Rank
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. --- name: deep-research-pro version: 1.0.0 description: "Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required." homepage: https://github.com/paragshah/deep-research-pro metadata: {"clawdbot":{"emoji":"๐ฌ","category":"research"}} --- Deep Research Pro ๐ฌ A powerful, self-contained deep research skill that produces thorough, cited reports from multip Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/14/2026.
Freshness
Last checked 4/14/2026
Best For
deep-research-pro 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
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. --- name: deep-research-pro version: 1.0.0 description: "Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required." homepage: https://github.com/paragshah/deep-research-pro metadata: {"clawdbot":{"emoji":"๐ฌ","category":"research"}} --- Deep Research Pro ๐ฌ A powerful, self-contained deep research skill that produces thorough, cited reports from multip
Public facts
5
Change events
1
Artifacts
0
Freshness
Apr 14, 2026
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/14/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 14, 2026
Vendor
Paragshah
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Unpublished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. 1 GitHub stars reported by the source. Last updated 4/14/2026.
Setup snapshot
git clone https://github.com/parags/deep-research-pro.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
Paragshah
Protocol compatibility
OpenClaw
Adoption signal
1 GitHub stars
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
6
Snippets
0
Languages
typescript
Parameters
bash
# Web search /home/clawdbot/clawd/skills/ddg-search/scripts/ddg "<sub-question keywords>" --max 8 # News search (for current events) /home/clawdbot/clawd/skills/ddg-search/scripts/ddg news "<topic>" --max 5
bash
curl -sL "<url>" | python3 -c "
bash
curl -sL "<url>" | python3 -c "
import sys, re
html = sys.stdin.read()
# Strip tags, get text
text = re.sub('<[^>]+>', ' ', html)
text = re.sub(r'\s+', ' ', text).strip()
print(text[:5000])
"markdown
# [Topic]: Deep Research Report *Generated: [date] | Sources: [N] | Confidence: [High/Medium/Low]* ## Executive Summary [3-5 sentence overview of key findings] ## 1. [First Major Theme] [Findings with inline citations] - Key point ([Source Name](url)) - Supporting data ([Source Name](url)) ## 2. [Second Major Theme] ... ## 3. [Third Major Theme] ... ## Key Takeaways - [Actionable insight 1] - [Actionable insight 2] - [Actionable insight 3] ## Sources 1. [Title](url) โ [one-line summary] 2. ... ## Methodology Searched [N] queries across web and news. Analyzed [M] sources. Sub-questions investigated: [list]
bash
mkdir -p ~/clawd/research/[slug] # Write report to ~/clawd/research/[slug]/report.md
text
"Research the current state of nuclear fusion energy" "Deep dive into Rust vs Go for backend services in 2026" "Research the best strategies for bootstrapping a SaaS business" "What's happening with the US housing market right now?"
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. --- name: deep-research-pro version: 1.0.0 description: "Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required." homepage: https://github.com/paragshah/deep-research-pro metadata: {"clawdbot":{"emoji":"๐ฌ","category":"research"}} --- Deep Research Pro ๐ฌ A powerful, self-contained deep research skill that produces thorough, cited reports from multip
A powerful, self-contained deep research skill that produces thorough, cited reports from multiple web sources. No paid APIs required โ uses DuckDuckGo search.
When the user asks for research on any topic, follow this workflow:
Ask 1-2 quick clarifying questions:
If the user says "just research it" โ skip ahead with reasonable defaults.
Break the topic into 3-5 research sub-questions. For example:
For EACH sub-question, run the DDG search script:
# Web search
/home/clawdbot/clawd/skills/ddg-search/scripts/ddg "<sub-question keywords>" --max 8
# News search (for current events)
/home/clawdbot/clawd/skills/ddg-search/scripts/ddg news "<topic>" --max 5
Search strategy:
For the most promising URLs, fetch full content:
curl -sL "<url>" | python3 -c "
import sys, re
html = sys.stdin.read()
# Strip tags, get text
text = re.sub('<[^>]+>', ' ', html)
text = re.sub(r'\s+', ' ', text).strip()
print(text[:5000])
"
Read 3-5 key sources in full for depth. Don't just rely on search snippets.
Structure the report as:
# [Topic]: Deep Research Report
*Generated: [date] | Sources: [N] | Confidence: [High/Medium/Low]*
## Executive Summary
[3-5 sentence overview of key findings]
## 1. [First Major Theme]
[Findings with inline citations]
- Key point ([Source Name](url))
- Supporting data ([Source Name](url))
## 2. [Second Major Theme]
...
## 3. [Third Major Theme]
...
## Key Takeaways
- [Actionable insight 1]
- [Actionable insight 2]
- [Actionable insight 3]
## Sources
1. [Title](url) โ [one-line summary]
2. ...
## Methodology
Searched [N] queries across web and news. Analyzed [M] sources.
Sub-questions investigated: [list]
Save the full report:
mkdir -p ~/clawd/research/[slug]
# Write report to ~/clawd/research/[slug]/report.md
Then deliver:
"Research the current state of nuclear fusion energy"
"Deep dive into Rust vs Go for backend services in 2026"
"Research the best strategies for bootstrapping a SaaS business"
"What's happening with the US housing market right now?"
When spawning as a sub-agent, include the full research request and context:
sessions_spawn(
task: "Run deep research on [TOPIC]. Follow the deep-research-pro SKILL.md workflow.
Read /home/clawdbot/clawd/skills/deep-research-pro/SKILL.md first.
Goal: [user's goal]
Specific angles: [any specifics]
Save report to ~/clawd/research/[slug]/report.md
When done, wake the main session with key findings.",
label: "research-[slug]",
model: "opus"
)
/home/clawdbot/clawd/skills/ddg-search/scripts/ddgMachine 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/parags-deep-research-pro/snapshot"
curl -s "https://xpersona.co/api/v1/agents/parags-deep-research-pro/contract"
curl -s "https://xpersona.co/api/v1/agents/parags-deep-research-pro/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 โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข 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 | ๐ 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/parags-deep-research-pro/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/parags-deep-research-pro/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/parags-deep-research-pro/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/parags-deep-research-pro/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/parags-deep-research-pro/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/parags-deep-research-pro/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T00:43:44.595Z"
}
},
"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": "Paragshah",
"href": "https://github.com/paragshah/deep-research-pro",
"sourceUrl": "https://github.com/paragshah/deep-research-pro",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-14T22:24:53.188Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/parags-deep-research-pro/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/parags-deep-research-pro/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-14T22:24:53.188Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1 GitHub stars",
"href": "https://github.com/parags/deep-research-pro",
"sourceUrl": "https://github.com/parags/deep-research-pro",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-14T22:24:53.188Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/parags-deep-research-pro/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/parags-deep-research-pro/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub ยท 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
Ads related to deep-research-pro and adjacent AI workflows.