Search Results for "control flow graph"

Overmind is an open-source training and optimization platform for continuously improving production AI agents. It scans an agent codebase to map capabilities, prompts, tools, and tasks into a structured graph. OpenTelemetry traces can be converted into versioned evaluation and training datasets tied to those capabilities. The platform runs evaluations, prompt and control-flow experiments, and fine-tuning workflows against real agent behavior. Resulting models can be benchmarked, deployed, rolled back, or accessed through one OpenAI-compatible inference API. ...

...LangGraph allows you to define flows that involve cycles, essential for most agentic architectures, differentiating it from DAG-based solutions. As a very low-level framework, it provides fine-grained control over both the flow and state of your application, crucial for creating reliable agents. Additionally, LangGraph includes built-in persistence, enabling advanced human-in-the-loop and memory features.

Hive is an open-source agent development framework that helps developers build autonomous, reliable, self-improving AI agents by letting them describe goals in ordinary natural language instead of hand-coding detailed workflows. Rather than manually defining execution graphs, Hive’s coding agent generates the agent graph, connection code, and test cases based on your high-level objectives, enabling outcome-driven agent creation that fits real business processes. Once deployed, agents can...

MiroFlow is a high-performance open-source framework designed for building intelligent AI agents capable of solving complex reasoning and research tasks. The system introduces a hierarchical architecture that organizes components into control, agent, and foundation layers, allowing developers to manage agent orchestration and tool interactions in a structured manner. One of the core innovations of MiroFlow is its use of agent graphs, which enable flexible orchestration of multiple sub-agents...