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Get Started Free →spencermarx/ReasoningBank Intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement.
Passed 22 of 22 test cases with the skill, and 6 of 22 without it.
and 24 more in the full report
16 fixed6 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write code to instantiate ReasoningBank with persistence enabled, a learning rate of 0.1, and AgentDB specified as the storage adapter.
| Checked | Without skill | With skill |
|---|---|---|
| Passes persist as true in the constructor options. | Missed | Passed |
| Sets learningRate to 0.1 and adapter to agentdb in constructor options. | Missed | Passed |
The instructions your model reads when the skill loads.
Implements ReasoningBank's adaptive learning system for AI agents to learn from experience, recognize patterns, and optimize strategies over time. Enables meta-cognitive capabilities and continuous improvement.
import { ReasoningBank } from 'agentic-flow/reasoningbank';
// Initialize ReasoningBank
const rb = new ReasoningBank({
persist: true,
learningRate: 0.1,
adapter: 'agentdb' // Use AgentDB for storage
});
// Record task outcome
await rb.recordExperience({
task: 'code_review',
approach: 'static_analysis_first',
outcome: {
success: true,
metrics: {
bugs_found: 5,
time_taken: 120,
false_positives: 1
}
},
context: {
language: 'typescript',
complexity: 'medium'
}
test cases passed, vs 6 / 22 without
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