One shared memory across every AI platform. Claude, OpenClaw, and your custom agents all read and write to the same crash-proof memory — simultaneously. What one learns, they all remember. Switch platforms without losing a thing.
AI agents are stateless by default. Every session starts from zero.
Every restart, every crash, every context compaction — your agent wakes up blank. Decisions, preferences, work history, project context — all gone.
As your context fills up, older information gets compacted or discarded. Your agent progressively forgets what it was doing — mid-task.
Network timeout, process kill, power failure — whatever was in your agent's working memory is gone. No recovery, no rollback, no trail.
LangChain and LlamaIndex give you building blocks — not a solution. Mem0 is cloud-only SaaS. DIY means months of engineering. None are self-hosted, turnkey, and crash-proof.
Three independent, redundant storage systems ensure your agent's memory is truly crash-proof.
Every piece of knowledge your agent learns is converted into 768-dimensional vector embeddings and stored in Pinecone. Not keyword matching — true semantic understanding.
Your entire workspace is version-controlled with automatic commits and pushes. Every change is tracked, reversible, and recoverable from any machine.
Every significant decision your agent makes is captured as a structured JSON receipt — auto-generated, searchable, and permanently archived.
Triple redundancy: All three pillars store your agent's knowledge independently. Pinecone down? Git has it. Git down? Local receipts have it. All three would need to fail simultaneously to lose data — and we've had zero data loss incidents in production.
How your agent boots, works, survives compaction, and resurrects after crashes.
7-rule compliance gate. Verifies agent identity, loads prior state from vector memory, checks connectivity, confirms health. Agent cannot proceed until all checks pass.
Semantic search for the agent's last session state. Reconstructs working context from receipts, captain's log, and vector memory. Picks up exactly where it left off.
Agent works normally. Background event loop syncs every 10 minutes — capturing receipts, indexing new knowledge, pushing to git. Zero manual intervention.
Before the context window compacts, GoldHold extracts the agent's working state and persists it to all three pillars. Critical state is saved before anything is lost.
Context compaction runs — but it doesn't matter. All state was already flushed. The compacted context includes a resume directive pointing back to persisted state.
After any crash, restart, or compaction: Déjà Vu detects the discontinuity and reconstructs full agent state from vector memory, git history, and decision receipts. Automatic.
The result: Your agent is functionally immortal. Crash it, kill it, wipe the disk — it comes back with full context. That's session resurrection.
GoldHold doesn't just store memory — it actively monitors and repairs itself.
Continuous monitoring of vector DB connectivity, git sync status, receipt integrity, embedding quality, namespace health, disk space, and more.
Background event loop watcher auto-syncs every 10 minutes. New receipts indexed, workspace changes committed, health checks run — all without agent intervention.
Dropped Pinecone connection? Auto-reconnect. Stale git remote? Auto-push. Corrupted receipt? Auto-repair. Problems are fixed before you notice them.
Everything your AI agent needs for true persistent memory.
Agent picks up exactly where it left off. Every session, every restart, every machine.
Automatic state reconstruction after crashes, kills, or power failures. No data loss.
Dramatically reduce token usage by querying vector memory instead of stuffing context.
Multi-agent namespace isolation. Boss/worker architectures with controlled access.
Chronological work diary — searchable, indexed, and auto-synced across sessions.
Agent personality, rules, and behavior persist and evolve across sessions.
Smart loading — only pull what's relevant from memory. Maximize usable context.
Auto-syncs git, indexes receipts, runs health checks — every 10 minutes, silently.
The only turnkey, self-hosted, crash-proof AI agent memory system.
| Feature | GoldHold | Mem0 | LangChain | LlamaIndex | DIY |
|---|---|---|---|---|---|
| Self-hosted | ✓ | ✗ | ✓ | ✓ | ✓ |
| Turnkey (works out of box) | ✓ | ✓ | ✗ | ✗ | ✗ |
| Crash recovery | Déjà Vu | ✗ | ✗ | ✗ | Build it |
| Health monitoring | 13-point | ✗ | ✗ | ✗ | Build it |
| Auto-remediation | ✓ | ✗ | ✗ | ✗ | Build it |
| Decision receipt system | ✓ | ✗ | ✗ | ✗ | Build it |
| Git-backed persistence | Auto | ✗ | ✗ | ✗ | Build it |
| Pre-compaction flush | ✓ | ✗ | ✗ | ✗ | Build it |
| Semantic vector search | ✓ | ✓ | ✓ | ✓ | Build it |
| Background event loop sync | 10 min | ✗ | ✗ | ✗ | Build it |
Comparison based on publicly available documentation as of February 2026.
Everything developers ask about persistent AI agent memory.
python setup.py, connect your free Pinecone account, and your agent immediately gains crash-proof semantic memory. It persists across restarts, context compaction, and total system wipes. No infrastructure to manage — takes about 5 minutes.python setup.py in your OpenClaw workspace. Enter your Pinecone API key and the installer automatically patches your SOUL.md, AGENTS.md, and HEARTBEAT files with memory commands. Your OpenClaw agent immediately gains persistent semantic memory, decision receipts, health monitoring, and crash recovery.5 minutes to install. Zero infrastructure. Session resurrection built in.