<div align="center">
<h1>Codeligence Dev Agents</h1>
<p><b>You have your copilot, but what about the agile team work outside the IDE? Dev Agents handle the nasty grind outside your IDE: docs, reviews, debugging, logs & delivery, so you peacefully focus on building.</b></p>
<br>
<a href="https://setup.dev-agents.ai"><b>Setup Wizard</b></a>
·
<a href="#quick-start">Quick start</a>
·
<a href="https://docs.dev-agents.ai">Docs</a>
·
<a href="#use-cases">Use Cases</a>
·
<a href="#license">License</a>
<br><br>
[](https://pypi.org/project/dev-agents/)
[](https://github.com/codeligence/dev-agents/blob/main/LICENSE.md)
[](https://www.python.org/downloads/)
[](https://shields.io)
</div>
**Core idea:** one consistent, named AI teammate (e.g. “Betty Sharp”) embedded into Slack, GitHub, DevOps, Jira, Console & more - automating tedious, repeatable tasks around your codebase.
Build using the elegant [Pydantic AI](https://ai.pydantic.dev/) framework.
## Why use Dev Agents
* **Dev AI Avatar** – one persona, many skills; shows up across your stack with a single voice.
* **Open-source** – free under **AGPLv3**; commercial license available for closed-source deployments & enterprise support.
* **LLM-flexible** – works with major hosted or local models.
* **Ready now** – 4 production agents live; more being ported from customer projects.
* **Easily Customizable** – Easily add more use cases or customizations by extending base classes and implementing protocols.
* **Fast setup** – guided onboarding at **[setup.dev-agents.ai](https://setup.dev-agents.ai)**; run locally or on your server.
* **Built for teams** – shines with **5+ devs** and complex, evolving codebases where docs, compliance & handovers matter.
* **Context and Integrations for Dev Teams.** While it works similarly to Claude Code or Gemini CLI, Dev Agents provide you with pre-engineered, dev specific contexts, prompts, and integrations for reproducible, cost-efficient results and a quick start.
## Quick start
### Option 1: **Docker**
**I. Get and edit configuration:**
* Run the Setup Wizard: [https://setup.dev-agents.ai](https://setup.dev-agents.ai) to create a configuration for your setup.
* Alternatively, download example configuration:
```bash
wget -O .env https://raw.githubusercontent.com/codeligence/dev-agents/refs/heads/main/.env.example
```
* For LLM config, see also [https://ai.pydantic.dev/api/models/base/](https://ai.pydantic.dev/api/models/base/) for supported models.
**II. Mount repository and start container:**
* Your repository needs to be already cloned locally.
```bash
# Mount cloned repository and configuration
docker run --rm -it --env-file=.env -v your/local/repo/path:/code codeligence/dev-agents
```
Add `-v` argument to see verbose logs.
### Option 2: **Clone and run** (requires Python 3.11+):
**I. Clone Dev Agents:**
* Clone the repository:
```bash
git clone https://github.com/codeligence/dev-agents.git
cd dev-agents
```
**II. Get and edit configuration:**
* Run the Setup Wizard: [https://setup.dev-agents.ai](https://setup.dev-agents.ai)
* Or use example .env:
```bash
cp .env.example .env
```
* Fill in credentials for your version control provider (Gitlab/Github), LLM provider (Anthropic/OpenAI), and optional integrations (Jira/DevOps)
* Choose LLM model (OpenAI/Anthropic) - see [https://ai.pydantic.dev/api/models/base/](https://ai.pydantic.dev/api/models/base/) for supported models
**III. Install dependencies and run Dev Agents**
```bash
pip install -e .[all]
python -m entrypoints.main
```
Then interact in your tools (e.g. Slack):
`@DevAgents release notes for pull request 123 please`
## Use Cases
* **Release Notes & Changelog** – turns merged PRs into clear notes for products/libs.
* **PR Review & Compliance Check** – design patterns, conventions, risk flags.
* **Test-Notes** – maps diffs to flows; creates actionable test notes.
* **User Story Refining** – improves stories with concrete, testable detail.
_We’re currently porting more use cases from our customer deployments:_
* **Prod Log Root-Cause Analysis** – surfaces likely cause, links to code, suggests fixes.
* **Support Reply Drafts** – proposes informed responses from logs/context.
* **Code Migration Assistant** – highlights cross-repo impacts for framework/library jumps.
## Who it’s for
* Engineering teams **5+ devs** on long-lived, multi-gen codebases
* Teams with **documentation/compliance/support** overhead
* CTOs who want to **multiply output** while protecting developer focus
## Interfaces & Integrations
**Interfaces**
- **Slack** • **Teams** • **AG-UI** • **MCP** • **CLI** • **A2A**
- Add more easily
**Integrations**
- **Git providers:** GitHub / GitLab / Azure DevOps
- **Issues/PM:** Jira, GitHub Issues, GitLab Issues
- **Observability:** ELK / Loki / Files (others via MCP/tools)
- **Models:** All major providers and local LLMs
- Add more easily
## License
Core is **AGPLv3** (free). Commercial license available for closed-source deployments, enterprise support, onboarding, and SLAs.
Contact [Codeligence Sales](mailto:sales@codeligence.com) for more info.
