| Name | deepsecure JSON |
| Version |
0.1.10
JSON |
| download |
| home_page | None |
| Summary | DeepSecure: Secure your AI agent and agentic AI application ecosystem with DeepSecure. |
| upload_time | 2025-07-22 15:27:48 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | None |
| keywords |
security
ai
cli
credentials
vault
policy
sandbox
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<!-- # DeepSecure: Zero-Trust Security Control Plane for AI Agents -->
<div align="center">
<h1 style="display: flex; align-items: center;">
<img src="assets/deeptrail_logo.png" alt="DeepSecure Logo" height="24" style="transform: translateY(2px);" />
<span style="margin-left: 15px;">DeepSecure: Effortless Identity & Auth for AI Agents</span>
</h1>
<a href="https://pypi.org/project/deepsecure/">
<img src="https://img.shields.io/pypi/v/deepsecure?style=flat-square" alt="PyPI version"/>
</a>
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<img src="https://static.pepy.tech/badge/deepsecure" alt="PyPI Downloads"/>
</a>
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</a>
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</a>
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<br/>
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</a>
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</a>
</div>
<br/>
<div align="center">
**Give every AI agent a cryptographic identity and authenticated ephemeral credentials.
Handle auth, delegation, policy enforcement, and secure proxying automatically. Effortlessly add identity and auth to any AI agent -- regardless of any platform, any framework, and any model.**
[**📖 Documentation**](docs/) [**🎯 Examples**](examples/) [**💬 Community**](https://discord.gg/SUbswk8T)
</div>
## 🎯 Why DeepSecure?
### The Problem: AI Agents Are Security Nightmares
```python
# ❌ Current state: Security chaos
# 🔑 API keys scattered everywhere
os.environ["OPENAI_API_KEY"] = "sk-..." # Same key shared across all agents
# 🤖 No agent identity - who did what? which actions?
agent1 = YourFavoriteFramework() # Anonymous agent
agent2 = AnotherFramework() # Another anonymous agent
# 🚫 All-or-nothing permissions
agent.call_internal_api() # Full admin access to everything
agent.call_external_api() # Full admin access to everything
# No delegation, no policy enforcement, no audit trail
# Result: One breach = Complete system compromise
```
### The Solution: Comprehensive Zero-Trust for AI Agents
```python
# ✅ With DeepSecure: Complete security transformation
# 🔐 Cryptographic identity per agent
client = deepsecure.Client()
agent = client.agent("financial-analyst", auto_create=True) # Ed25519 identity
# 📋 Fine-grained policy enforcement happens automatically
# When agent fetches secrets, gateway validates JWT claims and enforces policy
secret = client.get_secret(
agent_id=agent.id,
secret_name="openai-api",
path="/v1/chat/completions"
)
# Gateway enforces: Does agent have OpenAI access? Rate limits? Business hours?
# Policy controls which agents can access which APIs, when, and how often
# 🔄 Secure delegation between agents
delegation_token = client.delegate_access(
delegator_agent_id=agent.id,
target_agent_id="data-processor",
resource="financial-data",
permissions=["read"],
ttl_seconds=1800)
# 📊 Complete audit trail + policy enforcement
# Every action logged, every access controlled, every delegation tracked
# Result: Zero-trust security with full visibility and control
```
## 🔥 From Security Nightmare to Zero-Trust Security
| **Without DeepSecure** | **With DeepSecure** |
|---|---|
| 🔑 **Shared API keys** | 🛡️ **AI Agents don't have access to API keys** |
| 🤖 **No Agent Identity** | 🔐 **AI Agents get Ed25519 Cryptographic Identity** |
| 🚫 **No Access Control** | 📋 **AI Agents with Fine-Grained Policies** |
| 📊 **No delegation and tracking** | 📊 **AI Agents with crypotographic delegation and audit trail** |
| 🏭 **Production Blockers** | 🚀 **Enterprise-Ready** |
## ⚙️ Getting Started
Get fully set up with DeepSecure in under 5 minutes—secure your AI agents instantly!
