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A CLI- and canvas-first builder for AI agents on LangGraph.
A CLI- and canvas-first builder for AI agents on LangGraph.
Define an agent as a declarative YAML schema; Agentic Graph Composer compiles it into a real LangGraph
StateGraph - not a reimplementation of LangGraph, a thin, typed layer on top of it.
pip install agentic-graph-composer
This installs the agc command.
mkdir my-agent && cd my-agent
agc init # scaffolds a working schema.yaml + starter files
cp .env.example .env # then fill in your provider's API key
agc validate schema.yaml
agc run schema.yaml "What does this project do?"
agc doctor schema.yaml checks your environment (API keys, optional extras, checkpointer
config) against what a schema actually needs, before you hit a failure mid-run.
A visual editor for the graph a schema compiles to ships bundled in - no separate install, no Node.js needed:
agc canvas schema.yaml
This prints a URL - open it in a browser to see and edit the graph, backed by the same schema/compiler library the CLI uses. See canvas/README.md for the view-only mode and running the canvas from source.
schema_version: 1
nodes:
- id: assistant
llm:
provider: anthropic
model: claude-sonnet-5
system: "You are a helpful assistant."
tools:
- tools:search_docs
A schema with exactly one node and no edges section is implicitly wired START -> node -> END.
Multi-node graphs add explicit edges (direct or conditional), a handler node for custom-code
logic outside the schema, and an opt-in checkpointer block for resumable runs.
See docs/GETTING_STARTED.md for the full setup guide - extras, provider
API keys, Postgres checkpointing, observability.
See docs/README.md for the complete design-doc suite.
pip install "agentic-graph-composer[examples]" # langchain-anthropic, langchain-openai - to run examples/
pip install "agentic-graph-composer[postgres]" # Postgres-backed checkpointing
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.0 | 15 Jul 2026 | 18 |
This describes our collected data; it is not a security assessment.
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Observed since 20 Oct, 22:16 UTC
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package:154f1663b09900c35be65ce710be46c5ad69a4c450b774d387e3cf167a3f329d