Context Compaction Kills
Claude Code compacts. Codex resets. Your hard-won context vanishes.
[ MEMORY CRYSTAL ]
Persistent semantic memory for OpenClaw, Claude Code, and Codex. Never lose context when compacting.
[ THE PROBLEM ]
No matter how smart your model gets, compaction still erases the thread.
Claude Code compacts. Codex resets. Your hard-won context vanishes.
Your AI knows nothing about past decisions, preferences, or work.
Explaining the same architecture choices, preferences, and constraints. Again.
[ HOW IT WORKS ]
Every message, decision, fact automatically extracted and stored.
Semantic indexing, spreading activation builds memory connections.
Relevant memories surface before you ask. Context always available.
[ SUPPORTED PLATFORMS ]
Native plugin, deepest integration. Wake briefings, auto-capture.
MCP server. Persistent memory across compactions. Never lose context.
MCP server. Full memory layer for your coding agent.
More integrations coming. Any MCP-compatible agent supported.
[ WHAT YOU GET ]
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Find anything by meaning, not keywords
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Related memories surface automatically
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Episodic, semantic, procedural, prospective, sensory
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Typed entities, relations, graph traversal (Ultra)
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Session kickoffs with your most relevant context
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Human-readable vault, always in sync (Pro+)
[ PRICING ]
$0 forever
$20/mo
$100/mo
[ ROADMAP ]
Q1 2026 — Launch: OpenClaw, Claude Code, Codex. 3 tiers.
Q2 2026 — Memory Caching: warm cache of top memories per session (like prompt caching, for memory)
Q3 2026 — True Knowledge Graph: entity resolution, relation inference, graph queries
Q4 2026 — Team Memory: shared memory spaces across agents and users
2027 — Memory Marketplace: share skill packs, policy packs, persona bundles