### Prerequisites
- **Python 3.9+**
- **pip** (Python package installer)
- **Access to an OS keyring** (macOS Keychain, Windows Credential Store, or Linux keyring) for secure agent private key storage
- **Docker and Docker Compose** for running the backend services
### 1. Install DeepSecure
```bash
pip install deepsecure
```
### 2. Backend Services Setup
DeepSecure uses a dual-service architecture:
- **`deeptrail-control`** - Control Plane (manages agents, policies, credentials)
- **`deeptrail-gateway`** - Data Plane (enforces policies, injects secrets)
#### Quick Start with Docker Compose
```bash
# Clone the repository
git clone https://github.com/DeepTrail/deepsecure.git
cd deepsecure
# Start both services
docker-compose up -d
# Verify services are running
docker-compose ps
```
This will start:
- **Control Plane** at `http://localhost:8000`
- **Gateway** at `http://localhost:8001`
- **PostgreSQL** database for persistent storage
### 3. Configure DeepSecure CLI
```bash
# Set the control plane URL
deepsecure configure set-url http://localhost:8000
# Verify connection
deepsecure health
```
### 4. Verify Installation
```bash
# Check version
deepsecure --version
# Test agent creation
deepsecure agent create --name "test-agent"
```
🎉 **You're all set!** Your secure AI agent infrastructure is now running.
**Next Steps:**
- Try the [30-second quickstart](#-30-second-quickstart) below
- Explore our [examples](#-examples) for real-world use cases
- Read the [Architecture Guide](docs/design/deepsecure-technical-overview.md) to understand the system
---
## ⚡ 30-Second Quickstart
```bash
# 1. Install DeepSecure
pip install deepsecure
# 2. Connect to your security control plane
# For local development:
deepsecure configure set-url http://localhost:8001
# For production (your deployed instance):
# deepsecure configure set-url https://deepsecure.yourcompany.com
# 3. Create your first AI agent identity
deepsecure agent create --name "my-ai-agent"
# 4. Use in your AI code
import deepsecure
client = deepsecure.Client()
agent = client.agent("my-ai-agent", auto_create=True)
secret = client.get_secret(name="openai-api", agent_name=agent.name)
# That's it! Your agent now has secure, audited access to OpenAI
```
**🎯 What you just achieved:**
- ✅ **Centralized Security**: All your AI agents use one security control plane
- ✅ **Zero Hardcoded Secrets**: Agents get ephemeral credentials automatically
- ✅ **Unique Identity**: Each agent has cryptographic identity (Ed25519)
- ✅ **Complete Audit Trail**: Every action is logged for compliance and debugging
- 🛡️ **Policy Enforcement Ready**: Fine-grained access control available via `deepsecure policy` commands
## 🏗️ Architecture: Control Plane + Data Plane
DeepSecure implements a **dual-service architecture** designed for production scale:
### 🧠 Control Plane (`deeptrail-control`)
- **Agent Identity Management**: Ed25519 cryptographic identities
- **Policy Engine**: Fine-grained RBAC with delegation support
- **Credential Issuance**: Ephemeral, time-bound access tokens
- **Audit Logging**: Immutable security event tracking
### 🚀 Data Plane (`deeptrail-gateway`)
- **Secret Injection**: Automatic API key insertion at runtime
- **Policy Enforcement**: Real-time access control decisions
- **Split-Key Security**: Client/backend key reassembly for ultimate protection
- **Request Proxying**: Transparent handling of all agent tool calls
```mermaid
graph TB
A[AI Agent/Developer] --> B[DeepSecure SDK]
%% Management Flow - Direct to Control
B -->|Management Operations<br/>Agent/Policy CRUD| D[Control Plane<br/>deeptrail-control]
%% Runtime Flow - Through Gateway
B -->|Runtime Operations<br/>Tool Calls| C[Gateway<br/>deeptrail-gateway]
C --> D
C --> E[External APIs<br/>OpenAI, AWS, etc.]
D --> F[Policy Engine]
D --> G[Split-Key Store]
D --> H[Audit Log]
%% Labels for clarity
B -.->|"deepsecure agent create<br/>deepsecure policy create"| D
B -.->|"agent.call_openai()<br/>with secret injection"| C
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
style E fill:#fff3e0
```
## 🔬 Examples
Explore our comprehensive example collection:
| Example | Description | Framework |
|---|---|---|
| [**Basic Agent Creation**](examples/01_create_agent_and_issue_credential.py) | Create your first secure agent | Core SDK |
| [**LangChain Integration**](examples/05_langchain_secure_tools.py) | Secure LangChain agents | LangChain |
| [**CrewAI Team Security**](examples/03_crewai_secure_tools.py) | Multi-agent crew with delegation | CrewAI |
| [**Gateway Injection**](examples/08_gateway_secret_injection_demo.py) | Automatic secret injection | Core SDK |
| [**Advanced Delegation**](examples/11_advanced_delegation_patterns.py) | Complex delegation workflows | Core SDK |
| [**Platform Bootstrap**](examples/12_platform_expansion_bootstrap.py) | Kubernetes/AWS agent bootstrapping | Infrastructure |
## 🚀 What's Next?
You've now seen the core workflow! Ready to dive deeper?
