Crawler Summary

gocrewwai answer-first brief

The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training. Gocrewwai โš“๐Ÿ†๐Ÿš€ (v1.0.0 Stable) High-performance, strictly-typed agentic orchestration for the Go ecosystem. Inspired by **CrewAI, LangChain, and LangGraph**, Gocrewwai is built for developers who demand speed, reliability, and production-ready precision. --- [!IMPORTANT] **Status: v1.0.0 (Production Hardened).** Gocrewwai has evolved into a stable, high-fidelity framework for heterogeneous agent orchestration. With Capability contract not published. No trust telemetry is available yet. 8 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

gocrewwai 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

Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

gocrewwai

The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training. Gocrewwai โš“๐Ÿ†๐Ÿš€ (v1.0.0 Stable) High-performance, strictly-typed agentic orchestration for the Go ecosystem. Inspired by **CrewAI, LangChain, and LangGraph**, Gocrewwai is built for developers who demand speed, reliability, and production-ready precision. --- [!IMPORTANT] **Status: v1.0.0 (Production Hardened).** Gocrewwai has evolved into a stable, high-fidelity framework for heterogeneous agent orchestration. With

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals8 GitHub stars

Capability contract not published. No trust telemetry is available yet. 8 GitHub stars reported by the source. Last updated 4/15/2026.

8 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Ecook14

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Unpublished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. 8 GitHub stars reported by the source. Last updated 4/15/2026.

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

Ecook14

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Adoption (1)

Adoption signal

8 GitHub stars

profilemedium
Observed Apr 15, 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

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

3

Snippets

0

Languages

python

Executable Examples

bash

go mod init my-agent-app
go get github.com/Ecook14/gocrewwai/gocrew

go

package main

import (
	"context"
	"github.com/Ecook14/gocrewwai/gocrew"
)

func main() {
	// 1. Setup the Model
	llm := gocrew.NewOpenAI("your-api-key", "gpt-4o")

	// 2. Define an Agent
	researcher := gocrew.NewAgent(gocrew.AgentConfig{
		Role:      "Researcher",
		Goal:      "Find the latest trends in Go 1.25",
		Backstory: "Expert in performance optimization.",
		LLM:       llm,
	})

	// 3. Define a Task with Strict JSON Output
	type SummaryResult struct {
		Trends []string `json:"trends"`
		Impact string   `json:"impact"`
	}

	task := gocrew.NewTask(gocrew.TaskConfig{
		Description: "Analyze Go 1.25 Type Aliases and return a summary.",
		Agent:       researcher,
		OutputJSON:  &SummaryResult{},
	})

	// 4. Assemble and Kickoff!
	myCrew := gocrew.NewCrew(gocrew.CrewConfig{
		Agents:  []gocrew.CoreAgent{researcher},
		Tasks:   []*gocrew.Task{task},
		Verbose: true,
	})

	// 5. Execute and extract the strongly-typed result natively
	result, _ := myCrew.Kickoff(context.Background())
	summary := gocrew.GetOutput[SummaryResult](result)
	
	fmt.Printf("Parsed Impact: %s\n", summary.Impact)
}

bash

gocrew start --ui --port=8080

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training. Gocrewwai โš“๐Ÿ†๐Ÿš€ (v1.0.0 Stable) High-performance, strictly-typed agentic orchestration for the Go ecosystem. Inspired by **CrewAI, LangChain, and LangGraph**, Gocrewwai is built for developers who demand speed, reliability, and production-ready precision. --- [!IMPORTANT] **Status: v1.0.0 (Production Hardened).** Gocrewwai has evolved into a stable, high-fidelity framework for heterogeneous agent orchestration. With

Full README

Gocrewwai โš“๐Ÿ†๐Ÿš€ (v1.0.0 Stable)

High-performance, strictly-typed agentic orchestration for the Go ecosystem. Inspired by CrewAI, LangChain, and LangGraph, Gocrewwai is built for developers who demand speed, reliability, and production-ready precision.


[!IMPORTANT] Status: v1.0.0 (Production Hardened). Gocrewwai has evolved into a stable, high-fidelity framework for heterogeneous agent orchestration. With native A2A protocols, durable flow persistence, and recursive self-correction, it is ready for critical digital missions.


๐ŸŒŸ Why Gocrewwai?

While many AI tools remain in the Python ecosystem, we chose Go for its inherent production superpowers:

  1. โšก Massive Concurrency: Go's native goroutines allow hundreds of agents to work, fetch data, and reason in true parallel without the bottlenecks of a Global Interpreter Lock (GIL).
  2. ๐Ÿ›ก๏ธ Rock-Solid Reliability: Eliminate random KeyError crashes. Every LLM response is strictly unmarshaled into your Go structs with type-safe guarantees.
  3. ๐Ÿง  Elite Memory & State: Built-in, vector-indexed memory (SQLite, Redis, Chroma) and durable flow persistence (Checkpoints/Time-Travel).
  4. Single-Binary Deployment: Compile your entire orchestrator into a tiny, zero-dependency binary. Drop it in a container or on an edge device and it just works.

