OpenProver: Agentic and Interactive Theorem Proving with Lean 4

📰 ArXiv cs.AI

Learn how OpenProver integrates LLM-driven automated theorem proving with Lean 4 formal verification for agentic and interactive theorem proving

advanced Published 13 Jul 2026
Action Steps
  1. Build a Planner-Worker-Verifier architecture using OpenProver's inspiration from Aletheia
  2. Configure the Planner agent to maintain a compact Whiteboard scratchpad and an unbounded Repository
  3. Apply LLM-driven automated theorem proving with integrated Lean 4 formal verification using OpenProver
  4. Test the system's ability to decompose mathematical work into parallel Workers
  5. Compare the performance of OpenProver with other ATP systems
Who Needs to Know This

Researchers and developers in AI and formal verification can benefit from OpenProver's innovative architecture and integration of LLMs and Lean 4

Key Insight

💡 OpenProver's Planner-Worker-Verifier architecture enables efficient and interactive theorem proving with LLMs and Lean 4

Share This
🤖💡 OpenProver: LLM-driven automated theorem proving with Lean 4 formal verification

Key Takeaways

Learn how OpenProver integrates LLM-driven automated theorem proving with Lean 4 formal verification for agentic and interactive theorem proving

Full Article

Title: OpenProver: Agentic and Interactive Theorem Proving with Lean 4

Abstract:
arXiv:2607.09217v1 Announce Type: new Abstract: In this system paper, we present OpenProver, an open-source system for LLM-driven automated theorem proving (ATP) with integrated Lean 4 formal verification. OpenProver integrates a Planner-Worker-Verifier architecture inspired by recent ATP agentic systems such as Aletheia. A Planner agent maintains a compact Whiteboard scratchpad and an unbounded Repository of intermediate findings, and decomposes mathematical work into parallel Workers. OpenProv
Read full paper → ← Back to Reads

Related Videos

AI Agents Explained 🤖
AI Agents Explained 🤖
Learn With Shopify
CLI vs API vs MCP Explained | Key Differences for AI Engineers
CLI vs API vs MCP Explained | Key Differences for AI Engineers
Pavithra’s Podcast
Saner.ai Tutorial | Build Smarter Workflows with AI (Step-by-Step Guide)
Saner.ai Tutorial | Build Smarter Workflows with AI (Step-by-Step Guide)
Pavithra’s Podcast
Domain-Specific Chatbot Architecture with Security Gateway | Enterprise AI Design
Domain-Specific Chatbot Architecture with Security Gateway | Enterprise AI Design
Pavithra’s Podcast
Build a Code Review AI Agent with LangGraph | Review GitHub PRs Automatically
Build a Code Review AI Agent with LangGraph | Review GitHub PRs Automatically
Pavithra’s Podcast
CrewAI Crash Course for Beginners | Agents, Tasks, Tools & Crews Explained from Scratch
CrewAI Crash Course for Beginners | Agents, Tasks, Tools & Crews Explained from Scratch
Pavithra’s Podcast