### 📚 Documentation
| Resource | Description |
|---|---|
| [**🚀 Getting Started**](docs/getting-started.md) | Complete setup guide with examples |
| [**🔧 CLI Reference**](docs/cli-reference.md) | All commands and options |
| [**📖 SDK Documentation**](docs/sdk/) | Python SDK with full API reference |
| [**🏗️ Architecture Guide**](docs/design/deepsecure-technical-overview.md) | Deep dive into system design |
| [**🔒 Security Model**](docs/security-model.md) | Cryptographic foundations |
| [**🚀 Deployment Guide**](docs/deployment/) | Production deployment patterns |
For hands-on examples, explore our [`examples/`](examples/) directory with LangChain, CrewAI, and multi-agent patterns.
## 🤝 Contributing
DeepSecure is open source, and your contributions are vital! Help us build the future of AI agent security.
🌟 **Star our GitHub Repository!**
🐛 **Report Bugs or Feature Requests**: Use [GitHub Issues](https://github.com/yourusername/deepsecure-cli/issues).
💡 **Suggest Features**: Share ideas on [GitHub Issues](https://github.com/yourusername/deepsecure-cli/issues) or [GitHub Discussions](https://github.com/yourusername/deepsecure-cli/discussions).
📝 **Improve Documentation**: Help us make our guides clearer.
💻 **Write Code**: Tackle bugs, add features, improve integrations.
For details on how to set up your development environment and contribute, please see our [Contributing Guide](CONTRIBUTING.md).
## 🫂 Community & Support
**GitHub Discussions**: The primary forum for questions, sharing use cases, brainstorming ideas, and general discussions about DeepSecure and AI agent security. This is where we want to build our community!
**GitHub Issues**: For bug reports and specific, actionable feature requests.
We're committed to fostering an open and welcoming community.
## 📜 License
This project is licensed under the terms of the [Apache 2.0 License](LICENSE).
---
<div align="center">
**⭐ Star us on GitHub if DeepSecure helps secure your AI agents!**
[**🚀 Get Started**](#-30-second-quickstart) • [**📖 Documentation**](docs/) • [**💬 Join Discord**](https://discord.gg/deepsecure)
*Built with ❤️ for the AI agent developer community*
</div>
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"description": "<!-- # DeepSecure: Zero-Trust Security Control Plane for AI Agents -->\n\n<div align=\"center\">\n <h1 style=\"display: flex; align-items: center;\">\n <img src=\"assets/deeptrail_logo.png\" alt=\"DeepSecure Logo\" height=\"24\" style=\"transform: translateY(2px);\" />\n <span style=\"margin-left: 15px;\">DeepSecure: Effortless Identity & Auth for AI Agents</span>\n </h1>\n <a href=\"https://pypi.org/project/deepsecure/\">\n <img src=\"https://img.shields.io/pypi/v/deepsecure?style=flat-square\" alt=\"PyPI version\"/>\n </a>\n <a href=\"https://pepy.tech/projects/deepsecure\">\n <img src=\"https://static.pepy.tech/badge/deepsecure\" alt=\"PyPI Downloads\"/>\n </a>\n <a href=\"https://pypi.org/project/deepsecure/\">\n <img src=\"https://img.shields.io/pypi/pyversions/deepsecure?style=flat-square\" alt=\"Python Version\"/>\n </a>\n <a href=\"https://opensource.org/licenses/Apache-2.0\">\n <img src=\"https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=flat-square\" alt=\"License\"/>\n </a>\n <a href=\"https://deepwiki.com/DeepTrail/deepsecure\"><img src=\"https://deepwiki.com/badge.svg\" alt=\"Ask DeepWiki\"/></a>\n <br/>\n <a href=\"https://github.com/DeepTrail/deepsecure/stargazers\">\n <img src=\"https://img.shields.io/github/stars/DeepTrail/deepsecure?style=flat-square\" alt=\"GitHub stars\"/>\n </a>\n <a href=\"https://github.com/DeepTrail/deepsecure/discussions\">\n <img src=\"https://img.shields.io/github/discussions/DeepTrail/deepsecure?style=flat-square\" alt=\"GitHub Discussions\"/>\n </a>\n <a href=\"https://github.com/DeepTrail/deepsecure/pulls\">\n <img