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RL for orchestration traces: 5 sub-decisions (spawn, delegate, communicate, aggregate, stop); no RL method exists for the stopping decision across all surveyed frameworks
arXiv:2605.02801, May 2026, reproducible artifact (84 papers + JSON schema)
A
Reward design decomposes into 8 families (parallelism speedup, split correctness, aggregation quality, …); credit signal spans token-to-team
Framework latency (2K-instance independent test): LangGraph fastest across all 5 tasks; CrewAI 30-60% faster than AutoGen on simple tasks
Independent 2026 comparison (tensoria.fr)
B
Gap vs Current Ruflo
Orchestration Decision
Ruflo v3.6.10
SOTA (arXiv:2605.02801)
Gap
When to spawn
Hard-coded maxAgents=8
RL-trainable
Missing RL
Who to delegate
3-tier model routing (rules)
RL-trainable
Missing RL
How to communicate
SendMessage protocol
RL-trainable
Missing RL
How to aggregate
Task orchestrator collects
RL-trainable
Missing RL
When to stop
Hard-coded completion check
No RL method exists anywhere
Open frontier
Orchestration trace recording
hooks post-task → ReasoningBank
Replayable JSON schema
Missing replay schema
RL training on orchestration data
SONA (agent-level only)
Policy learning over traces
Gap
SONA learns agent-level behavior (0.0043ms/adapt). No component in Ruflo learns the orchestration decisions (spawn/delegate/aggregate/stop). This is a layer above SONA.
Recommended Action
ADR-153 filed (see PR): Gated RuVector backend adoption — but the higher-priority recommendation is:
Adopt the replayable JSON schema from arXiv:2605.02801 in v3/@claude-flow/hooks/src/orchestration-trace.ts (~120 LOC). Records all 5 sub-decisions per swarm run.
Emit StoppingDecisionTrace events from unified-coordinator.ts completion handler (~80 LOC). This creates the training dataset for the open stopping-RL gap.
These two steps together make Ruflo the only framework with a replayable orchestration trace store — prerequisite for any future RL policy.
No existing ADR (142–146) covers orchestration-level RL. No ADR filed for items 1–2 — implementation-level, ~200 LOC, no architectural decision required.
Ruflo position:@claude-flow/plugin-iot-cognitum already exists in the repo and bridges Cognitum Seed devices as Ruflo agents. RuView has its own ADR-069 (cognitum-seed-csi-pipeline) for feeding CSI into Cognitum hardware.
Finding: The IoT plugin bridge already exists. The gap is that RuView's CSI data plane is not wired into AgentDB as time-series memory entries — swarm agents cannot currently react to physical presence/vital-sign changes from RuView. This is implementation-level (no ADR needed): add a ruview-csi ingestion worker in plugin-iot-cognitum/src/workers/ that converts CSI frames to AgentDB memory entries tagged with source: ruview-csi. (B — GitHub repo crosschecked)
Competitive signal (2026): Qdrant <100ms p99 at 100M vectors 95% recall (Grade B); Milvus 100K+ QPS at 1B vectors (Grade A — vendor docs); Weaviate ~150ms at 500M vectors 92% recall (Grade B). All three tested at 100M+ vectors.
RuVector vendor claim: 50K QPS (1-thread), 100K QPS (8-thread) at 1M × 128D; p99 <5ms; AgenticDB-compatible API (Grade C — vendor gist only).
