[Dream Cycle 2026-07-05] performance: PolyKV shared KV pool cuts 15-agent memory 97.7% (Grade A) + security,hive-mind scan

## Tonight's Rotation

| | Surface |
|---|---|
| **DEEP** | performance |
| **SCAN 1** | security |
| **SCAN 2** | hive-mind |
| **SLOT** | 0 (DAYINT 20260705 % 5) |
| **Session Commit** | `a5f86ad0ada8aca3e8f664202a452714355990f5` |
| **Branch** | `dream/2026-07-05-performance` |

---

## Drift Check

**Prior 7 dream-cycle issues:**
| # | Title | Date | State |
|---|---|---|---|
| #2559 | [DC 2026-07-04] swarm: Inverse-Wisdom Law (Grade A) proves larger swarms harden wrong consensus | 2026-07-04 | open |
| #2533 | [DC 2026-07-03] memory: RL-trained memory ops (AutoMem) | 2026-07-03 | open |
| #2526 | [DC 2026-07-02] intelligence: HyDRA dimension routing +12.9% cost savings | 2026-07-02 | open |
| #2516 | [DC 2026-07-01] security: AgentDB retrieval pipeline has 0 certified defenses | 2026-07-01 | open |
| #2510 | [DC 2026-06-30] performance: TokenDance 17.5× cross-agent KV-cache reduction | 2026-06-30 | open |
| #2495 | [DC 2026-06-29] swarm: RL stopping policy | 2026-06-29 | open |
| #2485 | [DC 2026-06-28] memory: TRUSTMEM+MemStrata | 2026-06-28 | open |

**Drift flags:**
- ⚠️ **needs-merge**: All 7 prior issues open — no dream-cycle PR merged in ≥9 nights. Human review urgently needed.
- ✅ No finding phrase repeats ≥3 times. Prior performance issue (#2510, 2026-06-30) was "TokenDance 17.5× cross-agent KV-cache reuse" — tonight is "PolyKV asymmetric compression 97.7%" — different mechanism (FWHT+Lloyd-Max compression vs cross-agent reuse), different paper. Orthogonal.
- ✅ No surface exhausted — ADR-176 is a novel architectural decision.

**Last-night self-score (#2559 swarm, Inverse-Wisdom Law):** 10/10
(Grade A benchmark ✓, ≥4 competitor rows ✓, specific actions ✓, witness present ✓, <1500 words ✓, novel finding ✓)

---

## Deep Dive Findings — Performance

### SOTA Summary

Agent inference optimization in mid-2026 converges on three tracks: **(1) cross-agent KV cache sharing and compression** — PolyKV-style shared pools with asymmetric quantization collapse multi-agent memory overhead by 97%+ while preserving quality; **(2) speculative decoding + FP8 quantization** delivering 4–5x throughput gains; and **(3) disaggregated prefill/decode scheduling** (ConServe) cutting p95 TTFT by ~51%. A fourth emerging track is **symbolic inter-agent communication** (CLSR) eliminating 3–6x natural-language token overhead. The field has moved firmly from per-model optimization to system-level co-design across agents.

| Finding | Paper | Confidence |
|---|---|---|
| PolyKV: shared compressed KV pool — 19.8 GB → 0.45 GB (97.7%) at 15 agents; 2.91x compression; BERTScore F1 0.928 | arXiv:2604.24971 (Patel & Joshi, Apr 2026) | **A** |
| ConServe disaggregated scheduling: p95 TTFT −51.08%, energy −7.51% | arXiv Jun 2026 (Ding, Hosseini et al.) | **A** |
| AsymCache multi-segment KV eviction: TTFT 1.90–2.03x, TPOT 1.62–1.71x | arXiv Jun 2026 (Shi, Chen et al.) | **A** |
| IBM Spec+FP8: 4.48x throughput speedup | arXiv:2606.18502 (Dashore et al., IBM) | **B** |
| CLSR symbolic inter-agent language: 3–6x token reduction vs chain-of-thought | arXiv Jun 2026 (Pei, Huang, Wang) | **B** |

### Gap vs Current Ruflo

| Gap | Current State | SOTA |
|---|---|---|
| Cross-agent shared KV pool | Per-agent cache, no sharing | PolyKV: 97.7% reduction at 15 agents (Grade A) |
| Speculative decoding | Not present | 4.48x throughput (Grade B) |
| Disaggregated prefill/decode | Not present | 51% p95 TTFT reduction (Grade A) |
| Symbolic inter-agent comms | Text SendMessage | 3–6x token savings possible (Grade B) |

### Recommended Action

**ADR-176 filed** (see branch). Implement `SharedKVPoolManager` in `@claude-flow/memory` with int8 key quantization + FWHT+Lloyd-Max value compression. Benchmark gate: ≥90% memory reduction, BERTScore F1 ≥0.90. Priority: high.

