Rank
65
LangChain/LangGraph tools for AI agent x402 payments on X1
Traction
No public download signal
Freshness
Updated 4mo ago
Crawler Summary
CrewAI adapter for pgns-agent pgns-agent-crewai CrewAI adapter for $1. Run CrewAI crews as pgns agents with automatic correlation ID propagation and signed webhook delivery. Quick Start How It Works The adapter calls crew.kickoff(inputs=task_input) with the incoming task payload as input variables. The CrewOutput is normalized into a pgns-agent result dict with: - output — the crew's raw output string (or structured Pydantic model) - metadata.tas Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.
Freshness
Last checked 5/31/2026
Best For
pgns-agent-crewai 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
CrewAI adapter for pgns-agent pgns-agent-crewai CrewAI adapter for $1. Run CrewAI crews as pgns agents with automatic correlation ID propagation and signed webhook delivery. Quick Start How It Works The adapter calls crew.kickoff(inputs=task_input) with the incoming task payload as input variables. The CrewOutput is normalized into a pgns-agent result dict with: - output — the crew's raw output string (or structured Pydantic model) - metadata.tas
Public facts
3
Change events
0
Artifacts
0
Freshness
May 31, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
May 31, 2026
Vendor
Pgns Io
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Unpublished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. Last updated 5/31/2026.
Setup snapshot
git clone https://github.com/pgns-io/pgns-agent-crewai.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
Pgns Io
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
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
2
Snippets
0
Languages
python
python
from crewai import Agent, Crew, Task
from pgns_agent import AgentServer
from pgns_agent_crewai import CrewAIAdapter
# Define your CrewAI crew
researcher = Agent(role="Researcher", goal="Find key facts about a topic")
task = Task(description="Research {topic}", agent=researcher)
crew = Crew(agents=[researcher], tasks=[task])
# Wrap it in a pgns agent
server = AgentServer("my-crew", "A CrewAI-powered research agent")
server.use(CrewAIAdapter(crew))
server.listen(3000)bash
pip install pgns-agent-crewai
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
CrewAI adapter for pgns-agent pgns-agent-crewai CrewAI adapter for $1. Run CrewAI crews as pgns agents with automatic correlation ID propagation and signed webhook delivery. Quick Start How It Works The adapter calls crew.kickoff(inputs=task_input) with the incoming task payload as input variables. The CrewOutput is normalized into a pgns-agent result dict with: - output — the crew's raw output string (or structured Pydantic model) - metadata.tas
CrewAI adapter for pgns-agent. Run CrewAI crews as pgns agents with automatic correlation ID propagation and signed webhook delivery.
from crewai import Agent, Crew, Task
from pgns_agent import AgentServer
from pgns_agent_crewai import CrewAIAdapter
# Define your CrewAI crew
researcher = Agent(role="Researcher", goal="Find key facts about a topic")
task = Task(description="Research {topic}", agent=researcher)
crew = Crew(agents=[researcher], tasks=[task])
# Wrap it in a pgns agent
server = AgentServer("my-crew", "A CrewAI-powered research agent")
server.use(CrewAIAdapter(crew))
server.listen(3000)
The adapter calls crew.kickoff(inputs=task_input) with the incoming task payload as input variables. The CrewOutput is normalized into a pgns-agent result dict with:
output — the crew's raw output string (or structured Pydantic model)metadata.tasks — per-task results (description, agent, raw output)metadata.token_usage — aggregate token usage when availablepip install pgns-agent-crewai
Apache-2.0
Machine 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://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/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
65
LangChain/LangGraph tools for AI agent x402 payments on X1
Traction
No public download signal
Freshness
Updated 4mo ago
Rank
65
An implementation of a multi-agent swarm using LangGraph
Traction
No public download signal
Freshness
Updated 4mo ago
Rank
65
LangGraph Multi-Agent Supervisor
Traction
No public download signal
Freshness
Updated 4mo ago
Rank
65
LangChain tools for OceanBus — 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
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-pgns-io-pgns-agent-crewai/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-10-08T22:21:00.820Z"
}
},
"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": "Pgns Io",
"category": "vendor",
"href": "https://github.com/pgns-io/pgns-agent-crewai",
"sourceUrl": "https://github.com/pgns-io/pgns-agent-crewai",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:34.865Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:34.865Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-pgns-io-pgns-agent-crewai/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[]
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