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Use cases

Each page answers one question people and agents ask when they look for a tool: what Loom does for that need and where to start.

Need Page
Long-term and shared memory for AI agents (an MCP memory server) Agent memory
Knowledge and document search for agents (RAG) Document search
A code index and code intelligence for coding agents Code index
What the code index gives per language (C++, Python, TypeScript, Go, Rust, Java) Code index by language
Lower model cost for coding agents Coding-agent cost
Shared context between agents in a multi-agent workflow Multi-agent
Memory, recall, audit and erasure for autonomous agents Autonomous agents
Agent runs, traces, tracker and PR history Runs and PR history
Self-hosted agent memory on ClickHouse, with Docker or Kubernetes Self-hosted on ClickHouse

When Loom does not fit lists the needs another tool serves better.