src=\"https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square\" alt=\"PRs Welcome\"/>\n </a>\n <a href=\"https://x.com/imaxxs\">\n <img src=\"https://img.shields.io/badge/Follow-Mahendra-blue?style=flat-square&logo=x\" alt=\"Follow on X\"/>\n </a>\n <a href=\"https://x.com/0xdeeptrail\">\n <img src=\"https://img.shields.io/badge/Follow-@0xdeeptrail-blue?style=flat-square&logo=x\" alt=\"Follow on X\"/>\n </a>\n <a href=\"https://www.linkedin.com/company/deeptrail\">\n <img src=\"https://img.shields.io/badge/Follow-DeepTrail-blue?style=flat-square&logo=linkedin\" alt=\"Follow on LinkedIn\"/>\n </a>\n</div>\n<br/>\n\n<div align=\"center\">\n\n **Give every AI agent a cryptographic identity and authenticated ephemeral credentials.\n Handle auth, delegation, policy enforcement, and secure proxying automatically. Effortlessly add identity and auth to any AI agent -- regardless of any platform, any framework, and any model.**\n\n[**\ud83d\udcd6 Documentation**](docs/) [**\ud83c\udfaf Examples**](examples/) [**\ud83d\udcac Community**](https://discord.gg/SUbswk8T)\n\n</div>\n\n## \ud83c\udfaf Why DeepSecure?\n\n### The Problem: AI Agents Are Security Nightmares\n\n```python\n# \u274c Current state: Security chaos\n# \ud83d\udd11 API keys scattered everywhere\nos.environ[\"OPENAI_API_KEY\"] = \"sk-...\" # Same key shared across all agents\n\n# \ud83e\udd16 No agent identity - who did what? which actions?\nagent1 = YourFavoriteFramework() # Anonymous agent\nagent2 = AnotherFramework() # Another anonymous agent\n\n# \ud83d\udeab All-or-nothing permissions\nagent.call_internal_api() # Full admin access to everything\nagent.call_external_api() # Full admin access to everything\n\n# No delegation, no policy enforcement, no audit trail\n# Result: One breach = Complete system compromise\n```\n\n### The Solution: Comprehensive Zero-Trust for AI Agents\n\n```python\n# \u2705 With DeepSecure: Complete security transformation\n# \ud83d\udd10 Cryptographic identity per agent \nclient = deepsecure.Client()\nagent = client.agent(\"financial-analyst\", auto_create=True) # Ed25519 identity\n\n# \ud83d\udccb Fine-grained policy enforcement happens automatically\n# When agent fetches secrets, gateway validates JWT claims and enforces policy\nsecret = client.get_secret(\n agent_id=agent.id, \n secret_name=\"openai-api\", \n path=\"/v1/chat/completions\"\n)\n# Gateway enforces: Does agent have OpenAI access? Rate limits? Business hours?\n# Policy controls which agents can access which APIs, when, and how often\n\n# \ud83d\udd04 Secure delegation between agents\ndelegation_token = client.delegate_access(\n delegator_agent_id=agent.id, \n target_agent_id=\"data-processor\", \n resource=\"financial-data\", \n permissions=[\"read\"], \n ttl_seconds=1800)\n\n# \ud83d\udcca Complete audit trail + policy enforcement\n# Every action logged, every access controlled, every delegation tracked\n# Result: Zero-trust security with full visibility and control\n```\n\n## \ud83d\udd25 From Security Nightmare to Zero-Trust Security\n\n| **Without DeepSecure** | **With DeepSecure** |\n|---|---|\n| \ud83d\udd11 **Shared API keys** | \ud83d\udee1\ufe0f **AI Agents don't have access to API keys** |\n| \ud83e\udd16 **No Agent Identity** | \ud83d\udd10 **AI Agents get Ed25519 Cryptographic Identity** |\n| \ud83d\udeab **No Access Control** | \ud83d\udccb **AI Agents with Fine-Grained Policies** |\n| \ud83d\udcca **No delegation and tracking** | \ud83d\udcca **AI Agents with crypotographic delegation and audit trail** |\n| \ud83c\udfed **Production Blockers** | \ud83d\ude80 **Enterprise-Ready** |\n\n## \u2699\ufe0f Getting Started\n\nGet fully set up with DeepSecure in under 5 minutes\u2014secure your AI agents instantly!