Rank
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
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 โ๐๐ (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
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 โ๐๐ (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
Public facts
5
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. 8 GitHub stars reported by the source. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Ecook14
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Unpublished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. 8 GitHub stars reported by the source. Last updated 4/15/2026.
Setup snapshot
Setup 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
Ecook14
Protocol compatibility
OpenClaw
Adoption signal
8 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
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
3
Snippets
0
Languages
python
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
Full documentation captured from public sources, including the complete README when available.
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 โ๐๐ (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
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.
While many AI tools remain in the Python ecosystem, we chose Go for its inherent production superpowers:
KeyError crashes. Every LLM response is strictly unmarshaled into your Go structs with type-safe guarantees.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.
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.
Agents can reflect on their own work using internal reflection loops or peer-review "Reflective Crews," ensuring 100% adherence to task requirements.
Standardized, vendor-neutral tracing with built-in OTEL integration. Track every agent thought, tool execution, and token cost with high fidelity.
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.
Enable true decentralized swarm intelligence. Agents can discover each other on the network, negotiate tasks, and collaborate autonomously using standardized communication protocols.
Initialize your project and install the Gocrewwai SDK:
go mod init my-agent-app
go get github.com/Ecook14/gocrewwai/gocrew
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)
}
To monitor your agents in real-time, launch the Web UI:
gocrew start --ui --port=8080
Dive deep into the Gocrewwai ecosystem with our world-class documentation guides:
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://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"
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
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
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
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 | ๐ Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d 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://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
}
]Sponsored
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