Agentops evolve
Goal-driven v2 autonomous improvement loop. Runs the post-mortem, repo analysis, next-work selection, plan/pre-mortem, implementation, validation, and repeat cadence through $rpi and ao evolve. Also pulls from open beads when goals all pass. Use when you want to "improve", "iterate", "fix issues", "work through tasks", "evolve", "check goal fitness", "run improvement loop", "pick up next work", or "postmortem and continue".
git clone https://github.com/boshu2/agentops
T=$(mktemp -d) && git clone --depth=1 https://github.com/boshu2/agentops "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills-codex/evolve" ~/.claude/skills/boshu2-agentops-evolve && rm -rf "$T"
skills-codex/evolve/SKILL.md$evolve — Goal-Driven Compounding Loop
Measure what's wrong. Fix the worst thing. Measure again. Compound.
V2 command surface: keep the name
evolve. Use ao evolve for the
terminal-native loop. It is the top-level operator entrypoint for
ao rpi loop --supervisor, preserving the old $evolve concept while reusing
the v2 RPI loop engine.
Operator cadence: post-mortem finished work, analyze the current repo state, select or create the next highest-value work item, let
$rpi handle research,
planning, pre-mortem, implementation, and validation, then harvest follow-ups
and repeat until a kill switch, max-cycle cap, regression breaker, or real
dormancy stops the run.
Always-on autonomous loop over
$rpi. Work selection order:
- Harvested
work (freshest concrete follow-up).agents/rpi/next-work.jsonl - Open ready beads work (
)bd ready - Failing goals and directive gaps (
)ao goals measure - Testing improvements (missing/thin coverage, missing regression tests)
- Validation tightening and bug-hunt passes (gates, audits, bug sweeps)
- Complexity / TODO / FIXME / drift / dead code / stale docs / stale research mining
- Concrete feature suggestions derived from repo purpose when no sharper work exists
Dormancy is last resort. Empty current queues mean "run the generator layers", not "stop". Only go dormant after the queue layers and generator layers come up empty across multiple consecutive passes.
$evolve # Run until kill switch, max-cycles, or real dormancy $evolve --max-cycles=5 # Cap at 5 cycles $evolve --dry-run # Show what would be worked on, don't execute $evolve --beads-only # Skip goals measurement, work beads backlog only $evolve --quality # Quality-first mode: prioritize post-mortem findings $evolve --quality --max-cycles=10 # Quality mode with cycle cap $evolve --compile # Mine → Defrag warmup before first cycle $evolve --compile --max-cycles=5 # Warm knowledge base then run 5 cycles $evolve --test-first # Default strict-quality $rpi execution path $evolve --no-test-first # Explicit opt-out from test-first mode
Delineation vs $dream
| Lane | Runs | Mutates code? | Mutates corpus? | Outer loop? | Budget |
|---|---|---|---|---|---|
| nightly, private local | No | Yes (heavy) | Yes (convergence) | wall-clock + plateau |
| daytime, operator-driven | Yes (via ) | Yes (light) | Yes | cycle cap |
Dream owns the knowledge compounding layer;
$evolve owns the code compounding layer. Both share fitness-measurement substrate via corpus.Compute / ao goals measure. Run Dream overnight, then start each day with $evolve against the freshly-compounded corpus with a clean fitness baseline.
Flags
| Flag | Default | Description |
|---|---|---|
| unlimited | Stop after completed cycles |
| off | Show planned cycle actions without executing |
| off | Skip goal measurement and run backlog-only selection |
| off | Skip first-run baseline snapshot |
| off | Prioritize harvested post-mortem findings |
| off | Run + warmup before cycle 1 |
| on | Pass strict-quality defaults through to |
| off | Explicitly disable test-first passthrough to |
Execution Steps
YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.
FULLY AUTONOMOUS. Evolve runs without human intervention from start to teardown. Every
$rpi invocation uses --auto. Do NOT ask the user for confirmation, clarification, or approval at any point. Do NOT pause between cycles. Do NOT summarize and wait. The user's only touchpoint is the teardown report at the very end.
