tech-article-writer


Real-world applications built with LangGraphGo:

| [Insight](https://insight.rpcx.io) | [NoteX](https://notex.rpcx.io) |

| :--------------------------------: | :----------------------------: |

|  |  |

Insight - An AI-powered knowledge management and insight generation platform that uses LangGraphGo to build intelligent analysis workflows, helping users extract key insights from massive amounts of information.

NoteX - An intelligent note-taking and knowledge organization tool that leverages AI for automatic categorization, tag extraction, and content association, making knowledge management more efficient.

```bash

go get github.com/smallnest/langgraphgo

```

Note: This repository uses Git submodules for the showcases directory. When cloning, use one of the following methods:

```bash

# Method 1: Clone with submodules

git clone --recurse-submodules https://github.com/smallnest/langgraphgo

# Method 2: Clone first, then initialize submodules

git clone https://github.com/smallnest/langgraphgo

cd langgraphgo

git submodule update --init --recursive

```

• Core Runtime:

- Parallel Execution: Concurrent node execution (fan-out) with thread-safe state merging.

- Runtime Configuration: Propagate callbacks, tags, and metadata via RunnableConfig.

- Generic Types: Type-safe state management with generic StateGraph implementations.

- LangChain Compatible: Works seamlessly with langchaingo.

• Persistence & Reliability:

- Checkpointers: Redis, Postgres, SQLite, and File implementations for durable state.

- File Checkpointing: Lightweight file-based checkpointing without external dependencies.

- State Recovery: Pause and resume execution from checkpoints.

• Advanced Capabilities:

- State Schema: Granular state updates with custom reducers (e.g., AppendReducer).

- Smart Messages: Intelligent message merging with ID-based upserts (AddMessages).

- Command API: Dynamic control flow and state updates directly from nodes.

- Ephemeral Channels: Temporary state values that clear automatically after each step.

- Subgraphs: Compose complex agents by nesting graphs within graphs.

- Enhanced Streaming: Real-time event streaming with multiple modes (updates, values, messages).

- Pre-built Agents: Ready-to-use ReAct, CreateAgent, and Supervisor agent factories.

- **Programmatic Tool Calling (P