AI Agent

Cynative

Open-source AI tool for deep infrastructure research, running frontier models across code, cloud, and runtime to deliver verified answers.

What is Cynative?

Cynative is an open-source AI agent that performs deep research on your infrastructure by reasoning through GitHub, GitLab, AWS, GCP, Azure, and Kubernetes as a single system, writing and running sandboxed code to fan out queries and cross-checking findings for verification.

Cynative vs Similar AI Tools

Pricing ModelFreeFree, FreemiumFreeFree
Free Credits
Key Features
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
  • Multi-agent workflow with verification and self-healing
  • 50+ AI models auto-routed per agent
  • 1000+ OAuth2 app integrations
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Live status polling (working, waiting, finished, errored, idle, dead)
  • Hierarchical group session tree with folding and reordering
  • Quick prompt injection into any session or group
Pros
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
  • Replaces 10+ separate tools with one platform
  • Multi-agent orchestration saves time and context switching
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Run multiple AI coding agents side by side in one terminal
  • Agents persist in tmux sessions even after closing the manager
Cons
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
  • Free tier limited to 5,000 credits per month
  • May have a learning curve for complex workflows
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Terminal-only interface; no GUI
  • Requires tmux and compatible platforms (macOS, Linux, WSL)
Best For
  • Security engineers
  • DevOps teams
  • Marketing teams
  • Content creators
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Developers using multiple AI coding agents simultaneously
  • Teams needing to monitor and interact with agent sessions

How to use Cynative?

  1. 1Install via Homebrew: brew install cynative/tap/cynative
  2. 2Set your LLM provider and API key (e.g., export ANTHROPIC_API_KEY=...)
  3. 3Run a task: cynative -p "which IAM roles can escalate to admin?"
  4. 4For interactive sessions: cynative "live cloud resources absent from IaC - drift"

Cynative Key Features

  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
  • Evidence-based verification of all findings
  • One binary, no external dependencies, data sovereignty

Cynative Use Cases

  • Security audit of cloud permissions and IAM roles
  • Detection of cloud drift and unmanaged resources
  • Tracing high-risk permissions to source commits
  • Finding leaked credentials and assessing blast radius

Cynative Pricing & Free Credits

Cynative currently operates on a Free model.

This tool is completely free to use

Open Source

Free

Free and open-source under Apache-2.0 license, self-hosted.

Cynative Pros & Cons

Pros

  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
  • Sandboxed code execution limits blast radius
  • Supports multiple LLM providers for flexibility

Cons

  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
  • Setup requires familiarity with CLI and cloud credentials

What is Cynative best for?

  • Security engineers
  • DevOps teams
  • Cloud architects

Cynative FAQ

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