Each cycle is a COMPLETE $rpi run — all 3 phases (discovery → implementation → validation). Never invoke a partial RPI. If a task is too large for one cycle, break it into smaller sub-tasks during discovery and let
$crank handle the waves. Evolve's job is to keep the loop turning, not to micro-manage individual tasks.
Break large work into sub-RPI cycles. When work selection identifies a massive task (7+ issues, multi-subsystem scope), decompose it during
$rpi's discovery phase into an epic with waves. One evolve cycle = one $rpi run = one complete lifecycle. If the epic is too large for a single session, $rpi's built-in retry and --from= resume handle continuation.
Anti-Patterns (DO NOT)
| Anti-Pattern | Why It's Wrong | Correct Behavior |
|---|---|---|
| Ask the user anything during execution | Evolve is fully autonomous — questions break the loop | Make best judgment, report in teardown |
Stop after one cycle and summarize | Evolve loops until kill switch, max-cycles, or dormancy | Increment cycle and re-enter Step 1 |
Run without | Non-auto has human gates that halt the loop | Always pass to |
Run partial (skip validation) | Each cycle must be a complete 3-phase lifecycle | Let run all 3 phases autonomously |
| Pause between cycles to explain progress | The user wants results, not narration | Log cycle results, immediately start next cycle |
| Treat "no queued work" as "stop" | Generator layers (testing, validation, drift, features) produce work | Run all generator layers before considering dormancy |
Step 0: Setup
mkdir -p .agents/evolve ao lookup --query "autonomous improvement cycle" --limit 5 2>/dev/null || true
Apply retrieved knowledge: If learnings are returned, check each for applicability to the current improvement cycle. For applicable learnings, cite by filename and record:
ao metrics cite "<path>" --type applied 2>/dev/null || true
Before cycle recovery, load the repo execution profile contract when it exists. The repo execution profile is the source for repo policy; the user prompt should mostly supply mission/objective, not restate startup reads, validation bundle, tracker wrapper rules, or
definition_of_done.
- Locate
anddocs/contracts/repo-execution-profile.md
.docs/contracts/repo-execution-profile.schema.json - Read the ordered
and bootstrap from those repo paths before selecting work.startup_reads - Cache repo
,validation_commands
, andtracker_commands
into session state.definition_of_done - If the repo execution profile is present but missing required fields, stop or downgrade with an explicit warning before cycle 1. Do not silently invent repo policy.
Then load the repo-local autodev program contract when it exists. The execution profile remains the repo bootstrap and landing-policy layer;
PROGRAM.md or AUTODEV.md is the repo-local execution layer for the current improvement loop.
- Locate
andPROGRAM.md
.AUTODEV.md
takes precedence.PROGRAM.md - Read the resolved program before cycle recovery and cache
,program_path
,mutable_scope
,immutable_scope
,validation_commands
, anddecision_policy
into session state.stop_conditions - If the program file exists but is structurally invalid, stop or downgrade with an explicit warning before cycle 1. Do not silently ignore a broken operator contract.
- When a program contract exists, prefer work that can land wholly inside mutable scope. Do not silently widen scope around immutable files.
