diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -7,6 +7,7 @@
+
@@ -41,6 +42,7 @@
- [🔌 Integrations & Deployment](#-integrations--deployment)
- [⚙️ Key Configurations](#️-key-configurations)
- [🔁 Benchmark Evaluation](#-benchmark-evaluation)
+- [🗺️ Roadmap: modeling the rest of the brain](#️-roadmap-modeling-the-rest-of-the-brain)
- [📂 Project Structure](#-project-structure)
- [🔗 Citation](#-citation)
- [📜 License](#-license)
@@ -297,6 +299,16 @@ bash scripts/reproduce.sh all
Each run writes `benchmarks//output/benchmark_results.json`. Override the reader model via env: `MODEL=openai:gpt-4o bash scripts/reproduce.sh locomo`. The `--event-stream` flag is **automatically applied to LoCoMo** (it gates the inter-session consolidation pass central to the always-on memory thesis); all other benchmarks discharge consolidation through the shared `base_runner` post-ingestion hook.
+## 🗺️ Roadmap: modeling the rest of the brain
+
+CogniFold maps its mechanisms onto the human-memory taxonomy (Squire + Baddeley + CoALA) and reports an **honest coverage figure** — currently **~60%**. The live, machine-readable breakdown is `GET /api/v1/brain/coverage` and the interactive view is the [showcase site](https://opennorve.github.io/CogniFold/). True to the [North Star](docs/NORTH_STAR_METHODOLOGY.md), a mechanism only counts once it earns measurable payoff — we don't claim biological fidelity we haven't shipped.
+
+| Status | Memory system | In CogniFold |
+|:--:|---|---|
+| ✅ Covered | Working · Episodic · Semantic · Prospective (intent) | hierarchical context · `event`/`concept`/`intent` nodes |
+| 🟡 Partial | Temporal · Consolidation · Forgetting | `time` nodes · inter-session consolidation · recency decay + prune |
+| ⬜ Planned | Procedural · Priming · Conditioning · Affective tagging · Sensory | tracked on the coverage map; pulled in as tasks demand them |
+
## 📂 Project Structure
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