Engram

Shared memory for AI agents

Give every agent the same durable team knowledge across sessions, tools, repositories, and teammates.

Claude Code
Cursor
Codex
Gemini
Antigravity
Copilot
Private memory first. Public knowledge fills the gaps.

Across models, tools, and teammates.

One brain. All your agents.

Your team uses different AI tools. Claude Code here, Cursor there, Gemini or Antigravity somewhere else. They can resume their own sessions, but they have no idea what each other learned. With Engram, they share a collective brain. What one discovers, all remember.

01

One agent stores the fix once. The whole workspace can recall it on the next decision.

02

Before the team rebuilds a known pattern, useful lessons flow in from other repos.

03

After context is compacted, decisions, open loops, and gotchas return with the work.

How It Works
01

Private Memory Bank

Your team's proprietary knowledge

02

Private memory first. Public knowledge fills the gaps.

Engram searches your workspace knowledge first, then adds source-aware public practices and guides when they help.

03

The only agent memory that gets smarter over time.

Every other tool stores and retrieves. Engram stores, retrieves, and learns. When a memory helps, its confidence goes up. When it does not, it goes down. Over time, the best knowledge rises to the top.

Private memory first. Public knowledge fills the gaps.

Engram searches your workspace knowledge first, then adds source-aware public practices and guides when they help.

Support Loop

Help us make Engram sharper

If setup is confusing, a tool behaves strangely, or a pricing limit feels wrong, send it here. The message lands directly with us.

Feedback

Tell us what is missing

Bugs, confusing setup steps, pricing questions, and product ideas go straight to the Engram team.

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