Recover cycle number, queue/generator streaks, and the last claimed work item from disk (survives context compaction):
if [ -f .agents/evolve/cycle-history.jsonl ]; then CYCLE=$(( $(tail -1 .agents/evolve/cycle-history.jsonl | jq -r '.cycle // 0') + 1 )) else CYCLE=1 fi SESSION_START_SHA=$(git rev-parse HEAD) # Recover idle streak from disk (not in-memory — survives compaction) # Portable: forward-scanning awk counts trailing idle run without tac (unavailable on stock macOS) IDLE_STREAK=$(awk '/"result"\s*:\s*"(idle|unchanged)"/{streak++; next} {streak=0} END{print streak+0}' \ .agents/evolve/cycle-history.jsonl 2>/dev/null) PRODUCTIVE_THIS_SESSION=0 # Recover generator state and queue claim state if [ -f .agents/evolve/session-state.json ]; then GENERATOR_EMPTY_STREAK=$(jq -r '.generator_empty_streak // 0' .agents/evolve/session-state.json 2>/dev/null || echo 0) LAST_SELECTED_SOURCE=$(jq -r '.last_selected_source // empty' .agents/evolve/session-state.json 2>/dev/null || true) CLAIMED_WORK_REF=$(jq -r '.claimed_work.ref // empty' .agents/evolve/session-state.json 2>/dev/null || true) else GENERATOR_EMPTY_STREAK=0 LAST_SELECTED_SOURCE="" CLAIMED_WORK_REF="" fi # Circuit breaker: stop if last productive cycle was >60 minutes ago LAST_PRODUCTIVE_TS=$(grep -v '"idle"\|"unchanged"' .agents/evolve/cycle-history.jsonl 2>/dev/null \ | tail -1 | jq -r '.timestamp // empty') # Time-based circuit breaker if [ -n "$LAST_PRODUCTIVE_TS" ]; then NOW_EPOCH=$(date +%s) LAST_EPOCH=$(date -j -f "%Y-%m-%dT%H:%M:%S%z" "$LAST_PRODUCTIVE_TS" +%s 2>/dev/null \ || date -d "$LAST_PRODUCTIVE_TS" +%s 2>/dev/null || echo 0) if [ "$LAST_EPOCH" -gt 1000000000 ] && [ $((NOW_EPOCH - LAST_EPOCH)) -ge 3600 ]; then echo "CIRCUIT BREAKER: No productive work in 60+ minutes. Stopping." # go to Teardown fi fi # Track oscillating goals (improved→fail→improved→fail) to avoid burning cycles declare -A QUARANTINED_GOALS # goal_id → true if oscillation count >= 3 # Pre-populate quarantine list from cycle history (lightweight local scan) if [ -f .agents/evolve/cycle-history.jsonl ]; then while IFS= read -r goal; do QUARANTINED_GOALS[$goal]=true echo "Quarantined oscillating goal: $goal" done < <( jq -r '.target' .agents/evolve/cycle-history.jsonl 2>/dev/null \ | awk '{ if (prev != "" && prev != $0) transitions[$0]++ prev = $0 } END { for (g in transitions) if (transitions[g] >= 3) print g }' ) fi
Parse flags:
--max-cycles=N (default unlimited), --dry-run, --beads-only, --skip-baseline, --quality, --compile.
Track cycle-level execution state:
evolve_state = { cycle: <current cycle number>, mode: <standard|quality|beads-only>, test_first: <true by default; false only when --no-test-first>, repo_profile_path: <docs/contracts/repo-execution-profile.md or null>, startup_reads: <ordered repo bootstrap paths>, validation_commands: <ordered repo validation bundle>, tracker_commands: <repo tracker shell wrappers>, definition_of_done: <repo stop predicates>, program_path: <PROGRAM.md|AUTODEV.md or null>, program_mutable_scope: <declared mutable paths/globs>, program_immutable_scope: <declared immutable paths/globs>, program_validation_commands: <ordered program validation bundle>, program_decision_policy: <ordered keep/revert rules>, program_stop_conditions: <ordered cycle done criteria>, generator_empty_streak: <consecutive passes where all generator layers returned nothing>, last_selected_source: <harvested|beads|goal|directive|testing|validation|bug-hunt|drift|feature>, claimed_work: <null or work reference being worked>, queue_refresh_count: <incremented after every $rpi cycle> }
Persist
evolve_state to .agents/evolve/session-state.json at each cycle boundary, after work claims, after release/finalize, and during teardown. cycle-history.jsonl remains the canonical cycle ledger; session-state.json carries resume-only state that has not yet earned a committed cycle entry.
Step 0.2: Compile Warmup (--compile only)
Skip if
--compile was not passed or if --dry-run.
