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deterministic-ai

Here are 264 public repositories matching this topic...

Context-Engineering-for-Multi-Agent-Systems

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.

  • Updated Aug 17, 2026
  • Jupyter Notebook
faramesh-core

Governance-as-Code for AI agents. Declarative constraints with deterministic enforcement. Provisioning Identity, Tool-based rules, Brokering Credentials & Ensuring safe deployment

  • Updated Jul 21, 2026
  • Go
qwed-verification

Open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution.

  • Updated Aug 27, 2026
  • Python

The bottleneck in AI coding isn't the model: It's the babysitting. Gobby is a local daemon that turns a task into a PR across Claude Code, Codex, Gemini, Qwen, and Droid. Stage dispatch, hook-time rules, progressive MCP proxy, and more. Gobby built Gobby: ~5K commits, ~15K completed tasks and counting.

  • Updated Aug 31, 2026
  • Python

Production-grade TypeScript AI runtime focused on reliability, governance, and reproducible LLM systems. Multi-provider gateway, agents, RAG, workflows, policy engine, audit trails, and deterministic testing — built for teams shipping AI in production.

  • Updated Aug 31, 2026
  • TypeScript

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