\n\n### Prerequisites\n- **Python 3.9+**\n- **pip** (Python package installer) \n- **Access to an OS keyring** (macOS Keychain, Windows Credential Store, or Linux keyring) for secure agent private key storage\n- **Docker and Docker Compose** for running the backend services\n\n### 1. Install DeepSecure\n```bash\npip install deepsecure\n```\n\n### 2. Backend Services Setup\n\nDeepSecure uses a dual-service architecture:\n- **`deeptrail-control`** - Control Plane (manages agents, policies, credentials) \n- **`deeptrail-gateway`** - Data Plane (enforces policies, injects secrets)\n\n#### Quick Start with Docker Compose\n```bash\n# Clone the repository\ngit clone https://github.com/DeepTrail/deepsecure.git\ncd deepsecure\n\n# Start both services\ndocker-compose up -d\n\n# Verify services are running\ndocker-compose ps\n```\n\nThis will start:\n- **Control Plane** at `http://localhost:8000`\n- **Gateway** at `http://localhost:8001`\n- **PostgreSQL** database for persistent storage\n\n### 3. Configure DeepSecure CLI\n```bash\n# Set the control plane URL\ndeepsecure configure set-url http://localhost:8000\n\n# Verify connection\ndeepsecure health\n```\n\n### 4. Verify Installation\n```bash\n# Check version\ndeepsecure --version\n\n# Test agent creation\ndeepsecure agent create --name \"test-agent\"\n```\n\n\ud83c\udf89 **You're all set!** Your secure AI agent infrastructure is now running.\n\n**Next Steps:**\n- Try the [30-second quickstart](#-30-second-quickstart) below\n- Explore our [examples](#-examples) for real-world use cases\n- Read the [Architecture Guide](docs/design/deepsecure-technical-overview.md) to understand the system\n\n---\n\n## \u26a1 30-Second Quickstart\n\n```bash\n# 1. Install DeepSecure\npip install deepsecure\n\n# 2. Connect to your security control plane\n# For local development:\ndeepsecure configure set-url http://localhost:8001\n\n# For production (your deployed instance): \n# deepsecure configure set-url https://deepsecure.yourcompany.com\n\n# 3. Create your first AI agent identity\ndeepsecure agent create --name \"my-ai-agent\"\n\n# 4. Use in your AI code\nimport deepsecure\n\nclient = deepsecure.Client()\nagent = client.agent(\"my-ai-agent\", auto_create=True)\nsecret = client.get_secret(name=\"openai-api\", agent_name=agent.name)\n\n# That's it! Your agent now has secure, audited access to OpenAI\n```\n\n**\ud83c\udfaf What you just achieved:**\n- \u2705 **Centralized Security**: All your AI agents use one security control plane\n- \u2705 **Zero Hardcoded Secrets**: Agents get ephemeral credentials automatically \n- \u2705 **Unique Identity**: Each agent has cryptographic identity (Ed25519)\n- \u2705 **Complete Audit Trail**: Every action is logged for compliance and debugging\n- \ud83d\udee1\ufe0f **Policy Enforcement Ready**: Fine-grained access control available via `deepsecure policy` commands\n\n## \ud83c\udfd7\ufe0f Architecture: Control Plane + Data Plane\n\nDeepSecure implements a **dual-service architecture** designed for production scale:\n\n### \ud83e\udde0 Control Plane (`deeptrail-control`)\n- **Agent Identity Management**: Ed25519 cryptographic identities\n- **Policy Engine**: Fine-grained RBAC with delegation support\n- **Credential Issuance**: Ephemeral, time-bound access tokens\n- **Audit Logging**: Immutable security event tracking\n\n### \ud83d\ude80 Data Plane (`deeptrail-gateway`)\n- **Secret Injection**: Automatic API key insertion at runtime\n- **Policy Enforcement**: Real-time access control decisions\n- **Split-Key Security**: Client/backend key reassembly for ultimate protection\n- **Request Proxying**: Transparent handling of all agent tool calls\n\n```mermaid\ngraph TB\n A[AI Agent/Developer] --> B[DeepSecure SDK]\n \n %% Management Flow - Direct to Control\n B -->|Management Operations<br/>Agent/Policy CRUD| D[Control Plane<br/>deeptrail-control]\n \n %% Runtime Flow - Through Gateway \n B -->|Runtime Operations<br/>Tool Calls| C[Gateway<br/>deeptrail-gateway]\n C --> D\n C --> E[External APIs<br/>OpenAI, AWS, etc.]