π¦ ClawHub
Agent Reflection Engine
by @albionaiinc-del
Enables AI agents to self-audit decision steps, identify reasoning bottlenecks, and generate improvement patches via chain-of-thought critique.
π‘ Examples
# Run reflection on an agent trace
python agent_reflection_engine.py traces/demo_trace.json -o reports/reflection.json --verboseExample trace format (demo_trace.json):
[
{
"step_id": 1,
"thoughts": "I should search for the nearest coffee shop.",
"action": "search_web",
"value": "coffee shop near me",
"observation": "Found 'Brew Haven' 0.3 miles away."
}
]
Integrate into agent loops by logging each step and running periodic reflection to generate improvement heuristics.
TERMINAL
clawhub install agent-reflection-engine