---

## Scan Findings — Security

**Source:** MESA (arXiv:2606.30602, Li et al., Jun 2026); AgentFlow (arXiv:2607.01640, Wang et al., Jul 2026) | **Grade: A**

A single compromised agent-to-agent communication edge accounts for up to **75% of total attack success** in multi-agent systems (MESA). AgentFlow introduces static taint analysis via Agent Dependency Graphs covering MCP server pipelines. AI-Infra-Guard provides 75+ AI component rules and LLM-driven MCP server auditing. The 2025 OWASP LLM Top 10 "Excessive Agency" threat is now operationalized through supply-chain and memory-poisoning attack benchmarks.

**Ruflo gap:** No static taint analysis on agent-to-agent SendMessage channels. `@claude-flow/security` threat model does not enumerate agent edges as attack surface.

**Action:** Label all agent-to-agent edges in `@claude-flow/security` threat model; add static taint gate to pre-task hook.

---

## Scan Findings — Hive-Mind

**Source:** arXiv:2602.02170 (Rodriguez & Díaz, Feb 2026) | **Grade: B**

Six BFT protocols evaluated under f < n/3. Bounded self-modification of coordination protocols is formally auditable. Broader LLM collective-intelligence work has not yet appeared at scale — the field is mapping BFT theory to practice. Ruflo's existing `byzantine-coordinator` and `raft-manager` are ahead of most published work.

**Finding:** Hive-mind is not a performance bottleneck for Ruflo — existing BFT coverage is adequate. No immediate action required.

---

## Competitors Reviewed

| Framework | Key 2026 Performance Claim | Source | Grade |
|---|---|---|---|
| **LangGraph** | 10,155ms avg latency, 2.70 rps, 30–40% fewer tokens than CrewAI on medium tasks | dev.to benchmark 2026 | B |
| **AutoGen (AG2)** | ~56,700 tokens / 4-agent 5-round debate; 4–5x overhead; GA Feb 2026 | f3fundit.com; secondtalent.com 2026 | C |
| **CrewAI** | 43/100 token efficiency score; ~32s/run; 44% task failure rate in Rust benchmark | dev.to audit; aimultiple.com 2026 | C |
| **OpenAI Agents SDK** | "Fastest latency and highest token efficiency"; Swarm deprecated Mar 2026 | qubittool.com; selecthub.com 2026 | B |
| **Ruflo** | HNSW 1.9x–4.7x (measured); SONA 0.0043ms/adapt | CLAUDE.md / benchmark-intelligence.mjs | A |

---

## Gist Link

Report saved to branch: `v3/docs/research/dream-cycle-2026-07-05-performance.md`
(gh CLI unavailable in this environment; gist not published to gist.github.com)

---

## Witness

**Session commit:** `a5f86ad0ada8aca3e8f664202a452714355990f5`
**Report SHA-256:** `39545a8bb7283d10e370d3418584165101762c8550982e6cd069868c23181383`
**Witness stamp:** `8c1959eec4d5b534b3d3c6030617c2bfe2c109520903ed435d6bdfdaa34ea90b`
**Verification:** `sha256(report) + session_commit | sha256 → must equal witness stamp`
**ADR:** [ADR-176](../blob/dream/2026-07-05-performance/v3/docs/adr/ADR-176-dream-cycle-performance-polykv-shared-kv-pool.md)

Read v3/docs/research/dream-cycle-2026-07-05-performance.md and the linked ADR-176 first; they contain the reported findings, benchmark targets, and recommended areas. Then inspect the mentioned @claude-flow/memory and @claude-flow/security packages to determine whether the research report and ADR are the intended deliverables, since no specific implementation files or tests are named.

Written by the indexing model from the issue text.