Crawler Summary

Multi-Agent-DevOps-Assistant answer-first brief

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

Agent DossierGITHUB REPOSSafety: 66/100

Multi-Agent-DevOps-Assistant

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

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Manya Kh10

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. Last updated 10/9/2026.

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

Manya Kh10

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 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

5

Snippets

0

Languages

python

Executable Examples

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)

Docs & README

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

Self-declaredGITHUB REPOS

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

Full README

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 request with the fix for a human to review and merge.

Nothing is merged automatically. Every fix lands as a PR waiting for your approval.


How it works

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.


Tech stack

| 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.


Requirements


Setup

# 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 |


Usage

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.


What it produces

For each run, the pipeline will:

  • Analyze the specified issue against the local repo clone
  • Propose a fix
  • Create a new branch (fix-issue-<number>)
  • Commit the change
  • Open a pull request on the base branch

You then review and merge the PR manually — it is never merged automatically.


Current limitations

  • Python-only codebases — the code search and AST-based fallback are built for .py files; other languages aren't supported yet.
  • Single-file bugs — works best for bugs isolated to one file; multi-file fixes aren't yet handled.
  • No automatic trigger yet — currently run manually via CLI; a GitHub Actions workflow to trigger on issues.opened is in progress.
  • No auth validation — misconfigured tokens/keys currently fail without a clear error message.

Roadmap

  • [ ] Wire up GitHub Actions to trigger automatically on new issues
  • [ ] Add config/auth validation with clear error messages
  • [ ] Support multi-file bug fixes
  • [ ] Package as a reusable CLI tool / GitHub Action for other repos
  • [ ] Add automated tests for the context-extraction and search logic

Project structure

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)

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://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"

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 ReposUpdated 12h agoRank 70

AionUi

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!

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

activepieces

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

OPENCLAW
Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

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://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

Ads related to Multi-Agent-DevOps-Assistant and adjacent AI workflows.