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metadata
title: agent-loop — FORGE Self-Improvement Orchestrator
emoji: 🔄
colorFrom: blue
colorTo: red
sdk: docker
pinned: true
license: mit
short_description: Feedback loop — trace→learn→propose→approve→deploy
🔄 agent-loop
FORGE Self-Improvement Orchestrator
Closes the feedback loop. Runs on a configurable cron interval, detects underperforming agents, generates improved system prompts via NEXUS, creates drafts in agent-prompts, and notifies you for approval. Never auto-deploys — every change requires human approval.
Improvement pipeline
TRACE ──(events)──▶ LEARN ──(scored)──▶ LOOP
│
NEXUS ◀──(generate proposal)
│
PROMPTS ◀──(POST draft, status=draft)
│
RELAY ◀──(Telegram notify)
│
YOU ──(approve via dashboard or API)
│
PROMPTS persona updated → agents fetch at next startup
Decision thresholds
| Condition | Action |
|---|---|
avg_reward < REWARD_THRESHOLD (0.2) |
Generate improvement proposal |
error_rate > ERROR_ESCALATE (15%) |
Mark critical, escalate via RELAY |
reward_delta < 0.05 after 24h |
Mark cycle inconclusive |
reward_delta > 0.05 after 24h |
Mark cycle successful |
REST API
POST /api/cycle Trigger a cycle manually
GET /api/cycles List recent cycles
GET /api/proposals List proposals (state, agent filters)
POST /api/proposals/{id}/approve Approve → deploy to agent-prompts
POST /api/proposals/{id}/reject Reject proposal
GET /api/health/agents Agent health snapshot
GET /api/stats Loop statistics
MCP
GET /mcp/sse · POST /mcp
Tools: loop_status, loop_trigger, loop_proposals, loop_approve,
loop_reject, loop_health, loop_cycles
Secrets
| Key | Description |
|---|---|
LOOP_KEY |
Optional write auth (X-Loop-Key header) |
LEARN_URL |
https://chris4k-agent-learn.hf.space |
TRACE_URL |
https://chris4k-agent-trace.hf.space |
PROMPTS_URL |
https://chris4k-agent-prompts.hf.space |
NEXUS_URL |
https://chris4k-agent-nexus.hf.space |
RELAY_URL |
https://chris4k-agent-relay.hf.space |
CYCLE_MINUTES |
Default: 60 |
REWARD_THRESHOLD |
Default: 0.2 |
CYCLE_ENABLED |
Set false to pause |
Built by Chris4K — ki-fusion-labs.de