GITHUB_OPENCLEW@x1pay/langchain
Rank
65
LangChain/LangGraph tools for AI agent x402 payments on X1
Traction
No public download signal
Freshness
Updated 4mo ago
OPENCLAW
Crawler Summary
agentic-ai answer-first brief
Multi-agent AI systems built with CrewAI, LangGraph and OpenAI Agents SDK agentic-ai Workspace for **agentic AI** projects and research self-contained $1 crews under crew/, plus a workspace-level Python environment for broader course dependencies. The workspace pyproject.toml bundles libraries used across the built to explore multi-agent orchestration patterns across different domains ($1, CrewAI, LangGraph, LangChain, AutoGen, MCP, and related tooling). **crew/ projects each ship their ow Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.
Freshness
Last checked 5/31/2026
Best For
agentic-ai 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
Agent DossierGitHubSafety: 66/100
agentic-ai
Multi-agent AI systems built with CrewAI, LangGraph and OpenAI Agents SDK agentic-ai Workspace for **agentic AI** projects and research self-contained $1 crews under crew/, plus a workspace-level Python environment for broader course dependencies. The workspace pyproject.toml bundles libraries used across the built to explore multi-agent orchestration patterns across different domains ($1, CrewAI, LangGraph, LangChain, AutoGen, MCP, and related tooling). **crew/ projects each ship their ow
OpenClawself-declared
Public facts
3
Change events
0
Artifacts
0
Freshness
May 31, 2026
Verifiededitorial-contentNo verified compatibility signals
Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.
Trust evidence available
Trust score
Unknown
Compatibility
OpenClaw
Freshness
May 31, 2026
Vendor
Guptagovind
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
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/guptagovind/agentic-ai.git- 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.
Vendor (1)
Vendor
Guptagovind
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
2
Snippets
0
Languages
python
Executable Examples
bash
uv sync
bash
cd crew/<project_name> uv sync # or: crewai install — per project docs crewai run # typical entrypoint; see that project’s README
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Multi-agent AI systems built with CrewAI, LangGraph and OpenAI Agents SDK agentic-ai Workspace for **agentic AI** projects and research self-contained $1 crews under crew/, plus a workspace-level Python environment for broader course dependencies. The workspace pyproject.toml bundles libraries used across the built to explore multi-agent orchestration patterns across different domains ($1, CrewAI, LangGraph, LangChain, AutoGen, MCP, and related tooling). **crew/ projects each ship their ow
Full README
agentic-ai
Workspace for agentic AI projects and research self-contained CrewAI crews under crew/, plus a workspace-level Python environment for broader course dependencies.
The workspace pyproject.toml bundles libraries used across the built to explore multi-agent orchestration patterns across different domains (OpenAI Agents, CrewAI, LangGraph, LangChain, AutoGen, MCP, and related tooling). crew/ projects each ship their own pyproject.toml and uv.lock; treat them as the canonical place to install and run a specific demo.
Repository layout
| Path | Purpose |
|------|---------|
| crew/coder | Minimal crew: one Python developer agent runs an assignment with safe Docker-backed code execution, writes output under output/. |
| crew/debate | Sequential debate crew: propose → oppose → decide on a motion; markdown artifacts in output/. |
| crew/engineering_team | Four-agent pipeline: design → implementation → Gradio frontend → tests (default: trading-style accounts module). |
| crew/financial_researcher | Research + analyst crew with web search (Serper); produces output/report.md for a given company. |
| crew/stock_picker | Hierarchical crew: find trending companies in a sector, research them, pick a recommendation; optional Pushover notifications. |
| .env.example | Template for API keys (copy to .env at the scope where you run code—crew root vs repo root). |
| Root pyproject.toml / uv.lock | Optional shared environment at the repo root (requires-python >=3.12). |
For agent orchestration details, YAML keys, and project-specific prerequisites, open each crew’s README.md (and AGENTS.md where present for CrewAI-focused assistant context).
Quick start (workspace root)
Optional: sync the workspace environment from the repo root:
uv sync
Set secrets using .env.example as a guide (never commit real keys).
Running a CrewAI project
Every crew is independent. From the crew directory that contains pyproject.toml:
cd crew/<project_name>
uv sync # or: crewai install — per project docs
crewai run # typical entrypoint; see that project’s README
Many crews need OPENAI_API_KEY; several also need SERPER_API_KEY, Docker (when using safe code execution), or other vars—check the subdirectory README before your first run.
Contract & API
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
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-guptagovind-agentic-ai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/trust"
Reliability & Benchmarks
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
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.
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.
GITHUB_OPENCLEW@langchain/langgraph-swarm
Rank
65
An implementation of a multi-agent swarm using LangGraph
Traction
No public download signal
Freshness
Updated 4mo ago
OPENCLAW
GITHUB_OPENCLEW@langchain/langgraph-supervisor
Rank
65
LangGraph Multi-Agent Supervisor
Traction
No public download signal
Freshness
Updated 4mo ago
OPENCLAW
GITHUB_OPENCLEWoceanbus-langchain
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
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-guptagovind-agentic-ai/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-10-08T22:20:27.162Z"
}
},
"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": "Guptagovind",
"category": "vendor",
"href": "https://github.com/guptagovind/agentic-ai",
"sourceUrl": "https://github.com/guptagovind/agentic-ai",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:23.901Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:23.901Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-guptagovind-agentic-ai/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[]