\n \n D --> F[Policy Engine]\n D --> G[Split-Key Store] \n D --> H[Audit Log]\n \n %% Labels for clarity\n B -.->|\"deepsecure agent create<br/>deepsecure policy create\"| D\n B -.->|\"agent.call_openai()<br/>with secret injection\"| C\n \n style A fill:#e1f5fe\n style C fill:#f3e5f5 \n style D fill:#e8f5e8\n style E fill:#fff3e0\n```\n## \ud83d\udd2c Examples\n\nExplore our comprehensive example collection:\n\n| Example | Description | Framework |\n|---|---|---|\n| [**Basic Agent Creation**](examples/01_create_agent_and_issue_credential.py) | Create your first secure agent | Core SDK |\n| [**LangChain Integration**](examples/05_langchain_secure_tools.py) | Secure LangChain agents | LangChain |\n| [**CrewAI Team Security**](examples/03_crewai_secure_tools.py) | Multi-agent crew with delegation | CrewAI |\n| [**Gateway Injection**](examples/08_gateway_secret_injection_demo.py) | Automatic secret injection | Core SDK |\n| [**Advanced Delegation**](examples/11_advanced_delegation_patterns.py) | Complex delegation workflows | Core SDK |\n| [**Platform Bootstrap**](examples/12_platform_expansion_bootstrap.py) | Kubernetes/AWS agent bootstrapping | Infrastructure |\n\n## \ud83d\ude80 What's Next?\n\nYou've now seen the core workflow! Ready to dive deeper?\n\n### \ud83d\udcda Documentation\n| Resource | Description |\n|---|---|\n| [**\ud83d\ude80 Getting Started**](docs/getting-started.md) | Complete setup guide with examples |\n| [**\ud83d\udd27 CLI Reference**](docs/cli-reference.md) | All commands and options |\n| [**\ud83d\udcd6 SDK Documentation**](docs/sdk/) | Python SDK with full API reference |\n| [**\ud83c\udfd7\ufe0f Architecture Guide**](docs/design/deepsecure-technical-overview.md) | Deep dive into system design |\n| [**\ud83d\udd12 Security Model**](docs/security-model.md) | Cryptographic foundations |\n| [**\ud83d\ude80 Deployment Guide**](docs/deployment/) | Production deployment patterns |\n\nFor hands-on examples, explore our [`examples/`](examples/) directory with LangChain, CrewAI, and multi-agent patterns.\n\n## \ud83e\udd1d Contributing\n\nDeepSecure is open source, and your contributions are vital! Help us build the future of AI agent security.\n\n\ud83c\udf1f **Star our GitHub Repository!** \n\ud83d\udc1b **Report Bugs or Feature Requests**: Use [GitHub Issues](https://github.com/yourusername/deepsecure-cli/issues). \n\ud83d\udca1 **Suggest Features**: Share ideas on [GitHub Issues](https://github.com/yourusername/deepsecure-cli/issues) or [GitHub Discussions](https://github.com/yourusername/deepsecure-cli/discussions). \n\ud83d\udcdd **Improve Documentation**: Help us make our guides clearer. \n\ud83d\udcbb **Write Code**: Tackle bugs, add features, improve integrations.\n\nFor details on how to set up your development environment and contribute, please see our [Contributing Guide](CONTRIBUTING.md).\n\n## \ud83e\udec2 Community & Support\n\n**GitHub Discussions**: The primary forum for questions, sharing use cases, brainstorming ideas, and general discussions about DeepSecure and AI agent security. This is where we want to build our community!\n\n**GitHub Issues**: For bug reports and specific, actionable feature requests.\n\nWe're committed to fostering an open and welcoming community.\n\n## \ud83d\udcdc License\n\nThis project is licensed under the terms of the [Apache 2.0 License](LICENSE).\n\n---\n\n<div align=\"center\">\n\n**\u2b50 Star us on GitHub if DeepSecure helps secure your AI agents!**\n\n[**\ud83d\ude80 Get Started**](#-30-second-quickstart) \u2022 [**\ud83d\udcd6 Documentation**](docs/) \u2022 [**\ud83d\udcac Join Discord**](https://discord.gg/deepsecure)\n\n*Built with \u2764\ufe0f for the AI agent developer community*\n\n</div>\n",
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