repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · yesterday
bug-ops/zeph
A memory-first AI agent that remembers why decisions were made — not just the last message. Runs local (Ollama), cloud (Claude · OpenAI · Gemini), or decentralized TEE. Graph memory, self-learning skills, multi-model routing, sandboxed tools. MCP · ACP · A2A. One Rust binary.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 48%SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests →
- PossiblePossibly related (embedding) · 46%Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use →
- PossiblePossibly related (embedding) · 46%OpenAI to acquire Ona →
- PossiblePossibly related (embedding) · 46%OpenAI reveals its first AI processor: Jalapeño →
- PossiblePossibly related (embedding) · 45%Self-rewarding agents that retrace failures →
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Related across the graph
paperSelf-rewarding agents that retrace failurespaperSWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction TestsnewsOpenAI reveals its first AI processor: JalapeñopaperCan Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool UsenewsOpenAI to acquire Ona