Name: ReasoningBank with AgentDB
Author: wiktorskrabel89-byte

Imported from wiktorskrabel89-byte/Assistantx (.claude/skills/reasoningbank-agentdb/SKILL.md). Install upstream with npx skills add wiktorskrabel89-byte/Assistantx --skill reasoningbank-agentdb. Copyright stays with the author.

ReasoningBank with AgentDB

Implement adaptive learning for AI agents with 150x faster pattern retrieval, 500x faster batch operations, and <1ms memory access.

Prerequisites

Node.js 18+
AgentDB v1.0.7+
agentic-flow installed

Quick Start

import { createAgentDBAdapter } from 'agentic-flow/reasoningbank';

const adapter = await createAgentDBAdapter({
  dbPath: '.agentdb/reasoningbank.db',
  enableLearning: true,
  enableReasoning: true,
});

// Start trajectory tracking
await adapter.startTrajectory({
  task: 'Implement user authentication',
  context: { language: 'typescript' }
});

// Record action and outcome
await adapter.recordAction({
  action: 'create_jwt_middleware',
  result: 'success',
  reward: 0.9
});

// Finalize trajectory
await adapter.finalizeTrajectory({ success: true, score: 0.92 });

Four Reasoning Modules

PatternMatcher - Find similar successful patterns using diversity-aware HNSW retrieval
ContextSynthesizer - Generate coherent narratives from multiple memory sources
MemoryOptimizer - Automatically consolidate and remove low-quality patterns
ExperienceCurator - Filter memories by quality thresholds

Backward Compatibility

Full compatibility with legacy ReasoningBank APIs - AgentDB backend used automatically.

Migration from Legacy

# Migrate existing ReasoningBank data
npx agentdb@latest migrate --source .swarm/memory.db --dest .agentdb/reasoningbank.db

Performance

Pattern retrieval: 150x faster
Batch operations: 500x faster
Memory access: <1ms

Install ReasoningBank with AgentDB and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "wiktorskrabel89-byte-assistantx-reasoningbank-agentdb", "kind": "skill", "name": "ReasoningBank with AgentDB", "description": "Implement adaptive learning for AI agents using AgentDB's vector database backend for trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, implementing reinforcement learning patterns, or migrating from legacy ReasoningBank to AgentDB.", "publisher": "wiktorskrabel89-byte", "version": "1.0.0", "capabilities": { "domains": [ "general" ], "tags": [ "skill-md", "github" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Implement adaptive learning for AI agents using AgentDB's vector database backend for trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, implementing reinforcement learning patterns, or migrating from legacy ReasoningBank to AgentDB." ], "primary": false, "metadata": { "source": { "provider": "github", "repository": "https://github.com/wiktorskrabel89-byte/Assistantx", "path": ".claude/skills/reasoningbank-agentdb/SKILL.md", "ref": "c102d8ae6a128633e05ec81ddf49b2f4001286c1", "url": "https://github.com/wiktorskrabel89-byte/Assistantx/blob/c102d8ae6a128633e05ec81ddf49b2f4001286c1/.claude/skills/reasoningbank-agentdb/SKILL.md", "key": "wiktorskrabel89-byte/Assistantx/.claude/skills/reasoningbank-agentdb/SKILL.md" } }, "instructions": "# ReasoningBank with AgentDB\n\nImplement adaptive learning for AI agents with 150x faster pattern retrieval, 500x faster batch operations, and <1ms memory access.\n\n## Prerequisites\n\n- Node.js 18+\n- AgentDB v1.0.7+\n- agentic-flow installed\n\n## Quick Start\n\n```typescript\nimport { createAgentDBAdapter } from 'agentic-flow/reasoningbank';\n\nconst adapter = await createAgentDBAdapter({\n dbPath: '.agentdb/reasoningbank.db',\n enableLearning: true,\n enableReasoning: true,\n});\n\n// Start trajectory tracking\nawait adapter.startTrajectory({\n task: 'Implement user authentication',\n context: { language: ", "cost": { "context_tokens": 396 } }

ReasoningBank with AgentDB

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