Run the mechanical half of the Compile cycle to surface fresh signal before the first evolve cycle:
mkdir -p .agents/mine .agents/defrag echo "Compile warmup: mining signal..." ao mine --since 26h --quiet 2>/dev/null || echo "(ao mine unavailable — skipping)" echo "Compile warmup: defrag sweep..." ao defrag --prune --dedup --quiet 2>/dev/null || echo "(ao defrag unavailable — skipping)"
Then read
.agents/mine/latest.json and .agents/defrag/latest.json and note (in 1-2 sentences each):
- Any orphaned research files that look relevant to current goals
- Any code hotspots (high-CC functions with recent edits) that may be the root cause of failing goals
- Any duplicate learnings merged by defrag — context on what's been cleaned up
These notes inform work selection throughout the evolve session. Store them in a session variable (in-memory), not a file.
Step 0.5: Baseline (first run only)
Skip if
--skip-baseline or --beads-only or baseline already exists.
ao evolve captures this automatically before entering the RPI loop. It hashes
the active GOALS.md or GOALS.yaml file to an era ID, then writes a snapshot
under .agents/evolve/fitness-baselines/goals-<hash>/ if that era directory
does not already contain a JSON snapshot.
For manual recovery or one-off capture:
GOALS_FILE="" if [ -f GOALS.md ]; then GOALS_FILE="GOALS.md" elif [ -f GOALS.yaml ]; then GOALS_FILE="GOALS.yaml" fi if [ -n "$GOALS_FILE" ]; then ERA_ID="goals-$(shasum -a 256 "$GOALS_FILE" | awk '{print substr($1, 1, 12)}')" bash scripts/evolve-capture-baseline.sh \ --label "$ERA_ID" \ --timeout 60 fi
Step 1: Kill Switch Check
Run at the TOP of every cycle:
CYCLE_START_SHA=$(git rev-parse HEAD) [ -f ~/.config/evolve/KILL ] && echo "KILL: $(cat ~/.config/evolve/KILL)" && exit 0 [ -f .agents/evolve/STOP ] && echo "STOP: $(cat .agents/evolve/STOP 2>/dev/null)" && exit 0
Step 2: Measure Fitness
Skip if
--beads-only.
bash scripts/evolve-measure-fitness.sh \ --output .agents/evolve/fitness-latest.json \ --timeout 60 \ --total-timeout 75
Do NOT write per-cycle
files. The rolling file is sufficient for work selection and regression detection.fitness-{N}-pre.json
This writes a fitness snapshot to
.agents/evolve/ atomically via a temp file plus JSON validation. The AgentOps CLI is required for fitness measurement because the wrapper shells out to ao goals measure. If measurement exceeds the whole-command bound or returns invalid JSON, the wrapper fails without clobbering the previous rolling snapshot.
Step 3: Select Work
Selection is a ladder, not a one-shot check. After every productive cycle, return to the TOP of this step and re-read the queue before considering dormancy.
When a repo-local program contract exists, apply a scope filter before Step 4:
- candidate work that clearly requires immutable-scope edits is not eligible for direct execution
- prefer harvested, beads, goals, and generated work that can plausibly land within mutable scope
- if the selected item is inherently out of scope, escalate it or convert it into durable follow-up work instead of invoking
and hoping discovery widens scope$rpi
Step 3.1: Harvested work first
Read
.agents/rpi/next-work.jsonl and pick the highest-value unconsumed item for this repo. Prefer:
- exact repo match before
, then legacy unscoped entries* - already-harvested concrete implementation work before process work
- higher severity before lower severity
When evolve picks a harvested item, claim it first:
- set
claim_status: "in_progress" - set
claimed_by: "evolve:cycle-N" - set
claimed_at: "<timestamp>" - keep
until theconsumed: false
cycle and regression gate both succeed$rpi
If the cycle fails, regresses, or is interrupted before success, release the claim and leave the item available for the next cycle.
Step 3.2: Open ready beads
If no harvested item is ready, check
bd ready. Pick the highest-priority unblocked issue.
Step 3.3: Failing goals and directive gaps (skip if
--beads-only)
First assess directives, then goals:
- top-priority directive gap from
ao goals measure --directives - highest-weight failing goals (skip quarantined oscillators)
- lower-weight failing goals
This step exists even when all queued work is empty. Goals are the third source, not the stop condition.
