diff --git a/README.md b/README.md index c5f2952..5ed2f4f 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,7 @@ Paper CogEval-Bench Dataset
+CI MCP License Python @@ -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 ```