Who should use GraphARC?

GraphARC is an open-source project built for developers.

Yes — GraphARC is open source under the MIT license and free to use.

What platforms does GraphARC run on?

GraphARC runs on the command line and API.

Is GraphARC still maintained?

The GitHub repository shows 22 commits in the last 90 days.

What projects are similar to GraphARC?

Similar projects tracked by PulseGate include Cliprise, chi-ai, and Ask AIs Anything.

GraphARC is developed by CodeGraphContext.

When did GraphARC launch?

GraphARC first shipped in 2026.

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GraphARC

Name: GraphARC
Author: CodeGraphContext

PyPIInfrastructure

GraphARC is a Python toolkit built on LangGraph that adds engineering rigor to agent and multi-agent graph development. It provides typed state contracts, per-node write permissions, enforced compute budgets, and JSONL traces that serve as both observability logs and replay points for debugging. Targeted at AI engineers building complex LLM-based agents and workflows, it improves reliability, safety, and debuggability of autonomous systems.

Open SourceMITCLIAPI

Visit PyPI

Overview

5 features

GraphARC is an AI & ML project. It focuses on building reliable, observable, and controllable multi-agent workflows on top of LangGraph. GraphARC is an open-source project aimed at developers. GraphARC is open source under the MIT license. GraphARC is available on the command line and API.

Behind GraphARC is CodeGraphContext, and it first shipped in 2026. The project is developed in the open on GitHub with 22 commits in the last 90 days. Among its 5 catalogued features are Typed State Contracts, Per-node Permissions, and Enforced Budgets.

Summary written by a language model from the project’s public pages.

Typed State Contracts
Per-node Permissions
Enforced Budgets
JSONL Traces
Replay Points

Built with & integrations

Framework

FastAPI

AI providers

anthropicopenailocal_ossmultiple

Runs on

CLIAPI-only

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source GitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed29 Jul · 18:10 UTC
grapharc verified against its public source
Source: PulseGate · Open

Frequently asked questions about GraphARC

What does GraphARC do?: GraphARC focuses on building reliable, observable, and controllable multi-agent workflows on top of LangGraph. It is catalogued under AI & ML on PulseGate.
Who should use GraphARC?: GraphARC is an open-source project built for developers.
Is GraphARC free?: Yes — GraphARC is open source under the MIT license and free to use.
What platforms does GraphARC run on?: GraphARC runs on the command line and API.
Is GraphARC still maintained?: The GitHub repository shows 22 commits in the last 90 days.
What projects are similar to GraphARC?: Similar projects tracked by PulseGate include Cliprise, chi-ai, and Ask AIs Anything.Cliprise chi-ai Ask AIs Anything
Who makes GraphARC?: GraphARC is developed by CodeGraphContext.
When did GraphARC launch?: GraphARC first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 29 Jul 2026
Built for: developers
Model: Open source
Solves: Building reliable, observable, and controllable multi-agent workflows on top of LangGraph.

Registered as

GitHub: CodeGraphContext/GraphARC
PyPI: grapharc

Developer

CodeGraphContext

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 29 Jul 2026
Commits 90d: 22
Contributors: 1
Authorship: Solo
Default branch: main

Live coverage

Identity confidence: Low · 64
Indexed: 29 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 29 Jul 2026

Identity audit (13)

Slug: grapharc-pypi-org
Lifecycle state recorded: 29 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 29 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 3 Aug 2026
Canonical URL: https://pypi.org/project/grapharc

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