ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
Profile →npx skills add ruvnet/ruflo --skill reasoningbank-agentdb --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# ReasoningBank with AgentDB ## What This Skill Does Provides ReasoningBank adaptive learning patterns using AgentDB's high-performance backend (150x-12,500x faster). Enables agents to learn from experiences, judge outcomes, distill memories, and improve decision-making over time with 100% backward compatibility. **Performance**: 150x faster pattern retrieval, 500x faster batch operations, <1ms memory access. ## Prerequisites - Node.js 18+ - AgentDB v1.0.7+ (via agentic-flow) - Understanding of reinforcement learning concepts (optional) --- ## Quick Start with CLI ### Initialize ReasoningBank Database ```bash # Initialize AgentDB for ReasoningBank npx agentdb@latest init ./.agentdb$reasoningbank.db --dimension 1536 # Start MCP server for Claude Code integration npx agentdb@latest mcp claude mcp add agentdb npx agentdb@latest mcp ``` ### Migrate from Legacy ReasoningBank ```bash # Automatic migration with validation npx agentdb@latest migrate --source .swarm$memory.db # Verify migration npx agentdb@latest stats ./.agentdb$reasoningbank.db ``` --- ## Quick Start with API ```typescript import { createAgentDBAdapter, computeEmbedding } from 'agentic-flow$reasoningbank'; // Initialize R
- What This Skill Does
- Prerequisites
- Quick Start with CLI
- Initialize ReasoningBank Database
- Migrate from Legacy ReasoningBank
- Quick Start with API
- Core ReasoningBank Concepts
- 1. Trajectory Tracking
- 2. Verdict Judgment
- 3. Memory Distillation
- Integration with Reasoning Agents
- 1. PatternMatcher
- 2. ContextSynthesizer
- 3. MemoryOptimizer
Initialize AgentDB for ReasoningBank npx agentdb@latest init ./.agentdb$reasoningbank.db --dimension 1536 Start MCP server for Claude Code integration npx agentdb@latest mcp claude mcp add agentdb npx agentdb@latest mcp Automatic migration with validation npx agentdb@latest migrate --source .swarm$memory.db Verify migration npx agentdb@latest stats ./.agentdb$reasoningbank.db Export trajectories and patterns
What does the ReasoningBank with AgentDB skill do?
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
How do I install it?
Run `npx skills add ruvnet/ruflo --skill reasoningbank-agentdb --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.