Xpersona

Crawler Summary

agent-mesh answer-first brief

A thin control plane for meshing agents across frameworks (LangGraph, CrewAI) via an A2A/OASF-inspired HTTP surface agentstudio A thin control plane for meshing agents across frameworks — LangGraph, CrewAI, and anything else — without rewriting a single one of them. The idea Most attempts at a universal "Agent Studio" try to be a **compiler**: write one workflow definition, compile it into LangGraph's graph, CrewAI's pipeline, or whatever runtime you're targeting. That runs into a real problem — LangGraph is a stateful, cyclic gra Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

agent-mesh 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
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

agent-mesh

A thin control plane for meshing agents across frameworks (LangGraph, CrewAI) via an A2A/OASF-inspired HTTP surface agentstudio A thin control plane for meshing agents across frameworks — LangGraph, CrewAI, and anything else — without rewriting a single one of them. The idea Most attempts at a universal "Agent Studio" try to be a **compiler**: write one workflow definition, compile it into LangGraph's graph, CrewAI's pipeline, or whatever runtime you're targeting. That runs into a real problem — LangGraph is a stateful, cyclic gra

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

Gowtham16 Bhu

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Unpublished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

Gowtham16 Bhu

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

mermaid

flowchart TB
    registry["Agent registry<br/><small>OASF-style agent cards</small>"] --> studio["StudioClient<br/><small>control plane</small>"]
    studio -->|HTTP task| lg["LangGraph agent<br/><small>stateful graph runtime</small>"]
    studio -->|HTTP task| crew["CrewAI agent<br/><small>sequential pipeline</small>"]
    lg --> tools["Tools & data"]
    crew --> tools

bash

pip install agentstudio          # core
pip install agentstudio[langgraph]   # + LangGraph adapter
pip install agentstudio[crewai]      # + CrewAI adapter

bash

uvicorn examples.echo_agent:app --port 8001

bash

agentstudio call http://localhost:8001 --input '{"hello": "world"}'

python

from agentstudio import StudioClient

client = StudioClient()
card = client.get_agent_card("http://localhost:8001")
task = client.call("http://localhost:8001", {"hello": "world"})
print(task.output)  # {'echo': {'hello': 'world'}}

python

# LangGraph
from agentstudio import AgentCard, create_agent_server
from agentstudio.adapters.langgraph_adapter import wrap_langgraph

compiled = my_state_graph.compile()          # your graph, unmodified
card = AgentCard(id="my-agent", name="My agent", framework="langgraph",
                  skills=["research"], endpoint="http://localhost:8002")
app = create_agent_server(card, wrap_langgraph(compiled))

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

A thin control plane for meshing agents across frameworks (LangGraph, CrewAI) via an A2A/OASF-inspired HTTP surface agentstudio A thin control plane for meshing agents across frameworks — LangGraph, CrewAI, and anything else — without rewriting a single one of them. The idea Most attempts at a universal "Agent Studio" try to be a **compiler**: write one workflow definition, compile it into LangGraph's graph, CrewAI's pipeline, or whatever runtime you're targeting. That runs into a real problem — LangGraph is a stateful, cyclic gra

Full README

agentstudio

A thin control plane for meshing agents across frameworks — LangGraph, CrewAI, and anything else — without rewriting a single one of them.

The idea

Most attempts at a universal "Agent Studio" try to be a compiler: write one workflow definition, compile it into LangGraph's graph, CrewAI's pipeline, or whatever runtime you're targeting. That runs into a real problem — LangGraph is a stateful, cyclic graph; CrewAI is a deterministic, sequential pipeline. Force both into one schema and you flatten exactly what makes each one useful.

agentstudio takes the other approach — a mesh, not a compiler. Each agent keeps running in its native framework, unmodified. It gets wrapped behind a small HTTP surface modeled loosely on the A2A protocol's task lifecycle and OASF's agent cards. A lightweight client then routes work to any agent by URL, without knowing or caring what's running behind it.

flowchart TB
    registry["Agent registry<br/><small>OASF-style agent cards</small>"] --> studio["StudioClient<br/><small>control plane</small>"]
    studio -->|HTTP task| lg["LangGraph agent<br/><small>stateful graph runtime</small>"]
    studio -->|HTTP task| crew["CrewAI agent<br/><small>sequential pipeline</small>"]
    lg --> tools["Tools & data"]
    crew --> tools

What this is — and isn't

This is a small, working illustration of the mesh pattern, not a certified implementation of any spec:

  • The HTTP surface is inspired by A2A's task lifecycle and agent cards, not a conformance-tested A2A implementation.
  • The registry is inspired by OASF's idea of a discoverable agent card, not the OASF schema server.
  • The MVP server runs tasks synchronously — no streaming, no async task queue yet. Task.status is already there so that upgrade is additive, not a breaking change.

