We're excited to announce the upcoming $CLUDE Rewards Program, designed to recognize and reward our dedicated community members.
Paste anything, or pick a sample. A regular context window degrades into shards. Clude's typed memory keeps the facts and entities — even as detail decays.
One memory layer, four touchpoints. Each backed by the same typed, decaying, cite-able store.
Stop pasting the same context into ChatGPT, Claude, and Cursor. Clude's hybrid recall connects context across documents, conversations, and code in a single query.
Every answer cites the memories it came from — the meeting, the ticket, the runbook. Trust isn't a vibe; it's a footnote.
The part you mentioned appears to be from an earlier version. Based on the March 4 dev team meeting1, support ticket #3842, and the operations runbook3, the issue has already been resolved.
Explanations and decisions you'll need again get typed, dated, and stored. Importance and decay keep them ranked over time — not lost in a thread.
Memory packs are portable. Export from one agent, import into another. People change, tools change; the context survives.
A chat app for the rest of us — plug in Claude, GPT, Gemini, Llama, Mistral, or any local model. Clude memory is shared across every conversation.
Switch models mid-thread. Bring your own API keys, use our hosted proxy, or run open source models locally. Whatever you pick, the context comes with it — Clude memory threads through every response, with cited sources from your real work.
Memory isn't a feature on top of LLMs — it's the missing layer underneath them.
Small phrasing shifts shouldn't reshape what the model knows. Memory normalizes across queries.
Criteria, constraints, and decisions stay typed and dated — never re-pasted into a prompt.
ChatGPT, Claude, Cursor — all read from the same memory. No more parallel briefings.
Docs alone aren't enough. Chats and commits matter too. Clude bonds them across types.
A good answer becomes a memory, not a thread you'll search for in three weeks.
Hand them a memory pack. Decisions, runbooks, and context — already typed.
Sources flow in, agents read out. Need something missing? Request integration ↗
Internal-search tools answer queries. Memory APIs hand devs primitives. Clude is the cognitive layer agents read from.
Not all information is stored the same. Frequently used and important memories stay clearer; older or contradicted information is deprioritized — so the AI uses more accurate context, not just more context.
episodic 7%/day · semantic 2%/day · procedural 3%/day · self-model 1%/day
Vector search alone misses the point. Clude's engine combines keywords, meaning, relationships, and timing — modeled after how human memory actually retrieves — to find the conversations, documents, and decisions you need.
local-first · SQLite + WAL · 0.04ms p50 · zero network
Open source. No API keys required, no network dependency, full semantic search offline. One install, every agent.
