Rank
70
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
Crawler Summary
OpenClaw DevEngine OpenClaw DevEngine <!-- SKILL-META id: openclaw.dev-engine version: 2.0.0 author: OpenClaw description: State-machine-driven agentic workflow for automated software development capabilities: - code-generation - test-generation - documentation - self-healing - parallel-execution - checkpoint-resume - error-classification requires: llm: true filesystem: true shell: true images: false invocation: cli: dev-engine <goal> Published capability contract available. No trust telemetry is available yet. Last updated 4/14/2026.
Freshness
Last checked 4/14/2026
Best For
Contract is available with explicit auth and schema references.
Not Ideal For
dev-engine is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.
Evidence Sources Checked
editorial-content, capability-contract, runtime-metrics, public facts pack
OpenClaw DevEngine OpenClaw DevEngine <!-- SKILL-META id: openclaw.dev-engine version: 2.0.0 author: OpenClaw description: State-machine-driven agentic workflow for automated software development capabilities: - code-generation - test-generation - documentation - self-healing - parallel-execution - checkpoint-resume - error-classification requires: llm: true filesystem: true shell: true images: false invocation: cli: dev-engine <goal>
Public facts
6
Change events
1
Artifacts
0
Freshness
Apr 14, 2026
Published capability contract available. No trust telemetry is available yet. Last updated 4/14/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 14, 2026
Vendor
Sschepis
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Published capability contract available. No trust telemetry is available yet. Last updated 4/14/2026.
Setup snapshot
git clone https://github.com/sschepis/dev-engine.gitSetup 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
Sschepis
Protocol compatibility
OpenClaw
Auth modes
api_key
Machine-readable schemas
OpenAPI or schema references published
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
6
Snippets
0
Languages
typescript
Parameters
bash
npm install openclaw-dev-engine
bash
# Set your API key export OPENAI_API_KEY=your-api-key # Create a new project dev-engine "Create a REST API with Express and TypeScript" # Extend existing project dev-engine "Add user authentication" ./my-project # Resume from checkpoint with verbose output dev-engine "Create a todo app" --resume --verbose
text
dev-engine <goal> [repo-path] [options] Options: -h, --help Show help message -v, --version Show version number -V, --verbose Enable verbose output -r, --resume Resume from last checkpoint -c, --concurrency Max parallel tasks (default: 3) -m, --model LLM model to use
typescript
import { DevEngine } from 'openclaw-dev-engine';
import { OpenClawAdapter } from 'openclaw-dev-engine/adapters';
const adapter = new OpenClawAdapter(process.env.OPENAI_API_KEY, {
model: 'gpt-4-turbo-preview'
});
const engine = new DevEngine(adapter, {
maxConcurrency: 3,
verbose: true,
enableCheckpoints: true
});
// Subscribe to events
engine.events.on('task:complete', async (e) => {
console.log(`Completed: ${e.data.taskId}`);
});
// Track progress
engine.progress.onProgress((p) => {
console.log(`${p.percentage}% complete (${p.completedTasks}/${p.totalTasks})`);
});
// Execute
const result = await engine.run('Create a greeting module');
console.log(result);typescript
import { DevEngine } from 'openclaw-dev-engine';
const engine = new DevEngine(openclawAdapter);
// Use ISkill interface
const result = await engine.execute({
adapter: openclawAdapter,
parameters: {
goal: 'Create a React component library',
resume: false
},
workingDirectory: process.cwd()
});
if (result.success) {
console.log('Generated files:', result.artifacts);
console.log('Plan ID:', result.metadata?.planId);
} else {
console.error('Failed:', result.error);
}
// Validate parameters before execution
const errors = await engine.validate(context);
if (errors.length > 0) {
console.error('Validation errors:', errors);
}
// Estimate cost before execution
const estimate = await engine.estimateCost(context);
console.log(`Estimated: ${estimate.tokens} tokens (~$${estimate.cost.toFixed(2)})`);text
┌─────────────────────────────────────────────────────────────────────────┐
│ DevEngine (ISkill) │
├─────────────────────────────────────────────────────────────────────────┤
│ Phases: Context → Architect → Builder → Auditor/Fixer → Scribe │
│ │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────────────┐ │
│ │ TaskScheduler │ │ StateManager │ │ EngineEventEmitter │ │
│ │ (DAG + Sem.) │ │ (Checkpoint) │ │ (Progress) │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────────────┘ │
│ │
│ ┌─────────────────┐ ┌─────────────────┐ │
│ │InterfaceExtract │ │ ErrorClassifier │ │
│ │ (AST-based) │ │ (10 Categories) │ │
│ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────────────────┐
│ IEnvironmentAdapter │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌──────────────┐ │
│ │ ILLMProvider│ │ IFileSystem │ │IShellAdapter│ │ IImageAdapter│ │
│ │ (streaming) │ │ (enhanced) │ │(test runner)│ │ (optional) │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────────────────┘Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
OpenClaw DevEngine OpenClaw DevEngine <!-- SKILL-META id: openclaw.dev-engine version: 2.0.0 author: OpenClaw description: State-machine-driven agentic workflow for automated software development capabilities: - code-generation - test-generation - documentation - self-healing - parallel-execution - checkpoint-resume - error-classification requires: llm: true filesystem: true shell: true images: false invocation: cli: dev-engine <goal>
The OpenClaw DevEngine is a state-machine-driven agentic workflow for automated software development. It orchestrates multiple AI agents to handle Analysis, Planning, Implementation, Verification, and Documentation.
