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llm-runtime

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Forge is the open-source runtime for Anthropic's Agent Skills standard — built for the agent that runs next to a service, in your environment, on infrastructure you already operate. Write a SKILL.md. Compile to a portable, hardened agent. Deploy it anywhere containers run: Kubernetes, on-prem, air-gapped, embedded in CI, or as an A2A endpoint.

  • Updated Jun 10, 2026
  • Go

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 Jun 4, 2026
  • TypeScript

L0: The Missing Reliability Substrate for AI. Streaming-first. Reliable. Replayable. Deterministic. Multimodal. Retries. Continuation. Fallbacks (provider & model). Consensus. Parallelization. Guardrails. Atomic event logs. Byte-for-byte replays.

  • Updated Jun 9, 2026
  • TypeScript

L0: The Missing Reliability Substrate for AI. Streaming-first. Reliable. Replayable. Deterministic. Multimodal. Retries. Continuation. Fallbacks (provider & model). Consensus. Parallelization. Guardrails. Atomic event logs. Byte-for-byte replays.

  • Updated Jun 3, 2026
  • Python
gro

An LLM agent runtime that treats context like virtual memory: swim-lane paging, semantic retrieval, and an inline stream-marker DSL for runtime control. Multi-provider (Anthropic, OpenAI, Google, xAI, Groq, local). MCP-integrated. Self-modifying agent mode (PLASTIC). Containerized deployment.

  • Updated May 17, 2026
  • TypeScript

mindscript-runtime is the minimal, reference implementation of the MindScript engine. It provides: - a CLI for running .ms / .ms.md files - a parser that converts MindScript into an internal AST - a stage-based runtime that executes each stage sequentially - adapters for different LLM backends (OpenAI, Gemini, local stub)

  • Updated Dec 10, 2025
  • Python

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