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OpenClaw Hybrid Memory
Home
Getting Started
Quick Start
Scenarios & benefits
Autonomous Setup
Configuration
LLMs and Providers
Examples & Recipes
Architecture & Internals
Architecture
Architecture Center
How It Works
Memory Protocol
Deep Dive
Goal Stewardship: Design & Gap Analysis
Features
Features Overview
Multilingual Language Keywords
Credential Vault
Session Distillation
Graph-Based Spreading Activation
WAL Crash Resilience
Reflection Layer
Conflicting Memories
Automatic Categories
Dynamic Derived Data
Decay and Pruning
Auto-Tagging
Persona Proposals
Memory Scoping
Memory Tiering
Search improvements (RRF, ingest-files, query expansion)
Dynamic Salience
Operations & Maintenance
CLI Reference
Operations
Uninstall
Upgrade OpenClaw
Upgrade Plugin
Backup
Maintenance
Troubleshooting
FAQ
Analysis & Planning
Model-Agnostic Analysis
Credits & attribution
ACTIVE-TASKS.md projection (facts ledger)
Advanced Capabilities
Auto-Recall on Authentication Failures
Azure OpenAI (Foundry) — chat/completion
Configuration Modes
Error Reporting (GlitchTip/Sentry Integration)
Features and model tiers
Goal stewardship — audit playbook
Goal stewardship — operator guide
Hybrid Memory — Phases Roadmap
Interactive recall latency (FTS) and session context
Maintenance tasks: when they run
Multi-language support
OpenClaw loader coordination (issue #1111)
Procedural Memory — Auto-Generated Skills from Learned Patterns
Public API Surface (Issue #1027)
Release notes — OpenClaw Hybrid Memory 2026.3.150
Release notes — OpenClaw Hybrid Memory 2026.3.180
Release notes — OpenClaw Hybrid Memory 2026.3.181
Retrieval Modes
Self-Correction Analysis Pipeline
Self-Correction Analysis — Status & Implementation Plan
Task hygiene (ACTIVE-TASKS.md)
Trust and Privacy
“tool_use ids without tool_result” error
Search OpenClaw Hybrid Memory
GitHub
Analysis & Planning
Model compatibility analysis and feedback roadmap for future improvements.
Table of contents
Model-Agnostic Analysis