DIRECTIVES=$(ao goals measure --directives 2>/dev/null) FAILING=$(jq -r '.goals[] | select(.result=="fail") | .id' .agents/evolve/fitness-latest.json | head -1)
Oscillation check: Before working a failing goal, check if it has oscillated (improved→fail transitions ≥ 3 times in cycle-history.jsonl). If so, quarantine it and try the next failing goal. See
references/oscillation.md.
# Count improved→fail transitions for this goal OSC_COUNT=$(jq -r "select(.target==\"$FAILING\") | .result" .agents/evolve/cycle-history.jsonl \ | awk 'prev=="improved" && $0=="fail" {count++} {prev=$0} END {print count+0}') if [ "$OSC_COUNT" -ge 3 ]; then QUARANTINED_GOALS[$FAILING]=true echo "{\"cycle\":${CYCLE},\"target\":\"${FAILING}\",\"result\":\"quarantined\",\"oscillations\":${OSC_COUNT},\"timestamp\":\"$(date -Iseconds)\"}" >> .agents/evolve/cycle-history.jsonl fi
Step 3.4: Testing improvements
Work generators for concrete improvement signals:
— find test gaps and generate candidates$test --coverage
— find complexity debt and refactor targets$refactor --sweep
— check dependency health, vulnerabilities, and license compliance$deps audit
— identify performance debt and optimization opportunities$perf profile
When queues and goals are empty, generate concrete testing work instead of idling:
- find packages/files with thin or missing tests
- look for missing regression tests around recent bug-fix paths
- identify flaky or absent headless/runtime smokes
Convert any real finding into durable work:
- add a bead when the work needs tracked backlog ownership, or
- append a queue item under the shared next-work contract when it should flow directly back into
$rpi
Step 3.5: Validation tightening and bug-hunt passes
If testing improvement generation returns nothing, run bug-hunt and validation sweeps:
- missing validation gates
- weak lint/contract coverage
- bug-hunt style audits for risky areas
- stale assumptions between docs, contracts, and runtime truth
Again: convert findings into beads or queue items, then immediately select the highest-priority result and continue.
Step 3.6: Drift / hotspot / dead-code mining
If the prior generators are empty, mine for:
- complexity hotspots
- stale TODO/FIXME markers
- dead code
- stale docs
- stale research
- drift between generated artifacts and source-of-truth files
Do not stop here. Normalize findings into tracked work and continue.
Step 3.7: Feature suggestions
If all concrete remediation layers are empty, propose one or more specific feature ideas grounded in the repo purpose, write them as durable work, and continue:
- create a bead when the feature needs review/backlog treatment
- or append a queue item with
when it is ready for the nextsource: "feature-suggestion"
cycle$rpi
Quality mode (
) — inverted cascade (findings before directives):--quality
Step 3.0q: Unconsumed high-severity post-mortem findings:
HIGH=$(jq -r 'select(.consumed==false) | .items[] | select(.severity=="high") | .title' \ .agents/rpi/next-work.jsonl 2>/dev/null | head -1)
Step 3.1q: Unconsumed medium-severity findings.
Step 3.2q: Open ready beads.
Step 3.3q: Emergency gates (weight >= 5) and top directive gaps.
Step 3.4q: Testing improvements.
Step 3.5q: Validation tightening / bug-hunt / drift mining.
Step 3.6q: Feature suggestions.
This inverts the standard cascade only at the top of the ladder: findings BEFORE goals and directives. It does NOT skip the generator layers.
When evolve picks a finding, claim it first in next-work.jsonl:
- Set
,claim_status: "in_progress"
,claimed_by: "evolve-quality:cycle-N"claimed_at: "<timestamp>" - Set
only after the $rpi cycle and regression gate succeedconsumed: true - If the $rpi cycle fails (regression), clear the claim and leave
consumed: false
See
references/quality-mode.md for scoring and full details.
