AI Frameworks · j3ssie

osmedeus

Osmedeus is a Go-based orchestration engine for security testing that automates complex reconnaissance and vulnerability scanning workflows through declarative YAML definitions. It supports distributed execution across multiple runners (local, Docker, SSH, cloud), integrates LLM agents, and provides a REST API with web dashboard.

Talk to DEV.co Discuss Implementation

Source: GitHub — github.com/j3ssie/osmedeus

6.5k

GitHub stars

Forks

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	j3ssie/osmedeus
Owner	j3ssie
Primary language	Go
License	MIT — OSI-approved
Stars	6.5k
Forks	1k
Open issues	8
Latest release	v5.0.3 (2026-05-29)
Last updated	2026-06-01
Source	https://github.com/j3ssie/osmedeus

What osmedeus is

Built in Go with Redis-backed master-worker queue system, Osmedeus executes declarative YAML pipelines with 80+ utility functions (nmap, SSH, TypeScript/Python scripting, SARIF parsing). Supports event-driven triggers (cron, file-watch), agentic LLM orchestration with sub-agent loops, and multi-cloud provisioning (DigitalOcean, AWS, GCP, Linode, Azure).

Quickstart

Get the osmedeus source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/j3ssie/osmedeus.git2cd osmedeus3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Bug Bounty & Continuous Reconnaissance

Automate large-scale reconnaissance workflows with modular YAML definitions, target batching, and asset discovery deduplication—ideal for bug bounty programs or continuous attack-surface monitoring.

Distributed Security Testing at Scale

Leverage Redis queue system and multi-runner architecture (host, Docker, SSH) to run parallel scans across distributed infrastructure with centralized orchestration and reporting.

LLM-Augmented Security Analysis

Integrate agentic LLM workflows (Claude, Gemini, etc.) as first-class orchestration steps to perform code analysis, findings triage, or automated exploit generation within security pipelines.

Implementation considerations

YAML workflow syntax and 80+ function library require team learning curve; recommend reviewing quickstart and documentation before scaling.
Redis broker setup, worker registration, and cloud credential management (AWS/GCP keys) must be handled before distributed execution; consider secret storage strategy.
LLM agent integration requires API keys and pricing model; ensure cost controls are enabled (Osmedeus mentions 'cost controls' but specifics are not detailed in README).
Step executors span multiple runtimes (bash, Docker, SSH, HTTP, Python/TypeScript); validate each target runner environment before production rollout.
Database backend (implied SQLite or PostgreSQL) must be provisioned and backed up; no migration or data retention policy is documented.

When to avoid it — and what to weigh

Lightweight Single-Tool Substitution — If you need a simple wrapper around one tool (e.g., just run nmap), Osmedeus overhead is not justified; use the underlying tool directly or a simpler shell orchestrator.
Strict Compliance/Audit Requirements — While YAML-based workflows are auditable, the breadth of execution contexts (local, Docker, SSH, cloud, LLM agents) and lack of published third-party security audit may conflict with strict regulatory requirements.
Air-Gapped Environments Without Preparatory Work — Cloud provisioning, LLM integration, and external service calls require external connectivity; offline deployments demand significant customization and pre-staging.
Windows-Primary Infrastructure — Go binary is available but main documentation, examples, and runner implementations favor Linux/macOS; Windows support is not clearly documented.

License & commercial use

MIT License (OSI-approved permissive license). Allows commercial use, modification, and distribution with attribution.

MIT is a permissive OSI license that explicitly permits commercial use without royalties or contribution requirements. However, no commercial support, SLA, or warranty is stated in the README. Organizations should assume community-driven maintenance and review the project's responsiveness to security issues.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Strong
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Good
Assessment confidence	High

Security considerations

Osmedeus executes arbitrary scripts (bash, Python, TypeScript) and makes outbound HTTP calls; runs SSH commands on remote systems; integrates LLM agents that process security data. Key considerations: (1) sandboxed execution contexts (Docker runners) are recommended for untrusted workflows; (2) encrypted credential storage is mentioned but mechanism not detailed; (3) no published third-party security audit; (4) webhook triggers require authentication validation; (5) LLM step output may leak sensitive findings to external APIs. Recommend threat modeling before handling confidential data.

Alternatives to consider

Metasploit / Nexpose

Purpose-built commercial vulnerability management platforms with extensive integrations and support; better for compliance/ticketing integration but less flexible for custom workflow orchestration.

Nessus / Qualys / Rapid7

Enterprise-grade scanning with extensive plugin libraries and enterprise support; suitable for large organizations with SLA requirements but higher cost and less workflow customization.

Custom Bash/Python + Ansible

Lower overhead, no new engine to learn, and deep control; suitable for teams with strong infrastructure/scripting expertise, but lacks built-in result aggregation, LLM integration, and distributed queue management.

Software development agency

Build on osmedeus with DEV.co software developers

Osmedeus offers powerful YAML-based orchestration for reconnaissance and vulnerability scanning. Evaluate feasibility for your infrastructure, test distributed execution with Redis backend, and plan LLM cost governance before production rollout.

Talk to DEV.co

Related open-source tools

Surfaced by semantic similarity across the DEV.co open-source index.

giskard-oss SWE-agent trae-agent

Related on DEV.co

Explore the category and the services that help you build with it.

AI Frameworks DevOps & Automation Cloud Deployment & Infrastructure Talk to DEV.co

osmedeus FAQ

Can I run Osmedeus without external dependencies (Redis, database)?

The README does not clarify minimum dependencies for single-runner, non-distributed mode. Likely Redis and a database are required for core orchestration; requires testing or documentation review.

Is there a cloud-hosted managed version of Osmedeus?

Not mentioned in README or project artifacts. Appears to be self-hosted only. Consider checking official website (osmedeus.org) or sponsorship links for potential managed offerings.

How does Osmedeus handle sensitive data (API keys, findings)?

README mentions 'encrypted data handling' and 'secure credential management' but specifics are not detailed. Recommend reviewing documentation and code before handling confidential data.

What is the cost/pricing model?

Osmedeus engine itself is free (MIT license). Costs arise from: cloud infrastructure provisioning (DigitalOcean, AWS, etc.), LLM API calls (Claude, Gemini), and operational overhead (Redis, database, compute).

Custom software development services

From first prototype to production, DEV.co delivers software development services around tools like osmedeus. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across ai frameworks and beyond.

Ready to Automate Your Security Workflows?

Talk to DEV.co Schedule a Consultation