877 callable tools (849 dispatch + 28 Gana meta-tools). 8,268 passing tests, 56 skipped, 0 failures. 89,500+ memories across 14 galaxies. Every research finding is pressure-tested inside the WhiteMagic codebase before it's written about.
877
Callable Tools
8,268
Tests Passing
89,500+
Memories
14
Galaxies
Holographic Memory
Shipped
6D coordinate system (emotional, temporal, associative, importance, novelty) for memory storage. 14-galaxy taxonomy with galactic lifecycle — nothing deleted, only rotated outward. FTS5 + HNSW hybrid search.
Runtime audit benchmark evaluating declared-vs-actual side effects in agent tool use. Measures whether an agent's description of its actions matches reality — a prerequisite for any oversight mechanism.
27 research directions mined from 174 text files across the CODEX vault — from neurophotonic data centers and interstellar highways to MandalaOS architecture, plasmoid physics, and Jungian AI alignment. Each has a timestamped origin. Some have already been validated by reality.
Karma Ledger: A Runtime Audit Substrate for Declared-vs-Actual Side Effects in Agent Tool Use
Lucas Bailey · arXiv cs.AI · 2026
We introduce Karma Ledger, a runtime substrate for measuring declaration-actual fidelity in multi-agent tool use. For each tool call, the benchmark compares the agent's declared state diff against the empirical state diff, with fidelity scored as 1 - normalized edit distance.
Research principles
1.Reproducibility first — Every benchmark includes a Docker environment, pinned dependencies, and a run script.
2.Negative results published — If a hypothesis fails, we publish the failure and why.
3.Open data, open code — MIT license for code; CC-BY for data. No paywalls.
4.Shipped, not speculated — Research findings are implemented in the codebase before being written about.
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