Persistent, semantic memory for AI agents. Gives your AI long-term recall that survives compaction and session resets — 98% accuracy, 20ms latency.
AI Chief of Staff for solo businesses — inbox triage, task prioritization, revenue tracking, decision journals, opportunity scoring, and weekly reviews.
The complete autonomous agent stack for Claude Code — APEX cognitive framework, MEMORIA persistent memory, and ARCHITECT goal execution engine — bundled into...
Persistent memory for AI agents — search, record, and build knowledge across sessions using cortex-engine MCP tools
Use when users or OpenClaw/ClawHub agents need to install, configure, self-bootstrap, troubleshoot, or operate Mnemos for persistent scoped agent memory, or...
Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context acr
Continuous session event recording for inter-session memory survival. Use when you want to persist conversation context between sessions, prevent memory loss...
Persist agent state across crashes, context deaths, and restarts. Use when you need to save current context, restore after a crash, maintain a memory file ac...
Production-ready long-term memory server for AI agents with Ebbinghaus decay and strength-weighted retrieval. Use when you need persistent memory across agen...
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to rec
Persistent agent operating system for OpenClaw. Agents remember across sessions, learn from experience, coordinate on complex projects without duplicate work.
Enables OpenClaw agents to store, recall, update, list, and forget persistent hierarchical memories across sessions via the SQ protocol.
Test-driven behavioral verification for AI agents. Catches silent degradation when agent loads memory but doesn't apply learned behaviors. Use when building agent with persistent memory, testing after
Provides persistent two-tier memory with semantic fact search and raw content retrieval, plus automatic cleanup of temporary session files.
AI-native memory and orchestration system for OpenClaw. Transforms agents from stateless workers into structured orchestrators with persistent memory, behavi...
Use when: you chat across topics and want explicit boundaries to prevent topic bleed. Tags: [ISO], [SCOPE], [GLOBAL], [NOMEM], [REM]. (Memory tags are signal...
Persistent semantic memory layer for AI agents. Local-first storage (SQLite+LanceDB) with Ollama embeddings. Store and recall facts, decisions, preferences, events, relationships across sessions. Supp
Local persistent memory for OpenClaw agents. Captures conversations, extracts structured facts via LLM, and auto-recalls relevant knowledge before each turn....
Local, crash-safe persistent memory for OpenClaw agents. Replaces built-in memory-core with semantic search, projects, and scope-based access control. After...
Repair-first self-evolution for OpenClaw — audit logs, memory, and skills; run measurable mutation cycles. Get paid. Evolve. Repeat. Dolla dolla bill y'all.
Persistent, searchable context storage across Claude Code sessions using SQLite FTS5. Save sessions with AI-generated summaries, two-tier full-text search, checkpoint recovery, and a web dashboard.
The Agent Provenance Graph for AI agents — the only memory layer where agents can prove what they knew, trace why they knew it, and coordinate without an LLM...
Persistent memory and identity continuity for AI agents. Combines Second Brain (PROOF_OF_LIFE, daily logs, long-term MEMORY.md) with SOULS session lineage. E...
Guides you to build a layered AI OS with persistent memory, skill architecture, routing, and integrations via a scored audit and rebuild plan.