Astraea

Astraea is a powerful framework for building complex, multi-hop reasoning systems. It allows for the creation of deterministic agent pipelines with significant cost and latency reductions. Key features: * Deterministic reasoning paths * Absolute data persistence * Centralized blackboard memory * Multi-agent orchestration * Semantic knowledge graph extraction Astraea tackles the common issues of context bloat and logical inconsistencies found in traditional information retrieval systems by partitioning state on a global blackboard. This approach ensures that agents only access necessary lightweight identifiers, leading to drastically reduced token costs and improved execution speeds. The system moves beyond probabilistic output by enabling the extraction of semantic knowledge graphs and constraining outputs to verified, truthful paths. Powered by EpochDB, Astraea guarantees data persistence and resolves conflicting information through State-Aware Supersession. This framework is ideal for development teams focused on building sophisticated agentic systems where cost-efficiency, speed, and logical consistency are paramount. It's particularly beneficial for applications requiring reliable, verifiable reasoning across multiple operational steps.