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"description": "<div align=\"center\">\n <h1>Codeligence Dev Agents</h1>\n <p><b>You have your copilot, but what about the agile team work outside the IDE? Dev Agents handle the nasty grind outside your IDE: docs, reviews, debugging, logs & delivery, so you peacefully focus on building.</b></p>\n \n <br>\n\n <a href=\"https://setup.dev-agents.ai\"><b>Setup Wizard</b></a>\n \u00b7\n <a href=\"#quick-start\">Quick start</a>\n \u00b7\n <a href=\"https://docs.dev-agents.ai\">Docs</a>\n \u00b7\n <a href=\"#use-cases\">Use Cases</a>\n \u00b7\n <a href=\"#license\">License</a>\n <br><br>\n\n\n[](https://pypi.org/project/dev-agents/)\n[](https://github.com/codeligence/dev-agents/blob/main/LICENSE.md)\n[](https://www.python.org/downloads/)\n[](https://shields.io)\n\n</div>\n\n\n**Core idea:** one consistent, named AI teammate (e.g. \u201cBetty Sharp\u201d) embedded into Slack, GitHub, DevOps, Jira, Console & more - automating tedious, repeatable tasks around your codebase.\n\nBuild using the elegant [Pydantic AI](https://ai.pydantic.dev/) framework.\n\n## Why use Dev Agents\n\n* **Dev AI Avatar** \u2013 one persona, many skills; shows up across your stack with a single voice.\n* **Open-source** \u2013 free under **AGPLv3**; commercial license available for closed-source deployments & enterprise support.\n* **LLM-flexible** \u2013 works with major hosted or local models.\n* **Ready now** \u2013 4 production agents live; more being ported from customer projects.\n* **Easily Customizable** \u2013 Easily add more use cases or customizations by extending base classes and implementing protocols.\n* **Fast setup** \u2013 guided onboarding at **[setup.dev-agents.ai](https://setup.dev-agents.ai)**; run locally or on your server.\n* **Built for teams** \u2013 shines with **5+ devs** and complex, evolving codebases where docs, compliance & handovers matter.\n* **Context and Integrations for Dev Teams.** While it works similarly to Claude Code or Gemini CLI, Dev Agents provide you with pre-engineered, dev specific contexts, prompts, and integrations for reproducible, cost-efficient results and a quick start.\n\n## Quick start\n\n### Option 1: **Docker**\n\n **I. Get and edit configuration:**\n * Run the Setup Wizard: [https://setup.dev-agents.ai](https://setup.dev-agents.ai) to create a configuration for your setup.\n * Alternatively, download example configuration:\n ```bash\n wget -O .env https://raw.githubusercontent.com/codeligence/dev-agents/refs/heads/main/.env.example\n ```\n * For LLM config, see also [https://ai.pydantic.dev/api/models/base/](https://ai.pydantic.dev/api/models/base/) for supported models.\n\n **II. Mount repository and start container:**\n * Your repository needs to be already cloned locally.\n ```bash\n # Mount cloned repository and configuration\n docker run --rm -it --env-file=.env -v your/local/repo/path:/code codeligence/dev-agents\n ```\n \n Add `-v` argument to see verbose logs.\n\n### Option 2: **Clone and run** (requires Python 3.11+):\n\n **I. Clone Dev Agents:**\n * Clone the repository:\n ```bash\n git clone https://github.com/codeligence/dev-agents.git\n cd dev-agents\n ```\n\n **II. Get and edit configuration:**\n * Run the Setup Wizard: [https://setup.dev-agents.ai](https://setup.dev-agents.ai)\n * Or use example .env:\n ```bash\n cp .env.example .env\n ```\n * Fill in credentials for your version control provider (Gitlab/Github), LLM provider (Anthropic/OpenAI), and optional integrations (Jira/DevOps)\n * Choose LLM model (OpenAI/Anthropic) - see [https://ai.pydantic.dev/api/models/base/](https://ai.pydantic.dev/api/models/base/) for supported models\n\n **III. Install dependencies and run Dev Agents**\n\n ```bash\n pip install -e .[all] \n python -m entrypoints.main\n ```\n\nThen interact in your tools (e.g. Slack):\n`@DevAgents release notes for pull request 123 please`\n\n## Use Cases\n\n* **Release Notes & Changelog** \u2013 turns merged PRs into clear notes for products/libs.\n* **PR Review & Compliance Check** \u2013 design patterns, conventions, risk flags.\n* **Test-Notes** \u2013 maps diffs to flows; creates actionable test notes.\n* **User Story Refining** \u2013 improves stories with concrete, testable detail.\n\n_We\u2019re currently porting more use cases from our customer deployments:_\n\n* **Prod Log Root-Cause Analysis** \u2013 surfaces likely cause, links to code, suggests fixes.\n* **Support Reply Drafts** \u2013 proposes informed responses from logs/context.\n* **Code Migration Assistant** \u2013 highlights cross-repo impacts for framework/library jumps.\n\n## Who it\u2019s for\n\n* Engineering teams **5+ devs** on long-lived, multi-gen codebases\n* Teams with **documentation/compliance/support** overhead\n* CTOs who want to **multiply output** while protecting developer focus\n\n## Interfaces & Integrations\n\n**Interfaces**\n\n- **Slack** \u2022 **Teams** \u2022 **AG-UI** \u2022 **MCP** \u2022 **CLI** \u2022 **A2A**\n- Add more easily\n \n**Integrations**\n\n- **Git providers:** GitHub / GitLab / Azure DevOps\n- **Issues/PM:** Jira, GitHub Issues, GitLab Issues\n- **Observability:** ELK / Loki / Files (others via MCP/tools)\n- **Models:** All major providers and local LLMs\n- Add more easily\n\n## License\n\nCore is **AGPLv3** (free). 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