v0.9.6

Added

• Compliance-first self-funding control plane: Complete revenue opportunity lifecycle (intake → qualify → score → plan → fulfill → settle) with DB-backed restart safety, strategy-level scoring (confidence/effort/risk/priority/recommendation), feedback persistence per opportunity and summary by strategy, configurable post-settlement asset routing (default PALM_USD), EVM swap submission with tx-hash tracking and on-chain receipt reconciliation, tax payout lifecycle mirroring swap tasks, and operator-visible accounting (net profit, attributable costs, retained earnings, tax allocation) across API, CLI, and mechanic surfaces.
• Revenue mechanic integration: Mechanic can probe, reconcile, and repair orphaned or stale revenue jobs and swap/tax reconciliation mismatches via run_gateway_provider_and_revenue_checks and run_gateway_integrated_repair_sweep.
• Skills catalog: PluginCatalog with CLI flows (ironclad skills catalog list/install/activate) and API endpoints (GET/POST /api/skills/catalog, /install, /activate). Registry manifest fetch from remote URL.
• Skill registry protocol: Migration 022 adds version, author, registry_source columns to skills table. Multi-registry support via RegistrySource { name, url, priority, enabled } with backward-compatible fallback from legacy single-URL registry_url.
• Multi-registry fetch: Registry sync iterates all configured sources, namespaces skills as {registry_name}/{skill_name} for non-local sources, applies semver comparison to skip redundant downloads, and resolves conflicts by registry priority.
• Learning loop closure: Agent now detects repeating multi-step tool sequences on session close and synthesizes reusable SKILL.md procedure files. learned_skills table (migration 021) tracks reinforcement history (success/failure counts, priority). LearningConfig exposes tuneable thresholds for minimum sequence length, success ratio, priority boost/decay, and skill cap. Inspired by recent work on autonomous tool-use learning in LLM agents (arXiv:2603.05344).
• Procedural failure recording: record_procedural_failure() (previously dead code in the DB layer) is now called from ingest_turn() when tool results indicate failure, closing the procedural memory feedback loop.
• Skill priority adjustment: Governor tick() now runs adjust_learned_skill_priorities() after episodic decay — learned skills with high success ratios get priority boosts; those with poor ratios get decayed.
• Skill subdirectory loading: SkillLoader now recurses into learned/ subdirectory, loading machine-synthesized skills alongside hand-authored ones.
• Progressive context compaction: 5-stage compaction (Trim → Summarize → Archive → Evict → Emergency) in compact_before_archive() with CompactionStage::from_excess() selector.
• Decay-weighted episodic retrieval: rerank_episodic_by_decay() applies time-based decay at retrieval time, preventing stale context from dominating memory budget.
• Instruction anti-fade micro-reminders: Event-driven system prompt reinforcement at agent decision points to combat instruction-following drift.
• x402 autonomous payment: LLM HTTP client now handles 402 Payment Required responses with autonomous on-chain payment and request retry.
• Homebrew & Winget packaging: release.yml contains complete update-homebrew (SHA256 extraction, formula generation, tap push) and update-winget (vedantmgoyal9/winget-releaser@v2) jobs. Activation requires tap repo creation and secrets provisioning.