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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
| Date | Stars |
|---|---|
| 2026-07-31 | 273 |
| 2026-08-06 | 273 |
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# Context Engineering for Multi-Agent Systems [](https://opensource.org/licenses/MIT) <h3 align="center"> Move beyond prompting to build a Context Engine in a transparent architecture of context and reasoning </h3> <img src="./Chapter10/universal_context_engine.png" alt="Universal Context Engine Blueprint" width="40%" align="left" style="margin-right: 20px;"> [**🎞️▶️**](https://denis2054.github.io/Context-Engineering-for-Multi-Agent-Systems/media/player.html) **In 21st‑century Agentic AI, Natural‑Language‑Programmed LLMs are the execution agents, and the domain‑agnostic dual‑RAG MAS is the environment they operate in.** This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic, **transparent**, **observable**, and **sovereign** **Context Engine**. By building universal, domain-agnostic Multi-Agent Systems through high-level semantic orchestration, you can save thousands of lines of code while maintaining 100% observability. <br clear="left"/> <p align="center">Copyright 2025-2026, Denis Rothman. <strong>Last updated: June 02, 2026</strong></p> **June 3, 2026 — New Gradio Standalone UI:** `Chapter10/Universal_Context_Engine_Gradio_UI.ipynb` now contains a deployable **Gradio web app** — live public URL in Colab, one-command deploy to Hugging Face Spaces. <p align="center">See the <a href="./CHANGELOG.md">Changelog</a> for updates, fixes, and upgrades(past, present, coming).</p> Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) using the ultimate new programming language: [**🛰️ View Software Evolution Timeline**](https://denis2054.github.io/Context-Engineering-for-Multi-Agent-Systems/media/index.html) 🐬 March 14, 2026 update of the January 24, 2026 Release: **OpenAI gpt-5.4 implemented** in the Universal Context Engine **Sovereign Universal Context Engine**: A new **Glass Box Context Engine** implementation - `Chapter10/Universal_Context_Engine.ipynb` and `Chapter10/Universal_Context_Engine_UI.ipynb`- demonstrating **domain-agnostic architecture** by running *cross-domain* use cases on the same core. **Token Analytics**: engine.py and the Dashboard provide rigorous transparency into token usage (Input, Output, Difference) for cost and verbosity analysis. The Token & Cost Analytics built into engine.py and the Dashboard implement what is now termed **tokenomics** in agentic AI systems (Salim et al., MSR 2026; Bergemann et al., ACM EC 2025) — rigorous per-step tracking of token consumption, cost, and verbosity across the full multi-agent pipeline. ### 🔧 LLM API Update For a detailed list of affected notebooks and all changes, see the ➡️ [CHANGELOG.md](./CHANGELOG.md) **LLM API update:** Several notebooks have been upgraded to use **GPT‑5.1** along with the latest OpenAI library standards. These improvements provide *better performance, lower reasoning latency,* and more reliable handling of structured agent outputs. This update also includes fixes to the **Moderation API**, ensuring safer and more robust processing of multi‑agent interactions. **Alternative: Sovereign AI Without External LLM APIs:** If you prefer not to rely on an external LLM API, a full **DeepSeek‑R1 Sovereign AI Implementation Guide and the Hardware benchmark notebook** (with code) is available: ➡️ **[DeepSeek‑R1 Sovereign AI Guide](https://github.com/Denis2054/Context-Engineering-for-Multi-Agent-Systems/blob/main/sovereign_ai/README.md)** </p> <br> <p align="center"> <strong>🚀 NEW: Interactive Trace Dashboard</strong><br> <em>Available in the Context Engine Room of Chapters 8 & 9: Visualize agent reasoning with our new HTML-based trace renderer.</em><br> <img src="./Chapter08/dashboard_concept.svg" alt="New Interactive Dashboard" width="80%"> </p> <p align="center"> Denis Rothman</p> <p align="center"> <a href="https://packt.l
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8a25269b51116719, topic:multi-agent-systems, topic:agentic-ai, name:multi-agent
matched fp:8a25269b51116719, topic:rag, topic:context-engineering, name:context engineering
matched fp:8a25269b51116719, topic:mcp, topic:model-context-protocol