Declarative Agentic Framework (not7.ai)

NOT7 is a single-binary, declarative agent runtime that lets you define and run agent workflows entirely via JSON—no user code, no runtime dependencies. You drop the binary into your environment, write a config like the provided example (versioned goal, an LLM config specifying provider/model/temperature/max_tokens, node definitions, and routes), and execute. The JSON model exposes node types (e.g., "llm"), prompts, output formats, and explicit routes between steps so behavior is described, not programmed. For AI/ML practitioners this is significant because it collapses the gap between heavy, code-driven agent frameworks and brittle no-code platforms: agents become portable, auditable artifacts (single file + single binary) suitable for CI, edge, containers, and security-conscious deployments. Technically, NOT7 centralizes orchestration into a minimal runtime while delegating language understanding to configured LLM providers (the example uses OpenAI GPT-4). That implies you still need provider credentials and network access, but you gain reproducibility, a smaller attack surface, and easier review of agent logic. Trade-offs include less expressiveness for dynamic programmatic logic versus benefits in simplicity, deployment, and governance—making it a compelling option for straightforward agent pipelines and productionized orchestrations.