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v3.14.0 Feature

This release adds 4 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Summary

AI summary

The autonomy loop now passes step results as context and marks goals completed at progress >= 1.0.

Full changelog

What's new

First release where the autonomy loop actually works end-to-end.

Changes

  • autonomy_loop.py: Accepts reasoning_layer (was silently dropped before — the daemon was running blind). Each step passes its result as context to the next. Goal marked completed at progress >= 1.0.
  • reasoning_layer.py: Improved Ollama prompt with capability descriptions, param format examples, and selection rules.
  • execution_engine.py: Filters params to only those the function accepts — Ollama-hallucinated extras no longer crash execution. Capabilities returning ok=False now correctly marked failed.
  • live_capabilities.py: Explicit JSON param schemas. memory_set accepts non-string values. memory_get returns ok=False on error.

Verified

Agent receives goal → Ollama selects capability → executes with real params → progress tracked → goal marked completed at 1.0

Phase 8 progress

  • v3.14.0 ✅ Goal completion + step context
  • v3.15.0 🔜 Multi-step planning
  • v3.16.0 🔜 Result synthesis
  • v3.17.0 🔜 Real task validation

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Related context

Earlier breaking changes

  • v5.7.32 Web dashboard removed; operator panel is canonical UI

Beta — feedback welcome: [email protected]