   │   └── writer.py           # LLM report writing
│   ├── core/
│   │   ├── config.py           # Pydantic settings
│   │   ├── database.py         # SQLite schema + CRUD
│   │   ├── llm.py              # Groq client with retry + backoff
│   │   └── workflow.py         # WorkflowManager + WebSocket broadcaster
│   └── models/
│       └── schemas.py          # Pydantic request/response schemas
├── frontend/
│   └── src/
│       ├── App.jsx
│       ├── components/
│       │   ├── NewResearch.jsx
│       │   ├── WorkflowList.jsx
│       │   ├── WorkflowDetail.jsx
│       │   ├── AgentTimeline.jsx  # Live event stream
│       │   └── OutputViewer.jsx   # Markdown viewer
│       └── hooks/
│           └── useWorkflow.js     # WebSocket hook
├── research_outputs/           # Generated .md reports
├── logs/
└── docker-compose.yml

Adding a new agent

  1. Create backend/agents/my_agent.py:
from agents.base import BaseAgent
from agents.registry import register_agent

@register_agent("my_agent")
class MyAgent(BaseAgent):
    async def run(self, task: dict) -> dict:
        await self.emit("thinking", "Starting...")
        # do work
        await self.emit("completed", "Done!", data={"result": "..."})
        return {"result": "..."}
  1. Add one import in main.py:
import agents.my_agent  # noqa
  1. Wire it into agents/orchestrator.py where it fits in the pipeline.

That's it — the registry discovers it automatically.

How it compares to frameworks

| Feature | This project | LangChain | CrewAI | |---|---|---|---| | Lines of code | ~725 | ~80,000 | ~5,000 | | Agent contract | BaseAgent.run() | AgentExecutor | Agent class | | Orchestration | OrchestratorAgent | SequentialChain | Crew | | Memory | SQLite workflow_events | ConversationBufferMemory | Built-in | | Real-time UI | WebSocket dashboard | None | None | | Code you own | 100% | ~10% | ~20% |

Ports

  • Backend API: 8001
  • Frontend: 5174

License

MIT

Contract & API

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

MissingGITHUB REPOS

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-gkaransail-research-agents/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-gkaransail-research-agents/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-gkaransail-research-agents/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.

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

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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-gkaransail-research-agents/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-gkaransail-research-agents/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-gkaransail-research-agents/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-gkaransail-research-agents/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-gkaransail-research-agents/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-gkaransail-research-agents/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:49:33.697Z"
    }
  },
  "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": "Gkaransail",
    "href": "https://github.com/gkaransail/research-agents",
    "sourceUrl": "https://github.com/gkaransail/research-agents",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:18:12.616Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-gkaransail-research-agents/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-gkaransail-research-agents/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:18:12.616Z",
    "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-gkaransail-research-agents/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-gkaransail-research-agents/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
  }
]

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