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zeph
bug-ops February 5, 2026
27 copies 0 downloads
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.
Agent Definition
<div align="center"> <img src="book/src/assets/zeph_v8_github.png" alt="Zeph" width="800"> **A Rust AI agent that learns from every session and remembers the reasoning behind every decision.** [](https://crates.io/crates/zeph) [](https://bug-ops.github.io/zeph/) [](https://github.com/bug-ops/zeph/actions) [](https://github.com/bug-ops/zeph/actions) [](https://codecov.io/gh/bug-ops/zeph) [](https://github.com/bug-ops/zeph/tree/main/crates) [](https://www.rust-lang.org) [](LICENSE) </div> --- ## 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
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