Nothing found? HARD GATE — only consider dormancy after the generator layers also came up empty:
# Count trailing idle/unchanged entries in cycle-history.jsonl (portable, no tac) IDLE_STREAK=$(awk '/"result"\s*:\s*"(idle|unchanged)"/{streak++; next} {streak=0} END{print streak+0}' \ .agents/evolve/cycle-history.jsonl 2>/dev/null) if [ "$GENERATOR_EMPTY_STREAK" -ge 2 ] && [ "$IDLE_STREAK" -ge 2 ]; then # Work layers are empty AND producer layers were empty for the 3rd consecutive pass — STOP echo "Stagnation reached after repeated empty work + generator passes. Dormancy is the last-resort outcome." # go to Teardown — do NOT log another idle entry fi
If the work layers were empty but a generator pass has not been exhausted 3 times yet, persist the new generator streak in
session-state.json and loop back to Step 1. Empty pre-cycle work sources are not a stop reason by themselves.
A cycle is idle only if NO work source returned actionable work and every generator layer also came up empty. A cycle that targeted an oscillating goal and skipped it counts as idle only after the remaining ladder was exhausted.
If
--dry-run: report what would be worked on and go to Teardown.
Step 4: Execute
Primary engine: use
$rpi for any implementation-quality work. Every $rpi call MUST run all 3 phases (discovery → implementation → validation). $implement and $crank are allowed only when a bead already contains execution-ready scope and skipping discovery is clearly the better path.
If a repo-local
PROGRAM.md contract is active, $rpi will load it automatically. $evolve must compose with that behavior, not bypass it:
- Do not select work that is obviously outside mutable scope.
- If a bead or goal would require edits under immutable scope, escalate it or convert it into durable follow-up work instead of launching
.$rpi - When work is plausibly in scope but still uncertain, let
discovery validate the fit and surface a scope escape explicitly.$rpi
For a harvested item, failing goal, directive gap, testing improvement, validation tightening task, bug-hunt result, drift finding, or feature suggestion:
Invoke $rpi "{normalized work title}" --auto --max-cycles=1
For a beads issue:
Prefer: $rpi "Land {issue_id}: {title}" --auto --max-cycles=1 Fallback: $implement {issue_id}
Or for an epic with children:
Invoke $crank {epic_id}.
CRITICAL:
$rpi --auto runs hands-free through all 3 phases. Do NOT intervene, ask questions, or pause between phases. Wait for $rpi to return its completion marker, then proceed to Step 5.
If Step 3 created durable work instead of executing it immediately, re-enter Step 3 and let the newly-created bead item win through the normal selection order.
Step 5: Regression Gate
After execution, run the project build+test bundle. If the repo execution profile declared
validation_commands, run them. If a repo-local program contract exists, run its validation_commands too, de-duplicated and in declared order after the repo bootstrap checks.
# Detect and run project build+test if [ -f Makefile ]; then make test elif [ -f package.json ]; then npm test elif [ -f go.mod ]; then go build ./... && go vet ./... && go test ./... -count=1 -timeout 120s elif [ -f Cargo.toml ]; then cargo build && cargo test elif [ -f pyproject.toml ] || [ -f setup.py ]; then python -m pytest else echo "No recognized build system found"; fi # Cross-cutting constraint check (catches wiring regressions) if [ -f scripts/check-wiring-closure.sh ]; then bash scripts/check-wiring-closure.sh else echo "WARNING: scripts/check-wiring-closure.sh not found — skipping wiring check" fi
Use the program contract's
decision_policy as the first keep/revert rule set for the cycle:
- if the cycle breached immutable scope, treat it as regressed
- if program validation commands fail, treat it as regressed
- if the decision policy declares a revert rule that fired, revert before consuming claimed work or advancing the queue
Treat program
stop_conditions as per-cycle done criteria. Do not mark claimed work consumed, completed, or productive until both the stop conditions and the regression gate pass.
If not
--beads-only, also re-measure to produce a post-cycle snapshot:
bash scripts/evolve-measure-fitness.sh \ --output .agents/evolve/fitness-latest-post.json \ --timeout 60 \ --total-timeout 75 \ --goal "$GOAL_ID" # Extract goal counts for cycle history entry PASSING=$(jq '[.goals[] | select(.result=="pass")] | length' .agents/evolve/fitness-latest-post.json 2>/dev/null || echo 0) TOTAL=$(jq '.goals | length' .agents/evolve/fitness-latest-post.json 2>/dev/null || echo 0)
If regression detected (previously-passing goal now fails):
git revert HEAD --no-edit # single commit # or for multiple commits: git revert --no-commit ${CYCLE_START_SHA}..HEAD && git commit -m "revert: evolve cycle ${CYCLE} regression"
Set outcome to "regressed".