If you need real interoperability with other A2A- or OASF-speaking systems, start from their reference implementations. This project exists to make the architectural idea concrete and runnable in an afternoon, not to replace the specs.

Install

pip install agentstudio          # core
pip install agentstudio[langgraph]   # + LangGraph adapter
pip install agentstudio[crewai]      # + CrewAI adapter

Quickstart

Run the dependency-free example agent:

uvicorn examples.echo_agent:app --port 8001

Talk to it from another terminal, without agentstudio caring what's behind that URL:

agentstudio call http://localhost:8001 --input '{"hello": "world"}'

Or from Python:

from agentstudio import StudioClient

client = StudioClient()
card = client.get_agent_card("http://localhost:8001")
task = client.call("http://localhost:8001", {"hello": "world"})
print(task.output)  # {'echo': {'hello': 'world'}}

Wrapping a real agent

Wrapping an existing LangGraph graph or CrewAI crew is one function call — agentstudio never touches the graph, the state schema, or the crew's agents and tasks:

# LangGraph
from agentstudio import AgentCard, create_agent_server
from agentstudio.adapters.langgraph_adapter import wrap_langgraph

compiled = my_state_graph.compile()          # your graph, unmodified
card = AgentCard(id="my-agent", name="My agent", framework="langgraph",
                  skills=["research"], endpoint="http://localhost:8002")
app = create_agent_server(card, wrap_langgraph(compiled))

# CrewAI
from agentstudio import AgentCard, create_agent_server
from agentstudio.adapters.crewai_adapter import wrap_crewai

card = AgentCard(id="my-crew", name="My crew", framework="crewai",
                  skills=["summarization"], endpoint="http://localhost:8003")
app = create_agent_server(card, wrap_crewai(my_crew))   # your crew, unmodified

Run either with uvicorn <module>:app --port <port> and it's part of the mesh — discoverable via its agent card, callable by any StudioClient.

See examples/ for complete, runnable versions of both.

Registry

from agentstudio import Registry, AgentCard

reg = Registry("agent_registry.json")
reg.register(AgentCard(id="my-agent", name="My agent", framework="langgraph",
                        skills=["research"], endpoint="http://localhost:8002"))

reg.find_by_skill("research")   # -> [AgentCard(...)]

agentstudio list --registry agent_registry.json

Development

pip install -e ".[dev,langgraph,crewai]"
pytest

Roadmap

  • [ ] Async task execution + polling (server already models TaskStatus)
  • [ ] Signed agent cards (A2A's security-card-signing model)
  • [ ] A registry backend beyond a single JSON file
  • [ ] An adapter for the Microsoft Agent Framework

License

MIT — see LICENSE.

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-gowtham16-bhu-agent-mesh/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-gowtham16-bhu-agent-mesh/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-gowtham16-bhu-agent-mesh/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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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-gowtham16-bhu-agent-mesh/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-gowtham16-bhu-agent-mesh/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-gowtham16-bhu-agent-mesh/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-gowtham16-bhu-agent-mesh/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-gowtham16-bhu-agent-mesh/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-gowtham16-bhu-agent-mesh/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T06:48:48.191Z"
    }
  },
  "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": "Gowtham16 Bhu",
    "href": "https://github.com/gowtham16-bhu/agent-mesh",
    "sourceUrl": "https://github.com/gowtham16-bhu/agent-mesh",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T02:19:18.440Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-gowtham16-bhu-agent-mesh/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-gowtham16-bhu-agent-mesh/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T02:19:18.440Z",
    "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-gowtham16-bhu-agent-mesh/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-gowtham16-bhu-agent-mesh/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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