diff --git a/poc-memory/agents/organize.agent b/poc-memory/agents/organize.agent
index dbbb7e0..9377c2c 100644
--- a/poc-memory/agents/organize.agent
+++ b/poc-memory/agents/organize.agent
@@ -1,4 +1,4 @@
-{"agent":"organize","query":"all | key:*identity* | sort:degree | limit:1","model":"sonnet","schedule":"weekly","tools":["Bash(poc-memory:*)"]}
+{"agent":"organize","query":"all | not-visited:organize,0 | sort:degree | limit:5","model":"sonnet","schedule":"weekly","tools":["Bash(poc-memory:*)"]}
 
 # Memory Organization Agent
 
diff --git a/poc-memory/src/agents/daemon.rs b/poc-memory/src/agents/daemon.rs
index f2da04a..ca309a2 100644
--- a/poc-memory/src/agents/daemon.rs
+++ b/poc-memory/src/agents/daemon.rs
@@ -125,11 +125,17 @@ fn job_consolidation_agent(
 ) -> Result<(), TaskError> {
     let agent = agent_type.to_string();
     let batch = batch_size;
-    run_job(ctx, &format!("c-{}", agent), || {
+    let job_name = format!("c-{}", agent);
+    let job_name2 = job_name.clone();
+    run_job(ctx, &job_name, || {
         ctx.log_line("loading store");
         let mut store = crate::store::Store::load()?;
         ctx.log_line(&format!("running agent: {} (batch={})", agent, batch));
-        let (total, applied) = super::knowledge::run_and_apply(&mut store, &agent, batch, "consolidate")?;
+        let log = |msg: &str| {
+            ctx.log_line(msg);
+            log_event(&job_name2, "progress", msg);
+        };
+        let (total, applied) = super::knowledge::run_and_apply_with_log(&mut store, &agent, batch, "consolidate", &log)?;
         ctx.log_line(&format!("done: {} actions ({} applied)", total, applied));
         Ok(())
     })
@@ -147,7 +153,8 @@ fn job_rename_agent(
         let batch = if batch_size == 0 { 10 } else { batch_size };
         ctx.log_line(&format!("running rename agent (batch={})", batch));
 
-        let result = super::knowledge::run_one_agent(&mut store, "rename", batch, "consolidate")?;
+        let log = |msg: &str| ctx.log_line(msg);
+        let result = super::knowledge::run_one_agent(&mut store, "rename", batch, "consolidate", &log)?;
 
         // Parse RENAME actions from response (rename uses its own format, not WRITE_NODE/LINK/REFINE)
         let mut applied = 0;
diff --git a/poc-memory/src/agents/defs.rs b/poc-memory/src/agents/defs.rs
index d6db80d..0185601 100644
--- a/poc-memory/src/agents/defs.rs
+++ b/poc-memory/src/agents/defs.rs
@@ -184,6 +184,11 @@ fn resolve(
             }
             cluster.sort_by(|a, b| a.0.cmp(&b.0));
 
+            // Cap cluster size — agent has tools to explore more if needed
+            if cluster.len() > 20 {
+                cluster.truncate(20);
+            }
+
             // Similarity pairs
             let pairs = crate::similarity::pairwise_similar(&cluster, 0.4);
 
diff --git a/poc-memory/src/agents/knowledge.rs b/poc-memory/src/agents/knowledge.rs
index 66aeb4b..cbefe2b 100644
--- a/poc-memory/src/agents/knowledge.rs
+++ b/poc-memory/src/agents/knowledge.rs
@@ -579,13 +579,33 @@ pub fn run_and_apply(
     batch_size: usize,
     llm_tag: &str,
 ) -> Result<(usize, usize), String> {
-    let result = run_one_agent(store, agent_name, batch_size, llm_tag)?;
+    run_and_apply_with_log(store, agent_name, batch_size, llm_tag, &|_| {})
+}
+
+pub fn run_and_apply_with_log(
+    store: &mut Store,
+    agent_name: &str,
+    batch_size: usize,
+    llm_tag: &str,
+    log: &dyn Fn(&str),
+) -> Result<(usize, usize), String> {
+    let result = run_one_agent(store, agent_name, batch_size, llm_tag, log)?;
     let actions = resolve_action_names(store, result.actions);
     let ts = store::compact_timestamp();
     let mut applied = 0;
     for action in &actions {
+        let desc = match &action.kind {
+            ActionKind::WriteNode { key, .. } => format!("WRITE {}", key),
+            ActionKind::Refine { key, .. } => format!("REFINE {}", key),
+            ActionKind::Link { source, target } => format!("LINK {} → {}", source, target),
+            ActionKind::Demote { key } => format!("DEMOTE {}", key),
+            ActionKind::Delete { key } => format!("DELETE {}", key),
+        };
         if apply_action(store, action, agent_name, &ts, 0) {
+            log(&format!("applied: {}", desc));
             applied += 1;
+        } else {
+            log(&format!("skipped: {}", desc));
         }
     }
     Ok((actions.len(), applied))
@@ -600,13 +620,29 @@ pub fn run_one_agent(
     agent_name: &str,
     batch_size: usize,
     llm_tag: &str,
+    log: &dyn Fn(&str),
 ) -> Result<AgentResult, String> {
     let def = super::defs::get_def(agent_name)
         .ok_or_else(|| format!("no .agent file for {}", agent_name))?;
+
+    log("building prompt");
     let agent_batch = super::defs::run_agent(store, &def, batch_size)?;
 
+    let prompt_kb = agent_batch.prompt.len() / 1024;
+    let tools_desc = if def.tools.is_empty() { "no tools".into() }
+        else { format!("{} tools", def.tools.len()) };
+    log(&format!("prompt {}KB, model={}, {}, {} nodes",
+        prompt_kb, def.model, tools_desc, agent_batch.node_keys.len()));
+    for key in &agent_batch.node_keys {
+        log(&format!("  node: {}", key));
+    }
+
+    log("calling LLM");
     let output = llm::call_for_def(&def, &agent_batch.prompt)?;
 
+    let output_kb = output.len() / 1024;
+    log(&format!("response {}KB", output_kb));
+
     // Store raw output for audit trail
     let ts = store::compact_timestamp();
     let report_key = format!("_{}-{}-{}", llm_tag, agent_name, ts);
@@ -616,6 +652,8 @@ pub fn run_one_agent(
     let actions = parse_all_actions(&output);
     let no_ops = count_no_ops(&output);
 
+    log(&format!("parsed {} actions, {} no-ops", actions.len(), no_ops));
+
     // Record visits for processed nodes
     if !agent_batch.node_keys.is_empty() {
         store.record_agent_visits(&agent_batch.node_keys, agent_name).ok();
@@ -889,7 +927,7 @@ fn run_cycle(
     for agent_name in &agent_names {
         eprintln!("\n  --- {} (n={}) ---", agent_name, config.batch_size);
 
-        let result = match run_one_agent(&mut store, agent_name, config.batch_size, "knowledge") {
+        let result = match run_one_agent(&mut store, agent_name, config.batch_size, "knowledge", &|msg| eprintln!("    {}", msg)) {
             Ok(r) => r,
             Err(e) => {
                 eprintln!("    ERROR: {}", e);