Merge pull request #15 from bryanadenhq/feat/update-to-readme

updated readme

README.md

@@ -1,6 +1,6 @@
 # Hive
 
-Hive is an easy way to craete reliable agenst with expanding toolkits. 
+Hive is the easiest way to create reliable agents that self-adapt.
 
 <p align="center">
   <img width="100%" alt="Hive Banner" src="https://storage.googleapis.com/aden-prod-assets/website/aden-title-card.png" />
@@ -15,7 +15,7 @@ Hive is an easy way to craete reliable agenst with expanding toolkits.
 
 ## Overview
 
-Hive provides advanced runtime control for your AI agents, enabling you to observe, intervene, and dynamically adjust agent behavior as it executes. By giving you real-time visibility and control, Hive helps you build more reliable AI systems—catching and correcting issues during execution rather than reacting after failures occur.
+Build reliable, self-improving AI agents without hardcoding workflows. Define your goal through conversation with a coding agent, and the framework generates a node graph with dynamically created connection code. When things break, the framework captures failure data, evolves the agent through the coding agent, and redeploys. Built-in human-in-the-loop nodes, credential management, and real-time monitoring give you control without sacrificing adaptability.
 
 Visit [adenhq.com](https://adenhq.com) for complete documentation, examples, and guides.
 
@@ -57,12 +57,14 @@ docker compose up
 
 ## Features
 
-- **Observe** - Real-time visibility into agent execution, decisions, and performance
+- **Goal-Driven Development** - Define objectives in natural language; the coding agent generates the agent graph and connection code to achieve them
-- **Metrics & Analytics** - Track costs, latency, and token usage with TimescaleDB
+- **Self-Adapting Agents** - Framework captures failures, updates objectives and updates the agent graph
-- **Cost Control** - Set budgets and policies to manage LLM spending
+- **Dynamic Node Connections** - No predefined edges; connection code is generated by any capable LLM based on your goals
-- **Real-time Events** - WebSocket streaming for live agent monitoring
+- **SDK-Wrapped Nodes** - Every node gets shared memory, local RLM memory, monitoring, tools, and LLM access out of the box
-- **Self-Hostable** - Deploy on your own infrastructure with full control
+- **Human-in-the-Loop** - Intervention nodes that pause execution for human input with configurable timeouts and escalation
-- **Production-Ready** - Built for scale and reliability
+- **Real-time Observability** - WebSocket streaming for live monitoring of agent execution, decisions, and node-to-node communication
+- **Cost & Budget Control** - Set spending limits, throttles, and automatic model degradation policies
+- **Production-Ready** - Self-hostable, built for scale and reliability
 
 ## Project Structure