zeph

Rust AI agent where every context token earns its place. Self-learning skills, temporal graph memory, cascade quality routing, OWASP AI security. Hybrid inference: Ollama · Claude · Gemini · OpenAI · GGUF. MCP + ACP. One binary.

A Rust AI agent that learns from every session and remembers the reasoning behind every decision.

Why Zeph

• Gets smarter with every task — Wilson score Bayesian confidence tracks which skills actually work in practice. Underperforming skills lose priority; successful ones surface first. When repeated failures cluster around a skill, the agent generates an improved version autonomously — no configuration required.
• Remembers why, not just what — Five-typed graph memory (Causal, Temporal, Semantic, CoOccurrence, Hierarchical) with SYNAPSE spreading activation. "Why did we choose PostgreSQL?" traverses causal edges through the decision graph — not keyword search through chat logs.
• Preserves working memory mid-task — HiAgent subgoal-aware compaction identifies the current task goal before evicting context. Unlike FIFO trimming, information relevant to the active subgoal is never dropped mid-execution.
• Routes smarter, spends less — declare providers once, route by complexity tier (Simple/Medium/Complex/Expert). Thompson Sa