| Feature | Description | |---------|-------------| | 🏗️ Architect Agent | Breaks down goals into atomic file-level tasks with dependency resolution | | 👷 Builder Agent | Generates complete, production-ready TypeScript/JavaScript code | | 🔍 Auditor Agent | Creates comprehensive tests (Jest/Vitest/Mocha) and verifies code | | 🔧 Fixer Agent | Self-heals code based on test failures with 10 error categories | | 📝 Scribe Agent | Generates README and documentation | | ⚡ Parallel Execution | DAG-based scheduling with configurable concurrency limits | | 💾 Checkpointing | Resume from failures without losing progress | | 📊 Event System | Real-time progress tracking with typed events |
npm install openclaw-dev-engine
# Set your API key
export OPENAI_API_KEY=your-api-key
# Create a new project
dev-engine "Create a REST API with Express and TypeScript"
# Extend existing project
dev-engine "Add user authentication" ./my-project
# Resume from checkpoint with verbose output
dev-engine "Create a todo app" --resume --verbose
dev-engine <goal> [repo-path] [options]
Options:
-h, --help Show help message
-v, --version Show version number
-V, --verbose Enable verbose output
-r, --resume Resume from last checkpoint
-c, --concurrency Max parallel tasks (default: 3)
-m, --model LLM model to use
import { DevEngine } from 'openclaw-dev-engine';
import { OpenClawAdapter } from 'openclaw-dev-engine/adapters';
const adapter = new OpenClawAdapter(process.env.OPENAI_API_KEY, {
model: 'gpt-4-turbo-preview'
});
const engine = new DevEngine(adapter, {
maxConcurrency: 3,
verbose: true,
enableCheckpoints: true
});
// Subscribe to events
engine.events.on('task:complete', async (e) => {
console.log(`Completed: ${e.data.taskId}`);
});
// Track progress
engine.progress.onProgress((p) => {
console.log(`${p.percentage}% complete (${p.completedTasks}/${p.totalTasks})`);
});
// Execute
const result = await engine.run('Create a greeting module');
console.log(result);
import { DevEngine } from 'openclaw-dev-engine';
const engine = new DevEngine(openclawAdapter);
// Use ISkill interface
const result = await engine.execute({
adapter: openclawAdapter,
parameters: {
goal: 'Create a React component library',
resume: false
},
workingDirectory: process.cwd()
});
if (result.success) {
console.log('Generated files:', result.artifacts);
console.log('Plan ID:', result.metadata?.planId);
} else {
console.error('Failed:', result.error);
}
// Validate parameters before execution
const errors = await engine.validate(context);
if (errors.length > 0) {
console.error('Validation errors:', errors);
}
// Estimate cost before execution
const estimate = await engine.estimateCost(context);
console.log(`Estimated: ${estimate.tokens} tokens (~$${estimate.cost.toFixed(2)})`);
┌─────────────────────────────────────────────────────────────────────────┐
│ DevEngine (ISkill) │
├─────────────────────────────────────────────────────────────────────────┤
│ Phases: Context → Architect → Builder → Auditor/Fixer → Scribe │
│ │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────────────┐ │
│ │ TaskScheduler │ │ StateManager │ │ EngineEventEmitter │ │
│ │ (DAG + Sem.) │ │ (Checkpoint) │ │ (Progress) │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────────────┘ │
│ │
│ ┌─────────────────┐ ┌─────────────────┐ │
│ │InterfaceExtract │ │ ErrorClassifier │ │
│ │ (AST-based) │ │ (10 Categories) │ │
│ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────────────────┐
│ IEnvironmentAdapter │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌──────────────┐ │
│ │ ILLMProvider│ │ IFileSystem │ │IShellAdapter│ │ IImageAdapter│ │
│ │ (streaming) │ │ (enhanced) │ │(test runner)│ │ (optional) │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────────────────┘
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| maxConcurrency | number | 3 | Maximum parallel tasks |
| maxRetries | number | 3 | Retry attempts per task |
| enableCheckpoints | boolean | true | Enable state persistence |
| checkpointDir | string | .openclaw/state | Checkpoint directory |
| verbose | boolean | false | Enable verbose logging |
| testTimeout | number | 60000 | Test execution timeout (ms) |
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| model | string | gpt-4-turbo-preview | LLM model to use |
| baseUrl | string | OpenAI API | LLM API endpoint |
| basePath | string | process.cwd() | Working directory |
| logPrefix | string | OpenClaw | Log message prefix |
// All available event types
type EngineEventType =
| 'engine:start' | 'engine:complete' | 'engine:error'
| 'phase:start' | 'phase:complete'
| 'task:start' | 'task:progress' | 'task:complete'
| 'task:failed' | 'task:retry'
| 'llm:request' | 'llm:response' | 'llm:stream'
| 'checkpoint:saved' | 'checkpoint:restored';
// Subscribe to events
engine.events.on('phase:start', async (e) => {
console.log(`Phase: ${e.data.phase}`);
});
// Wait for specific event
const event = await engine.events.waitFor('task:complete', 30000);
