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Cyberstrikeai

Cyberstrikeai is a Go-based, self-hosted AI cybersecurity framework that coordinates agents, MCP-native tools, RAG knowledge, visual workflows and attack-chain analysis for authorized security operations. It combines planning and execution with human oversight, evidence retention and replay.

Independent OpenViST project profile, based on linked sources.

Cyberstrikeai — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Cyberstrikeai when a security operation needs AI-assisted coordination together with approvals, tool controls, retained evidence and replay. Its self-hosted model also suits teams that want to operate the framework in their own environment.

Who it is for

  • Security teams coordinating authorized operations
  • Penetration testers working with AI-assisted planning and tool execution
  • Builders creating self-hosted cybersecurity agents and workflows
  • Teams that need reviewable evidence and replayable attack-chain work

Documented uses

  • Turn security intent into governed agent and tool actions.
  • Coordinate single-agent or multi-agent security workflows.
  • Connect authorized assessment tools through MCP.
  • Retrieve organization-specific security knowledge for planning and analysis.
  • Record, review and replay operational evidence and attack chains.
Before you choose

Requirements & limits

The project is publicly available as an open-source Apache-2.0 repository. Technical intelligence identifies Linux, Windows, macOS, CLI, Docker and self-hosted/server environments.

  • The framework is written in Go and uses Eino-powered agents.
  • MCP support covers HTTP, stdio, SSE, external federation and dynamic tool discovery.
  • Governance features include human approvals, allowlists, RBAC, audit logs and configurable pre-execution checks.
  • The knowledge layer includes query rewriting, vector retrieval, reranking and result post-processing.
  • The repository warns operators to use the system only on owned or explicitly authorized systems and to review hardening guidance before enabling high-risk capabilities.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the Cyberstrikeai workspace from the project documentation

Reach the project’s documented starting point for a self-hosted Cyberstrikeai deployment.

Before you start

  • A Linux, Windows or macOS environment, or a Docker-capable self-hosted/server environment.
  • Access to the Cyberstrikeai repository and its Quick start, documentation and security-hardening materials.

Steps

  1. Open the Cyberstrikeai repository and follow its documented Quick start entry.

  2. Review the English documentation linked from the repository.

  3. Review the security model and hardening guide before enabling high-risk tools, WebShell or C2 capabilities.

  4. Use the system only with owned or explicitly authorized systems.

Expected outcome

A deployment can be prepared according to the project’s own quick-start and security guidance.

Guide limitations

  • The available material does not include the actual quick-start commands, configuration values or provider requirements.
  • This is a documentation-led setup guide, not a verified deployment or execution test.
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
CyberstrikeaiTurn security intent into governed agent and tool actions.CLI, Docker, Linux, macOSThe project is publicly available as an open-source Apache-2.0 repository. Technical intelligence identifies Linux, Windows, macOS, CLI, Docker and self-hosted/server environments.
AgeniteDefine typed tools with JSON Schema validation and error handling.CLI
VeldraCreate an agent with a policy, tools, skills, knowledge base and reasoning method.Self-hostedThe documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
2 October 2026
Original website title
AIPentest/CyberStrikeAI · Official homepage title · retained in its source language