๐Ÿ’Ž Elite Features

๐Ÿ›ก๏ธ 1. Durable Flows & Checkpoints (LangGraph Parity)

Gocrewwai provides robust persistence, allowing you to pause, resume, and "time-travel" through long-running agentic workflows. State is automatically checkpointed to SQLite or Redis after every node execution.

๐Ÿ‘ค 2. Human-in-the-Loop (HITL)

Native support for manual interrupts and approvals. Pause an agent's execution for review and approval through the CLI or the real-time Glassmorphic Dashboard.

๐Ÿ›ก๏ธ 3. Recursive Self-Correction (CrewAI Parity)

Agents can reflect on their own work using internal reflection loops or peer-review "Reflective Crews," ensuring 100% adherence to task requirements.

๐Ÿ“Š 4. Native Observability (OpenTelemetry)

Standardized, vendor-neutral tracing with built-in OTEL integration. Track every agent thought, tool execution, and token cost with high fidelity.

๐ŸŒ 5. Model Context Protocol (MCP) & Discovery

Seamlessly connect your agents to external tools and knowledge sources via the standardized MCP protocol. Native support for local and remote MCP servers with auto-discovery.

๐Ÿค– 6. Agent-to-Agent (A2A) Protocols

Enable true decentralized swarm intelligence. Agents can discover each other on the network, negotiate tasks, and collaborate autonomously using standardized communication protocols.


๐Ÿš€ Quickstart (Elite Style)

Initialize your project and install the Gocrewwai SDK:

go mod init my-agent-app
go get github.com/Ecook14/gocrewwai/gocrew

Build Your First Crew

package main

import (
	"context"
	"github.com/Ecook14/gocrewwai/gocrew"
)

func main() {
	// 1. Setup the Model
	llm := gocrew.NewOpenAI("your-api-key", "gpt-4o")

	// 2. Define an Agent
	researcher := gocrew.NewAgent(gocrew.AgentConfig{
		Role:      "Researcher",
		Goal:      "Find the latest trends in Go 1.25",
		Backstory: "Expert in performance optimization.",
		LLM:       llm,
	})

	// 3. Define a Task with Strict JSON Output
	type SummaryResult struct {
		Trends []string `json:"trends"`
		Impact string   `json:"impact"`
	}

	task := gocrew.NewTask(gocrew.TaskConfig{
		Description: "Analyze Go 1.25 Type Aliases and return a summary.",
		Agent:       researcher,
		OutputJSON:  &SummaryResult{},
	})

	// 4. Assemble and Kickoff!
	myCrew := gocrew.NewCrew(gocrew.CrewConfig{
		Agents:  []gocrew.CoreAgent{researcher},
		Tasks:   []*gocrew.Task{task},
		Verbose: true,
	})

	// 5. Execute and extract the strongly-typed result natively
	result, _ := myCrew.Kickoff(context.Background())
	summary := gocrew.GetOutput[SummaryResult](result)
	
	fmt.Printf("Parsed Impact: %s\n", summary.Impact)
}

๐Ÿ–ฅ๏ธ Start the Dashboard Server

To monitor your agents in real-time, launch the Web UI:

gocrew start --ui --port=8080

๐Ÿ“š Documentation Portal

Dive deep into the Gocrewwai ecosystem with our world-class documentation guides:


๐Ÿค Community & Support

  • Gocrew - High-performance agentic AI, built for Go developers.
  • Follow the development on GitHub.
  • Join the mission to build the most scalable AI framework in the community! ๐Ÿš€โš“๐Ÿ›ก๏ธ๐Ÿ†๐Ÿ

Contract & API

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

MissingGITHUB REPOS

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://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/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

70

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

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

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

MCPOPENCLAW
GITHUB_REPOSAionUi

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 | ๐ŸŒŸ Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

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-ecook14-gocrewwai/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-16T23:46:08.151Z"
    }
  },
  "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": "Ecook14",
    "href": "https://github.com/Ecook14/gocrewwai",
    "sourceUrl": "https://github.com/Ecook14/gocrewwai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:16.088Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:16.088Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "8 GitHub stars",
    "href": "https://github.com/Ecook14/gocrewwai",
    "sourceUrl": "https://github.com/Ecook14/gocrewwai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:16.088Z",
    "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-ecook14-gocrewwai/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-ecook14-gocrewwai/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
  }
]

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