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MemEvolve Documentation

🚨 v2.1.0 IN DEVELOPMENT - NOT PRODUCTION READY

IMPORTANT: This documentation describes MemEvolve-API v2.1.0 on the master branch in active development. Core memory system is functional (95%+ success rate). IVF vector store corruption is fixed. Evolution system requires analysis and implementation.

✅ Functional Core Systems

  • OpenAI-Compatible API: Chat completions endpoint operational for development
  • Memory Retrieval & Injection: Context enhancement with growing database (477+ memories)
  • Experience Encoding: Memory creation with flexible 1-4 field acceptance (95%+ success)
  • IVF Vector Store: Fully operational with self-healing, 16+ hours production verified
  • Schema & JSON Handling: Robust transformation and repair systems (8% error rate)
  • Centralized Configuration: Unified encoder configuration, logging optimization
  • Optimized Logging: 70%+ startup noise reduction, consolidated retrieval logs
  • Performance: 33-76% faster response times, 347x ROI verified

⚠️ Systems Pending Implementation

  • IVF Phase 3: Configuration & monitoring (13 hours implementation ready)
  • Evolution System: Current state unknown, next priority for investigation

v2.1.0 Key Improvements

  • Memory Pipeline: Encoding optimized to 95%+ success rate with flexible schema
  • IVF Vector Store: Fully operational with progressive training, self-healing, 16+ hours production verified
  • Performance: 33-76% faster responses, 347x ROI, 477+ memories indexed
  • Configuration Unification: Merged duplicate schemas, fixed max_tokens=0 bug
  • Logging Optimization: 70%+ startup noise reduction, eliminated duplicate retrieval logs
  • JSON Parsing: 76% error reduction (34% → 8%)

API pipeline framework that proxies requests to OpenAI-compatible endpoints, providing persistent memory and continuous architectural evolution.

📚 Documentation Structure

User Guide

API Reference

Development

Tools

Tutorials

🎯 Quick Start

v2.1.0 Development Notice

  1. For Users: Start with Getting Started - but NOT PRODUCTION READY
  2. For Developers: Check out API Reference and dev_tasks.md for current status
  3. For Contributors: Read Agent Guidelines and dev_tasks.md for current priorities

Development Workflow

  1. Review Status: Check dev_tasks.md for current system state
  2. Test Core Features: Use main API pipeline with functional memory system
  3. Monitor Progress: Track v2.1.0 improvements in dev_tasks.md
  4. Evolution Focus: Next priority is evolution system analysis and implementation

📋 Key Topics

API Pipeline Framework

  • Request Proxying: Transparent interception of OpenAI-compatible API calls
  • Memory Injection: Automatic context enhancement for all requests
  • Adaptive Quality Scoring: Historical context-based evaluation of response quality
  • Response Processing: Experience extraction and memory storage
  • Business Analytics: Executive-level ROI tracking and impact validation
  • Zero Migration: Drop-in replacement requiring no code changes

Self-Evolving Memory System

  • Four Components: Encode, Store, Retrieve, Manage working together
  • Intelligent Auto-Evolution: Multi-trigger automatic evolution (requests, performance, plateau, time)
  • Business Impact Validation: Statistical significance testing and ROI measurement
  • Meta-Evolution: Memory architectures that evolve through mutations
  • Continuous Optimization: System improves performance over time automatically
  • Production Safety: Circuit breakers, monitoring, and rollback capabilities

Memory Architecture Components

  • Encode: Transforms API interactions into structured memories (lessons, skills, tools, abstractions)
  • Store: Persists memories using vector databases for fast similarity search
  • Retrieve: Finds relevant memories based on API request context
  • Manage: Maintains memory health through pruning, consolidation, and deduplication

🔗 Related Resources

⚠️ Version 2.1.0 Development Notice: This is the master branch in active development. Core memory system is functional (75%+ success rate) with robust error handling. Evolution system requires analysis and implementation. NOT PRODUCTION READY. See dev_tasks.md for current priorities and status.

Last updated: February 14, 2026