Introduce a feedback loop where task outcomes (win/loss, success/failure)
feed back into agent bidding strategy. Borrows the "learn from outcomes"
concept from Spark Intelligence but builds it natively on Timmy's existing
SQLite + swarm architecture.
New module: src/swarm/learner.py
- Records every bid outcome with task description context
- Computes per-agent metrics: win rate, success rate, keyword performance
- suggest_bid() adjusts bids based on historical performance
- learned_keywords() discovers what task types agents actually excel at
Changes:
- persona_node: _compute_bid() now consults learner for adaptive adjustments
- coordinator: complete_task/fail_task feed results into learner
- coordinator: run_auction_and_assign records all bid outcomes
- routes/swarm: add /swarm/insights and /swarm/insights/{agent_id} endpoints
- routes/swarm: add POST /swarm/tasks/{task_id}/fail endpoint
All 413 tests pass (23 new + 390 existing).
https://claude.ai/code/session_01E5jhTCwSUnJk9p9zrTMVUJ
v2.0.0 Exodus — three roadmap items implemented in one PR:
**1. Agent Personas (Echo, Mace, Helm, Seer, Forge, Quill)**
- src/swarm/personas.py — PERSONAS dict with role, description, capabilities,
rate_sats, bid_base/jitter, and preferred_keywords for each of the 6 agents
- src/swarm/persona_node.py — PersonaNode extends SwarmNode with capability-
aware bidding: bids lower when the task description contains a preferred
keyword (specialist advantage), higher otherwise (off-spec inflation)
- SwarmCoordinator.spawn_persona(persona_id) — registers the persona in the
SQLite registry with its full capabilities string and wires it into the
shared AuctionManager via comms subscription
**2. Bid History Persistence (prerequisite for marketplace stats)**
- src/swarm/stats.py — bid_history table in data/swarm.db:
record_bid(), mark_winner(), get_agent_stats(), get_all_agent_stats()
- coordinator.run_auction_and_assign() now calls swarm_stats.mark_winner()
when a winner is chosen, so tasks_won/total_earned survive restarts
- spawn_persona() records each bid for stats tracking
**3. Marketplace Frontend wired to real data**
- /marketplace/ui — new HTML route renders marketplace.html with live
registry status (idle/busy/offline/planned) and cumulative bid stats
- /marketplace JSON endpoint enriched with same registry+stats data
- marketplace.html — fixed field names (rate_sats, tasks_completed,
total_earned), added role subtitle, comma-split capabilities string,
FREE label for Timmy, "planned_count" display
- base.html — added MARKET nav link pointing to /marketplace/ui
Tests: 315 passed (87 new) covering personas, persona_node, stats CRUD,
marketplace UI route, and enriched catalog data.
https://claude.ai/code/session_013CPPgLc589wfdS8LDNuarL