Finding: Ruflo's AgentDB benchmarked at 5k–20k vectors only. Competitors publish at 100M+. The scale cliff above 20K is unknown. ADR-153 filed: adds ruvector as optional feature-flagged backend, gated on independent benchmark at N ≥ 100K before default change. Do not flip default until scripts/benchmark-intelligence.mjs validates the Grade-C claim. (C — vendor gist, no peer-reviewed benchmark)
Competitors Reviewed
Framework
Stopping Decision
Orchestration RL
Scale Tested
Notable 2026 Change
Ruflo (claude-flow 3.6.10)
Hard-coded completion check
SONA (agent-level, not orchestration)
~8 agents
Federation hub, comms-first
LangGraph v0.4
Graph terminal node
None
Production
Fastest latency in 2K-task benchmark (B)
AutoGen AG2 1.0
ConversationTerminated signal
None
Production
Event-driven rearchitecture
CrewAI 0.105
max_iter + task_output check
None
Production
30-60% faster than AutoGen simple tasks (B)
OpenAI Agents SDK
Loop exit when no handoff
None
Production
Sandbox + approval callbacks
No framework surveyed implements RL-trained stopping. This is the open frontier identified by arXiv:2605.02801.
Gist Link
Gist publish: no gh gist create available in this remote environment. Report committed to branch at v3/docs/dream/dream-gist-2026-06-09.md in dream/2026-06-09-swarm.
Tonight's Rotation
cc8830d798152e9ee6647db11eaaf014759ac2ffDrift Check
needs-mergelabel added tonight. Meta-issue [dream-cycle] meta: ADR-147 collision across 6 open PRs + 0 merges in 14 nights #2324 confirms 0 dream-cycle PRs merged in 14 nights (earliest open: [Dream Cycle 2026-05-26] security: Indirect prompt injection critical gap vs OWASP ASI01 + intelligence,swarm scan #2149 from 2026-05-26). This is the 14-night threshold.Deep Dive Findings — Swarm SOTA 2026
SOTA Summary
Gap vs Current Ruflo
maxAgents=8hooks post-task→ ReasoningBankSONA learns agent-level behavior (0.0043ms/adapt). No component in Ruflo learns the orchestration decisions (spawn/delegate/aggregate/stop). This is a layer above SONA.
Recommended Action
ADR-153 filed (see PR): Gated RuVector backend adoption — but the higher-priority recommendation is:
v3/@claude-flow/hooks/src/orchestration-trace.ts(~120 LOC). Records all 5 sub-decisions per swarm run.StoppingDecisionTraceevents fromunified-coordinator.tscompletion handler (~80 LOC). This creates the training dataset for the open stopping-RL gap.No existing ADR (142–146) covers orchestration-level RL. No ADR filed for items 1–2 — implementation-level, ~200 LOC, no architectural decision required.
Scan Findings — ruview-integration
@claude-flow/plugin-iot-cognitumalready exists in the repo and bridges Cognitum Seed devices as Ruflo agents. RuView has its own ADR-069 (cognitum-seed-csi-pipeline) for feeding CSI into Cognitum hardware.ruview-csiingestion worker inplugin-iot-cognitum/src/workers/that converts CSI frames to AgentDB memory entries tagged withsource: ruview-csi. (B — GitHub repo crosschecked)Scan Findings — ruvector-integration
ruvectoras optional feature-flagged backend, gated on independent benchmark at N ≥ 100K before default change. Do not flip default untilscripts/benchmark-intelligence.mjsvalidates the Grade-C claim. (C — vendor gist, no peer-reviewed benchmark)Competitors Reviewed
ConversationTerminatedsignalmax_iter+ task_output checkNo framework surveyed implements RL-trained stopping. This is the open frontier identified by arXiv:2605.02801.
Gist Link
Gist publish: no
gh gist createavailable in this remote environment. Report committed to branch atv3/docs/dream/dream-gist-2026-06-09.mdindream/2026-06-09-swarm.Witness
cc8830d798152e9ee6647db11eaaf014759ac2ffe0dbcf415b98968c823c10fbd9c64094603c1d23868db126f06546cd1269f1b7d82a838fcd3f2cfce1bd8cd94d729508e666f4418394b1d8f74f7333ec147526Verifier: fetch raw
v3/docs/dream/dream-gist-2026-06-09.mdfrom branch →sha256sum→ concatcc8830d798152e9ee6647db11eaaf014759ac2ff→sha256sum→ must equal witness stamp.ADR filed: ADR-153 (RuVector production-scale backend). Branch:
dream/2026-06-09-swarm.