LangGraph
Low-level orchestration for long-running, stateful AI agents
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What this product helps you do
LangGraph gives developers fine-grained control over agent orchestration by combining deterministic application steps with model-driven steps in a graph. Its persistence model supports thread checkpoints and cross-thread stores, enabling resumable execution, memory, fault recovery, and human review.
Problems it solves
- Complex agents need explicit control over execution flow
- Long-running work must resume after interruptions or failures
- Agent state and memory need durable storage boundaries
- High-impact actions need human review before execution continues
LangGraph is a low-level orchestration framework and runtime for long-running, stateful agents. Developers can combine deterministic code with model-driven steps, stream intermediate work, pause for human input, and resume an execution from durable state.
Checkpointers preserve thread-scoped graph state for conversation continuity, time travel, human-in-the-loop workflows, and fault tolerance. Stores hold application-defined information across threads. LangGraph can be used independently or alongside other LangChain products and model or tool integrations.
Information
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LangGraph is a low-level orchestration framework and runtime for long-running, stateful agents. Developers can combine deterministic code with model-driven steps, stream intermediate work, pause for human input, and resume an execution from durable state.
Checkpointers preserve thread-scoped graph state for conversation continuity, time travel, human-in-the-loop workflows, and fault tolerance. Stores hold application-defined information across threads. LangGraph can be used independently or alongside other LangChain products and model or tool integrations.
What this product helps you do
LangGraph gives developers fine-grained control over agent orchestration by combining deterministic application steps with model-driven steps in a graph. Its persistence model supports thread checkpoints and cross-thread stores, enabling resumable execution, memory, fault recovery, and human review.
Problems it solves
- Complex agents need explicit control over execution flow
- Long-running work must resume after interruptions or failures
- Agent state and memory need durable storage boundaries
- High-impact actions need human review before execution continues
Information
You are leaving botconomy for the provider’s website. Link verified 9/21/2026.
Related AI products
Supercog
Supercog provides a hosted agent workspace and the open-source Agentic framework for building tool-using agents with APIs, event streams, teams, human review, RAG, dashboards, and production-oriented tools.
Nelima
Nelima is a conversational agent from Sellagen that can browse the web, process files, use persistent agentic storage, schedule work, and execute built-in or user-defined actions.
Lecca.io
Lecca.io is a no-code platform that empowers users to create and deploy AI agents and automate workflows without programming skills. It integrates seamlessly with popular applications such as Gmail, Google Sheets, HubSpot, and Slack, allowing for streamlined automation of tasks in sales, support, social media management, and development.