docs(wiki): note retrospection learnings diffuse across the grid (agent namespace) Co-Authored-By: Blumi <ankur.nairit@gmail.com>

docs(wiki): document retrospection (daily transcript replay → memory) Memory & Knowledge: a Retrospection bullet + the conflict-resolution update under "Learning from outcomes"; Configuration: memory.retrospect + retrospect_hours. Co-Authored-By: Blumi <ankur.nairit@gmail.com>

docs(wiki): code graph is 5 languages + CLI graph subcommands + TUI/blugo/gateway surfaces Memory & Knowledge: languages now Rust/Python/Go/JS/TS (was "Currently Rust"), the new `blumi knowledge impact|callers|implementers` subcommands, and a note that the same queries are reachable from the TUI hot-spots, the gateway /api/knowledge/graph endpoint, and the blugo Code-tab Impact sheet. Co-Authored-By: Blumi <ankur.nairit@gmail.com>

docs(wiki): document the structural code graph, code_graph tool, RPL fan-in + rollover - Memory & Knowledge: a "Structural code graph (opt-in)" section (graph.mode + the code-graph feature + typed edges) and the code_graph agent tool (callers/callees/impact/implementers). - Configuration: knowledge.graph { mode, resolve_imports, max_edges_per_symbol, rpl_impact } and llm.wake_on_rollover. - RPL-Judgement: a note that file fan-in folds into the blast radius. Co-Authored-By: Blumi <ankur.nairit@gmail.com>

docs(wiki): GEO/AEO pass across all pages — answer-first intros, FAQs, question headings Optimize every wiki page for AI answer engines (GEO/AEO) and classic SEO, additively — all facts, commands, config keys, defaults, and links preserved: - Answer-first, self-contained intros so each page stands alone if an AI surfaces it with no other context (each restates what blumi is in one clause). - TL;DR / "Key facts" blocks of atomic, extractable facts near the top. - Question-style headings ("What is X?", "How do I Y?") matching natural queries. - A FAQ (Q&A) section on each substantive page — the most AI-citable format. - Consistent entity naming + acronyms expanded on first use (RAG, SEDM, RPL, BYOK, mDNS, FCM, STT/TTS, ...). - Fixed stale version (0.3.0 -> 0.5.0) on Home. Co-Authored-By: Blumi <ankur.nairit@gmail.com>

docs(wiki): dedicated RPL-Judgement deep-dive page (the science of the judgement) New SEO-friendly page documenting Raskolnikov's Psychological Loop in depth, grounded in the actual code: the blast-radius risk model (severity weights), the adversarial Porfiry LLM-as-a-judge + fail-open parsing, the five phases, the Error-Delta regret signal feeding memory fitness, the Dostoevsky mapping (inspired by Crime and Punishment), config reference, an FAQ, and an honest "implementation status & roadmap" (live MVP vs the reserved multi-branch ToT / worktree-sandbox knobs). Wired into the sidebar, Home nav, and cross-linked from Self-Management + Memory & Knowledge. Co-Authored-By: Blumi <ankur.nairit@gmail.com>

docs(wiki): v0.5.0 — memory learning-from-outcomes + RPL-Judgement Memory & Knowledge: new "Learning from outcomes" section (probationary failure→fix, value-based fitness + eviction, structure-aware/hub-suppressed recall, off-gateway curation, conflict + consensus-diffusion groundwork); heal.verify default flipped to true in the config example. Self-Management: new "RPL-Judgement" section (the five-phase Raskolnikov loop + config); updated self-healing to reflect probationary, verify-on-by-default learning. Co-Authored-By: Blumi <ankur.nairit@gmail.com>

Document cost-aware routing, always-on discovery, white-box memory - Configuration: add `router` + `always_on` to the config reference (cross-refs). - CLI-Usage: new TUI commands /route + /discoveries. - Self-Management: full "Cost-aware routing" + "Always-on discovery" sections (config blocks, safety, how to drive them). - Memory-and-Knowledge: a "White-box memory (view/pin/edit/delete)" subsection + the /api/memory/* endpoints. Co-Authored-By: Blumi <ankur.nairit@gmail.com>

Document GPU acceleration, self-healing & evolution, new TUI commands Refresh the help/wiki for the [Unreleased] features: - CLI-Usage: new slash commands /open-workspace, /heal, /accel (+ /grid and /autocontinue) and a `blumi accel` management row. - Memory-and-Knowledge: a GPU acceleration section (Apple CoreML default, CUDA opt-in, local-server/Ollama path, grid-embed offload) + acceleration/heal config; update embeddings.backend="grid" to the real strongest-peer transport. - Self-Management: a Self-healing & evolution section (reflex recovery, failure to fix learning, evolution autonomy, cross-step verify, /heal surfacing). - Grid: a GPU-aware embedding offload section (POST /api/grid/embed). - Installation: GPU/embeddings build options (BLUMI_CUDA, gpu-cuda, lean default). - Troubleshooting: GPU/accelerator + self-healing entries. - Configuration: acceleration/heal/embeddings/memory/knowledge cross-refs. Co-Authored-By: Blumi <ankur.nairit@gmail.com>

Add Memory & Knowledge page (semantic memory, SEDM diffusion, code KB) Co-Authored-By: Blumi <ankur.nairit@gmail.com>