config file, install command, scrub personal references

Add ~/.config/poc-memory/config.toml for user_name, assistant_name,
data_dir, projects_dir, and core_nodes. All agent prompts and
transcript parsing now use configured names instead of hardcoded
personal references.

`poc-memory daemon install` writes the systemd user service and
installs the memory-search hook into Claude's settings.json.

Scrubbed hardcoded names from code and docs.

Authors: ProofOfConcept <poc@bcachefs.org> and Kent Overstreet

src/fact_mine.rs

@@ -5,6 +5,7 @@
 //
 // Uses Haiku (not Sonnet) for cost efficiency on high-volume extraction.
 
+use crate::config;
 use crate::llm;
 use crate::store::{self, Provenance};
 
@@ -19,7 +20,13 @@ const OVERLAP_TOKENS: usize = 200;
 const WINDOW_CHARS: usize = WINDOW_TOKENS * CHARS_PER_TOKEN;
 const OVERLAP_CHARS: usize = OVERLAP_TOKENS * CHARS_PER_TOKEN;
 
-const EXTRACTION_PROMPT: &str = r#"Extract atomic factual claims from this conversation excerpt.
+fn extraction_prompt() -> String {
+    let cfg = config::get();
+    format!(
+r#"Extract atomic factual claims from this conversation excerpt.
+
+Speakers are labeled [{user}] and [{assistant}] in the transcript.
+Use their proper names in claims — not "the user" or "the assistant."
 
 Each claim should be:
 - A single verifiable statement
@@ -29,7 +36,7 @@ Each claim should be:
   linux/kernel, memory/design, identity/personal)
 - Tagged with confidence: "stated" (explicitly said), "implied" (logically follows),
   or "speculative" (hypothesis, not confirmed)
-- Include which speaker said it (Kent, PoC/ProofOfConcept, or Unknown)
+- Include which speaker said it ("{user}", "{assistant}", or "Unknown")
 
 Do NOT extract:
 - Opinions or subjective assessments
@@ -37,20 +44,21 @@ Do NOT extract:
 - Things that are obviously common knowledge
 - Restatements of the same fact (pick the clearest version)
 - System messages, tool outputs, or error logs (extract what was LEARNED from them)
-- Anything about the conversation itself ("Kent and PoC discussed...")
+- Anything about the conversation itself ("{user} and {assistant} discussed...")
 
 Output as a JSON array. Each element:
-{
+{{
     "claim": "the exact factual statement",
     "domain": "category/subcategory",
     "confidence": "stated|implied|speculative",
-    "speaker": "Kent|PoC|Unknown"
-}
+    "speaker": "{user}|{assistant}|Unknown"
+}}
 
 If the excerpt contains no extractable facts, output an empty array: []
 
 --- CONVERSATION EXCERPT ---
-"#;
+"#, user = cfg.user_name, assistant = cfg.assistant_name)
+}
 
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub struct Fact {
@@ -74,6 +82,7 @@ struct Message {
 
 /// Extract user/assistant text messages from a JSONL transcript.
 fn extract_conversation(path: &Path) -> Vec<Message> {
+    let cfg = config::get();
     let Ok(content) = fs::read_to_string(path) else { return Vec::new() };
     let mut messages = Vec::new();
 
@@ -119,7 +128,11 @@ fn extract_conversation(path: &Path) -> Vec<Message> {
             continue;
         }
 
-        let role = if msg_type == "user" { "Kent" } else { "PoC" }.to_string();
+        let role = if msg_type == "user" {
+            cfg.user_name.clone()
+        } else {
+            cfg.assistant_name.clone()
+        };
         messages.push(Message { role, text, timestamp });
     }
 
@@ -229,11 +242,12 @@ pub fn mine_transcript(path: &Path, dry_run: bool) -> Result<Vec<Fact>, String>
         return Ok(Vec::new());
     }
 
+    let prompt_prefix = extraction_prompt();
     let mut all_facts = Vec::new();
     for (i, (_offset, chunk)) in chunks.iter().enumerate() {
         eprint!("  Chunk {}/{} ({} chars)...", i + 1, chunks.len(), chunk.len());
 
-        let prompt = format!("{}{}", EXTRACTION_PROMPT, chunk);
+        let prompt = format!("{}{}", prompt_prefix, chunk);
         let response = match llm::call_haiku(&prompt) {
             Ok(r) => r,
             Err(e) => {