A ReAct engine that reasons, plans, executes, and iterates up to 50 times until the goal is achieved. Powered by 100+ LLMs from every major provider.
Parse intent, recall learnings from past mistakes, identify required tools
Create minimal task list with dependencies, estimate complexity
Run tools directly or spawn workers for parallel tasks
Check results, detect errors, learn from failures
Is the deliverable complete? If not, iterate again.
Agents reason about each step before acting. The loop — UNDERSTAND, PLAN, EXECUTE, VERIFY, CHECK GOAL — ensures every action is deliberate and verified.
Agents don't stop after one tool call. They iterate up to 50 times, self-correcting on failures, until the deliverable is verifiably complete.
Define the outcome, not the steps. The agent decomposes your goal into tasks, handles dependencies, and parallelizes where possible.
Complex jobs automatically spawn dedicated sub-agents that run in the background. The main agent stays responsive while workers handle parallel tasks.
Every failure is recorded with trigger patterns and corrections. At 80%+ confidence after 5 successes, learnings become permanent rules. Agents get smarter over time.
Every operation is hash-linked in a blockchain-style execution chain. Full traceability and verification of every decision your agent made.
Install Neura Runtime to run AI models, execute code in Docker sandboxes, and build Streamlit apps — all locally. Completely free, completely private.
Run models, execute Python in Docker sandboxes, build Streamlit apps — all on your hardware.
Your data never leaves your device. No cloud, no logging. Run fully offline.
Desktop app or pip install. Auto-connects to your browser.
Or: pip install neura-runtime
Start building with the most capable agent runtime available.