INET-4.7.0 Released
This is a new feature release in the INET 4.x branch. The central theme of this release is the maturation of the IPv6 protocol family, bringing it substantially closer to feature parity with IPv4. Highlights include a new declarative IPv6 network configurator, IPv6 multicast routing (MLD, and PIM-DM/PIM-SM over IPv6), node lifecycle support, Duplicate Address Detection, a modernized Mobile IPv6 (MIPv6) model with new Proxy Mobile IPv6 (PMIPv6) support, and IPv6 support in BGP (MP-BGP) and IPsec. Outside the IPv6 area, the release brings satellite and GNSS track mobility models with geographic visualization, a substantial overhaul of the STP and RSTP spanning tree models, major BGP improvements, TCP Path MTU Discovery, and a configurable RNG grouping mechanism. The release also contains numerous smaller improvements and bug fixes. Requires OMNeT++ 6.4 or later.
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OMNeT++ 6.4.0 AI & LLM Technology Preview 2 Available

Ever wished you could just ask your simulation why a packet was dropped, or let an AI co-pilot diagnose a network anomaly for you?

We are excited to share the OMNeT++ 6.4.0 AI & LLM Technology Preview 2, bringing the power of Large Language Models directly into your simulation workflow!

We need your help to test these experimental features and shape the future of AI-assisted simulation. Here is what you can do with this new preview:

What’s Inside?

  • Chat directly with Qtenv: A new integrated chat interface in Qtenv lets you interact with LLM services (both cloud-based and local models like Ollama) without leaving the simulation window.
  • AI-Controlled Simulations: Built on the standard Model Context Protocol (MCP), the simulation hosts an MCP server. This allows LLMs to query and programmatically manipulate your active simulations in real time.
  • On-the-Fly C++ Execution (Linux-only): The LLM can generate and run custom C++ snippets using a JIT interpreter to inspect complex data structures and answer highly specific queries. (Launched safely via the opp_sandbox utility).

See It in Action

We have prepared two practical, hands-on showcases to demonstrate these features:

How to Try It & Give Feedback

This preview is available for Linux (x86_64) and macOS (aarch64).

  1. Head over to the Preview Downloads page to download the pre-built packages.
  2. Read the Release Notes for detailed setup instructions.
  3. Share your thoughts, bugs, and feature ideas with us on GitHub Discussions!

Your feedback is welcome! Please download it, try the showcases, run it against your own models, and let us know what you think!

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OMNeT++ 6.4.0 Available

This release brings major improvements to the simulation kernel’s numerical stability, a redesigned WATCH mechanism with full STL container inspection, a pluggable RNG manager, and significant NED editor enhancements including figure rendering, rename refactoring, and new display string features. The Qtenv inspector and the IDE also received substantial usability improvements.

Issues fixed in version 6.4.0.

Read the What’s New page for more details.

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INET-4.6.0 Released
This is a new feature release in the INET 4.x branch. Highlights include new protocol implementations for QUIC, Ethernet 10BASE-T1S, IPsec, and MRP; major refinements to the clock model; a reimplementation of IEEE 802.1AS (gPTP); and an important refactoring of the wireless physical layer's analog domain. The release continues to focus on improving correctness, accuracy, modularity, and long-term maintainability while addressing several long-standing limitations. Requires OMNeT++ 6.2 or later.
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Get your OMNeT++/INET Questions Answered by the AI
We are excited to announce a new interactive resource for the community: AI-powered documentation for OMNeT++ and INET. Available at https://ai.omnetpp.org and https://ai-inet.omnetpp.org, this tool is hosted by DeepWiki and allows you to chat with the documentation, ask follow-up questions, and explore complex topics interactively.
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