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+# Design proposal: searchable, recency-aware conversation memory
+
+Status: **proposal — for Tim + Will, no code yet**
+Author: Neuron (Claude Opus 4.8), 2026-06-21
+Trigger: "Summarize the key themes across my recent conversations" returns nothing useful.
+
+---
+
+## TL;DR
+
+Conversations **are** being persisted — `auto_persist` writes every turn as a
+timestamped `Conversation`/`Episodic` node. The failure is **retrieval**, not
+storage. Two gaps:
+
+1. **No recency-ordered retrieval.** There is no way to ask "give me my last N
+   conversation turns by time." Search is keyword-ranked only.
+2. **Lexical-only search.** `search_memory` → `engram_search_json` is BM25/lexical.
+   A semantic/thematic query ("themes across recent conversations") doesn't share
+   keywords with the actual topic content, so it misses.
+
+The model literally tried to express the missing capability in the fake tool call
+it hallucinated: `"recency_weight": 0.8`, `"sort_by": "recency"`,
+`node_type: "ConversationTurn"`. It wanted a recency-windowed conversation fetch
+that doesn't exist.
+
+## What exists today (verified)
+
+- `auto_persist(req, resp)` (chat.el): after each non-agentic turn, stores
+  `{"q","a","created_at","source":"chat","label":"chat:<ts>"}` as
+  `engram_node_full(... "Conversation" ... "Episodic" ...)`, tags
+  `["Conversation","chat","timestamped"]`.
+- `conv_history_persist` (chat.el): a **single overwriting** `conv:history`
+  Episodic node holding the rolling JSON history (continuity across restarts) —
+  not per-turn, not individually searchable.
+- Live engram (founder instance): **5,113 nodes, 59 conversation nodes** — a mix
+  of `chat:<ts>`, several `conv:history` copies, and older `Q:/A:` nodes.
+- Retrieval surface for the agentic loop: `search_memory`, `recall`,
+  `neuron_search_knowledge`, `neuron_recall` — all **query-keyword** based.
+  None is "most recent N by time," none is embedding/semantic.
+
+## The gap, precisely
+
+| User intent | Needs | Have today |
+|---|---|---|
+| "summarize my recent conversations" | last-N-by-time fetch | ✗ (keyword only) |
+| "what did we discuss about X" | semantic match on topic | ~ (lexical only; misses paraphrase) |
+| "themes across everything" | semantic cluster over corpus | ✗ |
+
+`auto_persist` only fires on the **non-agentic** path (`handle_chat`). Worth
+confirming the **agentic** path (`handle_chat_agentic`) persists turns too — if
+not, agentic conversations never get stored, a second (smaller) gap.
+
+## Proposal
+
+Three layers, smallest-first. (1) alone fixes the headline use case.
+
+### 1. Recency-windowed conversation retrieval (the high-value, low-cost win)
+A runtime/engram primitive + an agentic tool:
+
+- **Engram**: `engram_recent_by_type(node_type, limit, since_ts?)` → newest-first
+  by `created_at`. (Conversation nodes already carry `created_at`.)
+- **Agentic tool**: `recent_conversations(limit=20, since?)` →
+  `[{q,a,created_at}, …]`, newest first. Exposed in `agentic_tools_all`.
+- **System-prompt hint**: for "recent / lately / this week / summarize our
+  conversations," prefer `recent_conversations` over `search_memory`.
+
+This directly answers "summarize my recent conversations" — fetch last N, hand
+the model the actual turns, let it cluster themes. No embeddings required.
+
+### 2. Stable per-session threading
+Today each turn is an independent `chat:<ts>` node; there's no session grouping.
+Add `session_id` + a monotonic turn index to the persisted content (the UI already
+sends `session_id`). Enables "summarize *this* conversation" and per-session recall,
+and lets retrieval return coherent threads instead of loose turns.
+
+### 3. Semantic retrieval (the real fix for thematic queries)
+Lexical BM25 can't do "themes." Options, in order of effort:
+- **a.** Embeddings on Conversation nodes + a vector search tool
+  (`semantic_search`). Biggest lift; also fixes knowledge recall broadly.
+- **b.** Interim: a two-pass "map-reduce" — `recent_conversations` to pull the
+  window, then let the model cluster. Cheap, ships with (1), no infra.
+
+Recommend **(1) + (2) now, (3b) as the interim thematic answer, (3a) as the
+roadmap item** once embeddings land (this dovetails with the GraphRAG/embedding
+work already noted in memory: substring 1.7% P@5 vs BM25 55% vs graph 21.7%).
+
+## Open questions for Will
+1. ~~Does the agentic path persist turns?~~ **Resolved: yes** — the dispatcher
+   calls `auto_persist` after both the agentic and non-agentic branches
+   (`routes.el` lines 156/298). Both paths store per-turn nodes.
+2. `conv:history` is accumulating duplicate overwriting nodes (saw several in the
+   live engram) — intended, or should it truly overwrite/dedupe?
+3. Is there appetite for the `engram_recent_by_type` primitive in the runtime, or
+   should recency be done in `.el` by scanning + sorting (fine at 59 nodes, weak
+   at scale)?
+4. Embeddings (3a): on the roadmap timeline, or defer and ship (1)+(2)+(3b)?
+
+## Not in scope
+Persistence itself (it works), and the separate **confabulation** fix (model
+faking tool calls in Just-chat mode) — that's `neuron` PR #29.