v3.32.35
ruvnet/ruflov3.32.35Jul 29, 2026by ruvnet
AI Summary
Introduces adaptive swarm scheduling topology and safer learning loops with project-local flywheel evaluation anchors.
Key Highlights
- New `pheromone-adaptive` swarm topology with dry-run calibration mode.
- Project-local flywheel evaluation anchors using hash-pinned manifests.
- AgentDB cleanup for stale vectors and logical-key upserts.
- Daemon auto-start limited to actual Ruflo projects.
New Features
- Role-aware EMA scoring and protected role invariants.
- Outcome-based adaptive scheduling with live enforcement option.
- Hash-pinned benchmarking for project flywheels.
Full Release Notes
# Ruflo v3.32.35: Adaptive Swarms and Safer Learning Loops
Ruflo v3.32.35 gives long-running agent teams a controlled way to learn which
workers should receive future tasks. The new `pheromone-adaptive` topology
combines outcome, latency, and consensus signals while preserving protected
roles, a minimum active quorum, and existing permissions. It begins in dry-run
mode so teams can inspect its decisions before enabling scheduling changes.
This release also makes the surrounding learning loop more trustworthy:
project flywheels must evaluate against a project-local, hash-pinned benchmark;
learned routing updates inside a live MCP process; AgentDB deletes and upserts
remove stale vectors; and daemon auto-start is limited to actual Ruflo
projects.
## Install or upgrade
```bash
npm install --global ruflo@3.32.35
ruflo doctor
```
Existing installations remain compatible. The default topology is still
`hierarchical`, old swarm state remains readable, historical flywheel receipts
remain verifiable, and the new adaptive scheduler is opt-in.
## Try adaptive swarm scheduling
Start in the default calibration mode:
```bash
ruflo swarm init \
--topology pheromone-adaptive \
--max-agents 8
ruflo swarm pheromone
ruflo agent metrics --format json
```
When the observations look right, explicitly enable scheduling enforcement:
```bash
ruflo swarm init \
--topology pheromone-adaptive \
--max-agents 8 \
--apsc-live
```
Live mode changes Ruflo dispatch eligibility only. It does not terminate
agents, revoke access, discard context, or widen permissions.
## Use a project-local flywheel anchor
Create `.claude/eval/flywheel-anchor.manifest.json`:
```json
{
"schemaVersion": "ruflo.flywheel-anchor-manifest/v1",
"path": "my-project-anchor.json",
"sha256": "sha256:<canonical-task-hash>"
}
```
The referenced anchor contains at least four labelled tasks. Ruflo binds its
canonical hash into new evaluation receipts. A non-Ruflo repository without a
project anchor now fails closed instead of silently optimizing against Ruflo's
built-in development benchmark.
## What changed
- Adds the opt-in `pheromone-adaptive` swarm topology with role-aware EMA
scoring, dry-run calibration, protected roles, quorum floors, bounded
exploration, atomic cross-process updates, CLI inspection, and MCP tools.
- Connects `hooks post-task` outcomes to adaptive scheduling and exposes each
agent's score, sample count, role, and eligibility through `agent metrics`.
- Adds hash-pinned, project-local flywheel evaluation anchors and receipt
binding while retaining historical receipt verification.
- Makes learned routing use supported, discriminative evidence and immediately
invalidates a warm router after labelled outcomes.
- Makes AgentDB logical-key upserts, deletes, and cleanup reconcile every stale
vector and report accurate lifecycle metrics.
- Limits daemon auto-start to projects containing `.claude-flow/`, reports the
first start, and applies a 30-minute abandoned-daemon idle timeout.
## Measured benchmark
On the declared synthetic benchmark (12 agents, 20,000 updates), adaptive
scheduling produced:
- 33.3% active-agent reduction;
- +0.2617 admitted mean score;
- 0.0066 ms update p95 in the release validation run;
- preserved quorum and protected-role invariants.
These are Ruflo benchmark results for that workload, not a universal production
performance claim.
## Validation
- TypeScript builds passed for `@claude-flow/shared`, `@claude-flow/swarm`, and
`@claude-flow/cli`.
- The changed-surface suite passed 93 tests across nine files.
- Twenty concurrent outcome writers persisted all twenty rounds with no
residual lock.
- Built CLI smoke tests covered initialization, automatic post-task learning,
status, manual updates, and JSON metrics.
- CI/CD, V3 CI/CD, CodeQL, cross-agent integration, CVE audit, and verification
workflows passed on the merged commit.
This release ships [#2848](https://github.com/ruvnet/ruflo/pull/2848) and
resolves
[#2815](https://github.com/ruvnet/ruflo/issues/2815),
[#2819](https://github.com/ruvnet/ruflo/issues/2819),
[#2832](https://github.com/ruvnet/ruflo/issues/2832),
[#2834](https://github.com/ruvnet/ruflo/issues/2834),
[#2839](https://github.com/ruvnet/ruflo/issues/2839), and
[#2840](https://github.com/ruvnet/ruflo/issues/2840).