Follow the agent team
A LangGraph workflow coordinates ten roles. The application visualizes real execution events, agent inputs and outputs, revisions, and human review.
Meet ContentForge AI: a multi-agent workspace that connects research, writing, evidence review, and approval in one inspectable content pipeline.
Open project · No-key local demo available
Conceptual flow, not a running campaign or live agent status.
Explore these features in the repository or local application. This static page explains the project without connecting to a server.
A LangGraph workflow coordinates ten roles. The application visualizes real execution events, agent inputs and outputs, revisions, and human review.
Trace claims to stored passages, inspect evidence assessments, and review warnings. Evidence matching is a transparent heuristic, not independent fact certification.
Edit versioned drafts with formatting, review each version’s evidence, and export approved content as Markdown, JSON, or a ZIP package.
These descriptions explain the implementation. Opening a card does not start an agent or make an AI request.
Turns the brief and constraints into a bounded execution plan. The graph owns routing; model outputs cannot invoke arbitrary tools.
Reads stored source passages and identifies relevant findings, source references, and gaps. Autonomous web search is outside the current implementation.
Shapes the campaign’s angle, outline, audience, and tone from the brief and its constraints.
Creates the requested platform drafts using the strategy and available evidence, and responds to revision feedback.
Extracts claims and conservatively matches them to passages. Missing or conflicting evidence stays visible for review.
Refines complete drafts and records editorial notes while preserving version history.
Checks drafts against the brand profile and adjusts their voice and presentation.
Adapts drafts and metadata for the selected content platforms. It does not publish to social networks.
Uses an explainable rubric and bounded revision routing. A high score does not remove factual warnings.
Packages the exact versions approved by a person, with evidence references and checksums. Calendar entries are reminders, not automatic publication.
Install Git and Docker with Linux containers, then use these commands. Open http://localhost:7860 and choose Explore the live demo.
The demo runs real orchestration with labeled sample outputs. Live AI and email are disabled. This temporary container loses its saved data when removed—download your work first.
Read the full setup guidegit clone https://github.com/nikhiljadhav6869-sudo/ContentForge-AI.git
cd ContentForge-AI
docker build -t contentforge-demo .
docker run --rm -p 127.0.0.1:7860:7860 contentforge-demo