Shared memory for
you and your AI
Every conversation starts from scratch. When platforms add memory, it's a black box you can't see or control. Atomic is different — a shared knowledge base where both you and your agents read and write. You stay in control.
A feedback loop, not a black box
Both you and your AI agents contribute to the same knowledge base. What one writes, the other can find.
Your agents remember
They store what they learn via MCP. Preferences, decisions, project context — anything worth retaining across conversations. Knowledge accumulates automatically.
You curate
See everything your agents stored. Edit, organize, add your own knowledge. Shape what they know. You're not monitoring a black box — you're actively shaping your agent's context.
One knowledge base, two contributors
Agents search before answering. You browse and enrich. Both sides draw from the same source — what one writes, the other can find.
Four tools. That's the entire API.
Atomic exposes a minimal MCP surface. No bloat, no complexity. Agents get exactly what they need.
semantic_search Search memory for relevant knowledge before responding
read_atom Read the full content of a specific memory
create_atom Remember something new worth retaining
update_atom Revise existing knowledge when it's gone stale
Works with every MCP client
Standard Model Context Protocol over Streamable HTTP. Connect any agent that speaks MCP.
Your memory, your rules
See everything
Browse what your agents remember. Canvas view shows connections. Search finds anything.
Edit and enrich
Add notes, articles, and context your agents can discover. Curate what they've stored. Delete what doesn't belong.
Self-hosted
Runs on your machine or your server. Open source. Your data never leaves your infrastructure.
Give your AI agents
memory
Open source. Self-hosted. You stay in control.