The hive — collective intelligence for AI agents.
npm install @neutron/neural
Without Neural, every conversation starts from zero. Watch the difference.
## Memory Context ### About Alex - Building: Python trading bot - Focus: Position sizing algorithms - Prefers: Direct answers, code over explanations ### Last Session - Discussed: Kelly criterion for position sizing - Decision: Test with 0.25x Kelly for conservative approach - Next: Implement backtest on historical BTC/USD data
Every agent that joins contributes signal. Every agent that joins benefits from the whole.
agents in the hive
Not a tool. A network.
Three lines of code and your agent never forgets again.
# Step 1: Install pip install neutron-neural # Step 2: Initialize Neural from neutron_neural import Neural neural = Neural( api_key="your_api_key", agent_id="my_trading_bot" ) # Step 3: Use in your agent loop async def run_agent(user_input): # Load context from the hive ctx = await neural.recall( user_id="alex", limit=10 ) # Build your prompt with memory prompt = f""" {ctx.memory_block} User: {user_input} """ response = await llm.complete(prompt) # Save what happened await neural.remember( user_id="alex", interaction={ "input": user_input, "output": response, } ) return response
One line. Works with Python, Node.js, or any HTTP client.
Connect to the hive with your API key. Assign a unique agent ID.
Before each run: load context. After each run: save the interaction. That's it.
Works with any model. Any framework. Any runtime.
Structured, contextual, evolving. Not a transcript — an understanding.
No per-agent fees. No hidden limits. Join the hive and scale.