Work finalization after the regression gate:
- success: finalize any claimed work item with
,consumed: true
, andconsumed_by
; clear transient claim fieldsconsumed_at - failure/regression: clear
,claim_status
, andclaimed_by
; keepclaimed_at
; record the release inconsumed: falsesession-state.json
After the cycle's
$post-mortem finishes, immediately re-read .agents/rpi/next-work.jsonl before selecting the next item. Never assume the queue state from before the cycle.
Step 6: Log Cycle + Commit
Two paths: productive cycles get committed, idle cycles are local-only.
PRODUCTIVE cycles (result is improved, regressed, or harvested):
# Quality mode: compute quality_score BEFORE writing the JSONL entry QUALITY_SCORE_ARGS=() if [ "$QUALITY_MODE" = "true" ]; then REMAINING_HIGH=$(jq -r 'select(.consumed==false) | .items[] | select(.severity=="high")' \ .agents/rpi/next-work.jsonl 2>/dev/null | wc -l | tr -d ' ') REMAINING_MEDIUM=$(jq -r 'select(.consumed==false) | .items[] | select(.severity=="medium")' \ .agents/rpi/next-work.jsonl 2>/dev/null | wc -l | tr -d ' ') QUALITY_SCORE=$((100 - (REMAINING_HIGH * 10) - (REMAINING_MEDIUM * 3))) [ "$QUALITY_SCORE" -lt 0 ] && QUALITY_SCORE=0 QUALITY_SCORE_ARGS=(--quality-score "$QUALITY_SCORE") fi ENTRY_JSON="$( bash scripts/evolve-log-cycle.sh \ --cycle "$CYCLE" \ --target "$TARGET" \ --result "$OUTCOME" \ --canonical-sha "$(git rev-parse --short HEAD)" \ --cycle-start-sha "$CYCLE_START_SHA" \ --goals-passing "$PASSING" \ --goals-total "$TOTAL" \ "${QUALITY_SCORE_ARGS[@]}" )" OUTCOME="$(printf '%s\n' "$ENTRY_JSON" | jq -r '.result')" REAL_CHANGES=$(git diff --name-only "${CYCLE_START_SHA}..HEAD" -- ':!.agents/**' ':!GOALS.yaml' ':!GOALS.md' \ 2>/dev/null | wc -l | tr -d ' ') # Telemetry bash scripts/log-telemetry.sh evolve cycle-complete cycle=${CYCLE} goal=${TARGET} outcome=${OUTCOME} 2>/dev/null || true if [ "$OUTCOME" = "unchanged" ]; then # No-delta cycle: leave local-only so history stays honest and stagnation logic can see it. : elif [ "$REAL_CHANGES" -gt 0 ]; then # Full commit: real code was changed git add .agents/evolve/cycle-history.jsonl git commit -m "evolve: cycle ${CYCLE} -- ${TARGET} ${OUTCOME}" else # Productive cycle with non-agent repo delta already committed by a sub-skill: # stage the ledger but do not create a standalone follow-up commit. git add .agents/evolve/cycle-history.jsonl fi PRODUCTIVE_THIS_SESSION=$((PRODUCTIVE_THIS_SESSION + 1))
IDLE cycles (nothing found even after generator layers):
bash scripts/evolve-log-cycle.sh \ --cycle "$CYCLE" \ --target "idle" \ --result "unchanged" >/dev/null # No git add, no git commit, no fitness snapshot write
Step 7: Loop or Stop
while true; do # Step 1 .. Step 6 # Stop if kill switch, max-cycles, or a real safety breaker triggers # Otherwise increment cycle and re-enter selection CYCLE=$((CYCLE + 1)) done
Push only when productive work has accumulated:
if [ $((PRODUCTIVE_THIS_SESSION % 5)) -eq 0 ] && [ "$PRODUCTIVE_THIS_SESSION" -gt 0 ]; then git push fi
Teardown
- Commit any staged but uncommitted cycle-history.jsonl (from artifact-only cycles):
if git diff --cached --name-only | grep -q cycle-history.jsonl; then git commit -m "evolve: session teardown -- artifact-only cycles logged" fi
- Run
to harvest learnings.$post-mortem "evolve session: ${CYCLE} cycles" - Push only if unpushed commits exist:
UNPUSHED=$(git log origin/main..HEAD --oneline 2>/dev/null | wc -l) [ "$UNPUSHED" -gt 0 ] && git push
- Report summary:
## $evolve Complete Cycles: N | Productive: X | Regressed: Y (reverted) | Idle: Z Stop reason: stagnation | circuit-breaker | max-cycles | kill-switch
In quality mode, the report includes additional fields:
## $evolve Complete (quality mode) Cycles: N | Findings resolved: X | Goals fixed: Y | Idle: Z Quality score: start → end (delta) Remaining unconsumed: H high, M medium Stop reason: stagnation | circuit-breaker | max-cycles | kill-switch
Examples
User says:
$evolve --max-cycles=5
What happens: Evolve re-enters the full selection ladder after every $rpi cycle and runs producer layers instead of idling on empty queues.
User says:
$evolve --beads-only
What happens: Evolve skips goals measurement and works through bd ready backlog.
User says:
$evolve --dry-run
What happens: Evolve shows what would be worked on without executing.
User says:
$evolve --compile
What happens: Evolve runs ao mine + ao defrag at session start to surface fresh signal (orphaned research, code hotspots, oscillating goals) before the first evolve cycle. Use before a long autonomous run or after a burst of development activity.
User says:
$evolve
What happens: See references/examples.md for a worked overnight flow that moves through beads -> harvested work -> goals -> testing -> bug hunt -> feature suggestion before dormancy is considered.
See
references/examples.md for detailed walkthroughs.
Troubleshooting
| Problem | Solution |
|---|---|
| Loop exits immediately | Remove or |
| Stagnation after repeated empty passes | Queue layers and producer layers were empty across multiple passes — dormancy is the fallback outcome |
hangs | Use flag or to skip |
| Regression gate reverts | Review reverted changes, narrow scope, re-run; claimed work items must be released back to available state |
See
references/cycle-history.md for advanced troubleshooting.
References
— JSONL format, recovery protocol, kill switchreferences/cycle-history.md
— Knowledge flywheel and work harvestingreferences/compounding.md
— GOALS.yaml format and continuous metricsreferences/goals-schema.md
— Parallel $swarm architecturereferences/parallel-execution.md
— Trajectory computation and session summaryreferences/teardown.md
— Detailed usage examplesreferences/examples.md
— Generated files registryreferences/artifacts.md
— Oscillation detection and quarantinereferences/oscillation.md
— Quality-first mode: scoring, priority cascade, artifactsreferences/quality-mode.md
See Also
— Full lifecycle orchestrator (called per cycle)skills/rpi/SKILL.md
— Epic execution (called for beads epics)skills/crank/SKILL.md
— Repo-local operational contract for bounded autonomous developmentdocs/contracts/autodev-program.md
— Fitness goals for this repoGOALS.yaml- test — Test generation and coverage analysis
- refactor — Safe, verified refactoring for complexity targets
- deps — Dependency audit, vulnerability scanning, and license compliance
- perf — Performance profiling and benchmarking
Reference Documents
- references/artifacts.md
- references/compounding.md
- references/cycle-history.md
- references/examples.md
- references/goals-schema.md
- references/oscillation.md
- references/parallel-execution.md
- references/quality-mode.md
- references/teardown.md
Local Resources
references/
- references/artifacts.md
- references/compounding.md
- references/cycle-history.md
- references/examples.md
- references/goals-schema.md
- references/oscillation.md
- references/parallel-execution.md
- references/quality-mode.md
- references/teardown.md
scripts/
scripts/validate.sh