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Commits on May 31, 2026

• feat(harness): add governed eval and proposal flows

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• feat: add default-off harness event seam

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Commits on May 26, 2026

• feat(recall): make default output LLM-friendly

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Commits on May 20, 2026

• refactor(harness): reshape lifecycle control layout

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Commits on May 16, 2026

• feat(entity): add configurable entity extraction mode

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Commits on May 15, 2026

• feat: add eval loop harness module

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• feat: add deep Codex skill loop evals

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• feat: expand Codex memory loop evals

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Commits on May 14, 2026

• Expand Codex eval loop scenarios

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• Add Codex app-server harness eval

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• Refactor harness deployment layers

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Commits on Feb 21, 2026

• Add named memory stores for data isolation

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• Switch all generated diagrams from PNG to JPG for consistency

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• Add knowledge graph visualization to README

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• Remove dead code: internal/config, cmd/prime, cmd/diff

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• Remove stale hook/skill source copies; assets/claude is sole source of truth

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• Replace Go-composed guidance with file-based prompt system

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Commits on Feb 20, 2026

• Add hook-based setup with prime command and configurable hooks

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Commits on Feb 19, 2026

• Integrate diff into remember, default smart recall, judgment-based SKILL.md

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Commits on Feb 18, 2026

• Add claude-inject/eject for portable CLAUDE.md memory guidance

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• Restructure integration into three layers: hook (auto-recall), CLAUDE.md (behavior), skill (commands)

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• Add three-layer memory enforcement: skill protocol, CLAUDE.md nudge, and hooks

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• Rewrite docs and README for open-source release with standard skill integration

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Commits on Feb 17, 2026

• Add multi-factor reranking and signals metadata to smart recall pipeline

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• Replace causal candidate linear scan with 2-hop BFS neighborhood traversal

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• Redesign memory lifecycle with effective_importance decay and auto-prune

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• Replace enrich command with --entities flag for LLM-in-the-loop entity extraction

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• Remove narrative graph and context_neighbor to align with MAGMA 4-graph structure

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• Implement Phase 3: Claude-in-the-loop MAGMA alignment

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• Align beam search params and semantic edges with MAGMA paper

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• Align retrieval and graph primitives with MAGMA paper

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• Add optional Ollama embedding support with hybrid vector+keyword search

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• Implement Phase 2: semantic edges and retention lifecycle

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• Add Makefile with skill/hook injection and strengthen memory instructions

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• Implement mnemon CLI with MAGMA-inspired graph memory architecture

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