How should agent-compose be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

agent-compose answer-first brief

ramework-agnostic multi-agent orchestrator. Declaratively compose LangGraph, CrewAI, and OpenAI SDK agents in a single YAML pipeline for production-ready AI workflows. <div align="center"> 🌌 agent-compose **The Orchestrator for the Agentic Era.** 🚀 *One YAML. Any Framework. Infinite Scale.* $1 $1 $1 $1 --- **Build multi-agent AI systems like you build infrastructure with Docker Compose.** Stop writing brittle orchestration glue code. Define your topology in YAML and ship. $1 • $1 • $1 • $1 </div> --- 💎 The Philosophy Multi-agent development is currently in its "Manual Era." Team Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

agent-compose 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

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGITHUB REPOSSafety: 66/100

agent-compose

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals2 GitHub stars

Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 4/15/2026.

2 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Ismail 2001

Artifacts

Benchmarks

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Unpublished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. 2 GitHub stars reported by the source. Last updated 4/15/2026.

View Source

Setup snapshot

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.

Verifiededitorial-content

Vendor (1)

Vendor

Ismail 2001

profilemedium

Observed Apr 15, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 15, 2026Source link Provenance

Adoption (1)

Adoption signal

2 GitHub stars

profilemedium

Observed Apr 15, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

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

Examples

Snippets

Languages

python

Executable Examples

bash

pip install agent-compose[all]

yaml

name: executive-research-pipeline
description: "LangGraph (Research) → CrewAI (Analysis) → DeepSeek (Writing)"

agents:
  researcher:
    framework: langgraph
    model: deepseek-chat
    system_prompt: "Thoroughly research the given topic and extract data points."
    tools: [web_search]
    connects_to: [analyst]

  analyst:
    framework: crewai
    role: "Senior Strategic Analyst"
    goal: "Extract competitive insights and second-order effects."
    model: deepseek-chat
    connects_to: [writer]

  writer:
    framework: raw
    model: deepseek-chat
    system_prompt: "Transform findings into a C-Suite executive brief."
    output: report.md

bash

# Set your key
export DEEPSEEK_API_KEY="your_api_key"

# Run the pipeline
agent-compose up --input "The state of AI orchestration in 2026"

mermaid

graph TD
    CLI[agent-compose CLI] --> Loader[YAML Loader]
    Loader --> DAG[DAG Constructor]
    DAG --> Engine[Async Engine]
    
    subgraph Execution_Layer
        Engine --> LGraph[LangGraph Engine]
        Engine --> Crew[CrewAI Engine]
        Engine --> Direct[DeepSeek Engine]
    end
    
    subgraph Model_Providers
        LGraph --> Providers[Cloud LLMs]
        Crew --> Providers
        Direct --> Providers
    end
    
    Providers --> Metrics[Tracking]
    Metrics --> Final[Final Report]

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Full README

🌌 agent-compose

The Orchestrator for the Agentic Era.

🚀 One YAML. Any Framework. Infinite Scale.

Build multi-agent AI systems like you build infrastructure with Docker Compose.
Stop writing brittle orchestration glue code. Define your topology in YAML and ship.

Quick Start • Why agent-compose? • DeepSeek Mastery • Architecture

</div>

💎 The Philosophy

Multi-agent development is currently in its "Manual Era." Teams spend 70% of their time writing orchestration logic—handling state, resolving dependencies, and tracking costs.

agent-compose brings order to the chaos. It is the first framework-agnostic orchestrator that allows you to mix LangGraph, CrewAI, and OpenAI SDK agents in a single, declarative pipeline.

The "Killer Feature": Framework Mixing

Prototype an agent in CrewAI, refine another in LangGraph, and keep a simple generating agent as a raw LLM call. agent-compose handles the data flow, dependency resolution, and parallel execution.

⚡ Quick Start

1. Install

pip install agent-compose[all]

2. Define `agent-compose.yaml`

name: executive-research-pipeline
description: "LangGraph (Research) → CrewAI (Analysis) → DeepSeek (Writing)"

agents:
  researcher:
    framework: langgraph
    model: deepseek-chat
    system_prompt: "Thoroughly research the given topic and extract data points."
    tools: [web_search]
    connects_to: [analyst]

  analyst:
    framework: crewai
    role: "Senior Strategic Analyst"
    goal: "Extract competitive insights and second-order effects."
    model: deepseek-chat
    connects_to: [writer]

  writer:
    framework: raw
    model: deepseek-chat
    system_prompt: "Transform findings into a C-Suite executive brief."
    output: report.md

3. Launch

# Set your key
export DEEPSEEK_API_KEY="your_api_key"

# Run the pipeline
agent-compose up --input "The state of AI orchestration in 2026"

🥷 DeepSeek Native Integration

In 2026, cost-efficiency is the differentiator. agent-compose is optimized for DeepSeek's high-performance, low-cost reasoning.

Unified Billing: Track per-agent token costs even when mixing providers.
BaseURL Auto-Routing: Automatically routes to api.deepseek.com when a deepseek-* model is detected.
Failover Support: Gracefully fallback from expensive flagship models to DeepSeek if budgets are exceeded.

🏗️ Core Architecture (FAANG-Spec)

graph TD
    CLI[agent-compose CLI] --> Loader[YAML Loader]
    Loader --> DAG[DAG Constructor]
    DAG --> Engine[Async Engine]
    
    subgraph Execution_Layer
        Engine --> LGraph[LangGraph Engine]
        Engine --> Crew[CrewAI Engine]
        Engine --> Direct[DeepSeek Engine]
    end
    
    subgraph Model_Providers
        LGraph --> Providers[Cloud LLMs]
        Crew --> Providers
        Direct --> Providers
    end
    
    Providers --> Metrics[Tracking]
    Metrics --> Final[Final Report]

🛠️ CLI Reference

🤝 Contributing

We welcome senior-level contributions to the core engine. Check CONTRIBUTING.md for our engineering standards (Type hints, Pytest coverage, and Architectural clean-code).

agent-compose by Ismail Sajid

Write YAML. Ship Agents.

</div>

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/snapshot"

curl -s "https://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/contract"

curl -s "https://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/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.

Related Agents

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

Self-declaredprotocol-neighbors

GITHUB_REPOSactivepieces

Rank

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW

GITHUB_REPOScherry-studio

Rank

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

MCPOPENCLAW

GITHUB_REPOSAionUi

Rank

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSCopilotKit

Rank

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d 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://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-17T00:50:21.508Z"
    }
  },
  "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": "Ismail 2001",
    "href": "https://github.com/Ismail-2001/agent-compose",
    "sourceUrl": "https://github.com/Ismail-2001/agent-compose",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:25.951Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:25.951Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "2 GitHub stars",
    "href": "https://github.com/Ismail-2001/agent-compose",
    "sourceUrl": "https://github.com/Ismail-2001/agent-compose",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:25.951Z",
    "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://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-ismail-2001-agent-compose/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
  }
]

agent-compose answer-first brief

Executive Summary

Evidence Ledger

Release & Crawl Timeline

Artifacts Archive

Docs & README

🌌 agent-compose

💎 The Philosophy

The "Killer Feature": Framework Mixing

⚡ Quick Start

1. Install

2. Define agent-compose.yaml

3. Launch

🥷 DeepSeek Native Integration

🏗️ Core Architecture (FAANG-Spec)

🛠️ CLI Reference

🤝 Contributing

Contract & API

Reliability & Benchmarks

Media & Demo

Related Agents

2. Define `agent-compose.yaml`