AionUi
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Crawler Summary
A 3-agent system (Analyzer → Fixer → PR Drafter) built with CrewAI and Groq's LLaMA 3.3 70B that automates the first pass of bug fixing on GitHub: it reads an issue, locates the relevant code using ripgrep-based search with smart context extraction, generates a fix, and opens a pull request for human review. All configuration (repo, branch, model) devops-agent-crew An automated, multi-agent DevOps assistant that turns GitHub issues into reviewed pull requests — without ever auto-merging anything. Built entirely on free-tier tools. It runs three AI agents in sequence: 1. **Analyzer** — reads a GitHub issue and locates the likely bug in the codebase. 2. **Fixer** — writes a proposed code fix based on the analyzer's findings. 3. **PR Drafter** — opens a pull requ Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
Multi-Agent-DevOps-Assistant 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
A 3-agent system (Analyzer → Fixer → PR Drafter) built with CrewAI and Groq's LLaMA 3.3 70B that automates the first pass of bug fixing on GitHub: it reads an issue, locates the relevant code using ripgrep-based search with smart context extraction, generates a fix, and opens a pull request for human review. All configuration (repo, branch, model) devops-agent-crew An automated, multi-agent DevOps assistant that turns GitHub issues into reviewed pull requests — without ever auto-merging anything. Built entirely on free-tier tools. It runs three AI agents in sequence: 1. **Analyzer** — reads a GitHub issue and locates the likely bug in the codebase. 2. **Fixer** — writes a proposed code fix based on the analyzer's findings. 3. **PR Drafter** — opens a pull requ
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Manya Kh10
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Unpublished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. Last updated 10/9/2026.
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
Manya Kh10
Protocol compatibility
OpenClaw
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
5
Snippets
0
Languages
python
text
GitHub Issue
│
▼
[Analyzer Agent] ── searches codebase (ripgrep + smart context extraction) ── finds likely bug location
│
▼
[Fixer Agent] ── writes a code diff / patch
│
▼
[PR Drafter Agent] ── creates a branch, commits the fix, opens a PR
│
▼
Human reviews & merges (or rejects)bash
# 1. Clone the repo git clone <this-repo-url> cd devops-agent-crew # 2. Create and activate a virtual environment python -m venv venv # Activate on Windows: .\venv\Scripts\activate # Activate on Unix: source venv/bin/activate # 3. Install dependencies pip install -r requirements.txt # 4. Copy the example env file and fill in your values cp .env.example .env
bash
export ISSUE_NUMBER="1" python main.py
bash
python main.py --repo-owner Manya-kh10 --repo-name devops-agent-test --issue-number 6 --base-branch main --local-repo-path test_clone
text
devops-agent-crew/ ├── agents/ │ ├── analyzer.py # Agent 1: locates the bug │ ├── fixer.py # Agent 2: writes the fix │ └── pr_drafter.py # Agent 3: opens the PR ├── tools/ │ ├── github_tools.py # GitHub API wrappers (PyGithub) │ └── code_search.py # ripgrep wrapper + context extraction ├── config/ │ └── settings.py # Centralized config (env vars + CLI overrides) ├── .env.example ├── requirements.txt └── main.py # Pipeline entrypoint (CLI)
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
A 3-agent system (Analyzer → Fixer → PR Drafter) built with CrewAI and Groq's LLaMA 3.3 70B that automates the first pass of bug fixing on GitHub: it reads an issue, locates the relevant code using ripgrep-based search with smart context extraction, generates a fix, and opens a pull request for human review. All configuration (repo, branch, model) devops-agent-crew An automated, multi-agent DevOps assistant that turns GitHub issues into reviewed pull requests — without ever auto-merging anything. Built entirely on free-tier tools. It runs three AI agents in sequence: 1. **Analyzer** — reads a GitHub issue and locates the likely bug in the codebase. 2. **Fixer** — writes a proposed code fix based on the analyzer's findings. 3. **PR Drafter** — opens a pull requ
An automated, multi-agent DevOps assistant that turns GitHub issues into reviewed pull requests — without ever auto-merging anything. Built entirely on free-tier tools.