// Filter events
const taskEvents = engine.events.filter(e => e.type.startsWith('task:'));
The Fixer agent uses smart error classification for targeted repairs:
| Category | Pattern Examples | Fix Strategy |
|----------|------------------|--------------|
| syntax | SyntaxError, Unexpected token | Check brackets, semicolons |
| type | TypeError, TS2xxx | Fix type annotations |
| import | Cannot find module | Correct import paths |
| runtime | ReferenceError, null is not | Add defensive checks |
| assertion | expect().toBe() failures | Fix code or test |
| timeout | Async callback not invoked | Handle async properly |
| permission | EACCES, EPERM | Check file permissions |
| resource | ENOENT, File not found | Verify paths exist |
| network | ECONNREFUSED | Mock network calls |
import {
IEnvironmentAdapter,
IFileSystem,
IShellAdapter,
ILLMProvider
} from 'openclaw-dev-engine/interfaces';
class MyAdapter implements IEnvironmentAdapter {
fs: IFileSystem = new MyFS();
shell: IShellAdapter = new MyShell();
llm: ILLMProvider = new MyLLM();
logger = new MyLogger();
log(message: string, level = 'info') {
this.logger.log(level, message);
}
}
The project includes comprehensive test coverage:
# Unit tests (mocked services - no API calls)
npm run test:unit
# Integration tests (mocked services)
npm run test:integration
# All tests with coverage
npm run test:coverage
# Benchmarks (real services - costs money)
npm run benchmark:dry # Dry run first
npm run benchmark # Full run
| Variable | Required | Description |
|----------|----------|-------------|
| OPENAI_API_KEY | Yes* | OpenAI API key |
| OPENCLAW_KEY | Yes* | Alternative key name |
*One of these is required.
MIT
See CONTRIBUTING.md for guidelines.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
api_key
Streaming
Yes
Data region
global
Protocol support
Requires: openclew, lang:typescript, streaming
Forbidden: none
Guardrails
Operational confidence: medium
curl -s "https://xpersona.co/api/v1/agents/sschepis-dev-engine/snapshot"
curl -s "https://xpersona.co/api/v1/agents/sschepis-dev-engine/contract"
curl -s "https://xpersona.co/api/v1/agents/sschepis-dev-engine/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
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 • (~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
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 | 🌟 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": "ready",
"authModes": [
"api_key"
],
"requires": [
"openclew",
"lang:typescript",
"streaming"
],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": true,
"inputSchemaRef": "https://github.com/sschepis/dev-engine#input",
"outputSchemaRef": "https://github.com/sschepis/dev-engine#output",
"dataRegion": "global",
"contractUpdatedAt": "2026-02-24T19:43:03.039Z",
"sourceUpdatedAt": "2026-02-24T19:43:03.039Z",
"freshnessSeconds": 4427712
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/sschepis-dev-engine/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/sschepis-dev-engine/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/sschepis-dev-engine/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/sschepis-dev-engine/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/sschepis-dev-engine/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/sschepis-dev-engine/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T01:38:15.478Z"
}
},
"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"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"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": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Sschepis",
"href": "https://github.com/sschepis/dev-engine",
"sourceUrl": "https://github.com/sschepis/dev-engine",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-14T22:24:03.413Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/sschepis-dev-engine/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/sschepis-dev-engine/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:03.039Z",
"isPublic": true
},
{
"factKey": "auth_modes",
"category": "compatibility",
"label": "Auth modes",
"value": "api_key",
"href": "https://xpersona.co/api/v1/agents/sschepis-dev-engine/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/sschepis-dev-engine/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:43:03.039Z",
"isPublic": true
},
{
"factKey": "schema_refs",
"category": "artifact",
"label": "Machine-readable schemas",
"value": "OpenAPI or schema references published",
"href": "https://github.com/sschepis/dev-engine#input",
"sourceUrl": "https://xpersona.co/api/v1/agents/sschepis-dev-engine/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:43:03.039Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/sschepis-dev-engine/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/sschepis-dev-engine/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
}
]Sponsored
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