Over
files, workspaces, and memories created
Dynamic self-optimising memory.
Managed for you.
Add memories.
Store facts, preferences, events. Anything you learn about a user. We dynamically update holistic understanding and memories.
Search semantically.
Find relevant memories by meaning, not just keywords.
Get context.
One call returns everything relevant for a task, formatted and ready for your prompt.
We handle extraction, indexing, relevance scoring, and accurate meaningful retrieval.
You focus on building.
Problem
Agents can't remember anything.
Your agent forgets everything between sessions.
Users repeat themselves. Your copilot suggests the same rejected patterns. Support bots ask questions they've already been answered. You try storing conversation logs and running vector search, but it falls apart with conflicting facts, stale context, and noise.
Memory is harder than it looks.
Solution
Memory that actually works
RAG finds documents similar to a query. Memory understands users.
Fabric Memory isn't just storage and retrieval. It tracks relationships, handles contradictions, and evolves over time.
When a user says "I love Adidas" in January, then "my Adidas broke, terrible quality" in February, then "I'm switching to Nike" in March, a vector database might still surface that first statement.
Fabric Memory knows the relationship changed.
Datapoint
Semantic search built in. Shown to improve agent accuracy by 12.5%*
Memory that improves accuracy
Memory isn't just about personalization. It's about reliability.
Agents hallucinate when they lack context. They make up facts, forget constraints, ignore preferences the user already stated. Memory grounds your agent in what actually happened.
Fabric Memory updates continuously as new information comes in. Contradictions get resolved. Stale context gets refreshed. Your agent stays accurate, not just personalized.
28% fewer hallucinations when agents have access to reliable memory and context.*
*Based on research into context-augmented AI systems.
Works with everything
Model-agnostic. Framework-agnostic.
SDKs
Python and JavaScript clients. Or call the REST API directly.
CLI
Use Fabric from the command line. Works with Claude Code, shell scripts, or anywhere you can run a terminal.
MCP support
Connect to Claude Desktop, Cursor, Windsurf, Continue, and any MCP-compatible tool.
Ready for scale
Fast
Sub-300ms retrieval. Infrastructure that won't slow your agent down.
Secure
Encrypted in transit (SSL) and at rest (AES-256).
CASA certified.
Reliable
99.9% uptime. Built on Fabric's consumer-grade scaled infrastructure.