It runs three AI agents in sequence:
Nothing is merged automatically. Every fix lands as a PR waiting for your approval.
GitHub Issue
│
▼
[Analyzer Agent] ── searches codebase (ripgrep + smart context extraction) ── finds likely bug location
│
▼
[Fixer Agent] ── writes a code diff / patch
│
▼
[PR Drafter Agent] ── creates a branch, commits the fix, opens a PR
│
▼
Human reviews & merges (or rejects)
For larger files, the Analyzer doesn't read the whole file — it extracts only the lines relevant to the issue's keywords (with surrounding context), keeping the LLM focused and improving accuracy.
| Component | Tool |
|---|---|
| Agent orchestration | CrewAI |
| LLM | Groq API (llama-3.3-70b-versatile) via langchain-groq |
| GitHub integration | PyGithub |
| Code search | ripgrep (with a pure-Python fallback if rg isn't installed) |
| CLI | Python argparse (standard library) |
Everything runs on free tiers — no paid services required.
repo scope# 1. Clone the repo
git clone <this-repo-url>
cd devops-agent-crew
# 2. Create and activate a virtual environment
python -m venv venv
# Activate on Windows:
.\venv\Scripts\activate
# Activate on Unix:
source venv/bin/activate
# 3. Install dependencies
pip install -r requirements.txt
# 4. Copy the example env file and fill in your values
cp .env.example .env
Open .env and fill in:
| Variable | Description | Default |
|---|---|---|
| GITHUB_TOKEN | GitHub Personal Access Token (needs repo scope) | — |
| GROQ_API_KEY | Your Groq API key | — |
| GITHUB_REPO_OWNER | GitHub username/org that owns the target repo | — |
| GITHUB_REPO_NAME | Name of the target repo | — |
| BASE_BRANCH | Branch PRs are opened against | main |
| FIX_BRANCH_PREFIX | Prefix used for fix branches | fix-issue- |
| LOCAL_REPO_PATH | Local path to the cloned target repo | test_clone |
| LLM_PROVIDER | LLM provider | groq |
| LLM_MODEL | Model name | llama-3.3-70b-versatile |
Run against the repo/issue configured in .env:
export ISSUE_NUMBER="1"
python main.py
Or override any setting at runtime via CLI flags (no .env edits needed):
python main.py --repo-owner Manya-kh10 --repo-name devops-agent-test --issue-number 6 --base-branch main --local-repo-path test_clone
| Flag | Overrides |
|---|---|
| --repo-owner | GITHUB_REPO_OWNER |
| --repo-name | GITHUB_REPO_NAME |
| --issue-number | Issue to process |
| --base-branch | BASE_BRANCH |
| --local-repo-path | LOCAL_REPO_PATH |
CLI args take priority over .env values, which take priority over built-in defaults.
For each run, the pipeline will:
fix-issue-<number>)You then review and merge the PR manually — it is never merged automatically.
.py files; other languages aren't supported yet.issues.opened is in progress.devops-agent-crew/
├── agents/
│ ├── analyzer.py # Agent 1: locates the bug
│ ├── fixer.py # Agent 2: writes the fix
│ └── pr_drafter.py # Agent 3: opens the PR
├── tools/
│ ├── github_tools.py # GitHub API wrappers (PyGithub)
│ └── code_search.py # ripgrep wrapper + context extraction
├── config/
│ └── settings.py # Centralized config (env vars + CLI overrides)
├── .env.example
├── requirements.txt
└── main.py # Pipeline entrypoint (CLI)
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://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/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.
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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-manya-kh10-multi-agent-devops-assistant/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-10T06:42:22.748Z"
}
},
"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": "Manya Kh10",
"href": "https://github.com/Manya-kh10/Multi-Agent-DevOps-Assistant",
"sourceUrl": "https://github.com/Manya-kh10/Multi-Agent-DevOps-Assistant",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T14:52:37.066Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T14:52:37.066Z",
"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-manya-kh10-multi-agent-devops-assistant/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-manya-kh10-multi-agent-devops-assistant/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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