Agents forget what they learned the moment a session ends, or scribble notes into files you cannot see or trust. Give your agent a memory that lasts and that you govern.
Most agents either forget everything between sessions or keep notes in local files. Either way, useful knowledge gets lost, goes stale, or drifts out of your view.
Your agent starts over each time. It repeats questions and loses the context you already gave it.
When it does keep notes, they sit in scattered local files you do not see and cannot trust.
Whatever the agent decided to remember is what it remembers, right or wrong, with no review.
Your agent remembers across sessions and tools, and finds the right memory by meaning rather than exact words. You review what it wants to keep, and the facts you set always come through.
What the agent learns carries forward, and travels with it wherever it works.
Your agent surfaces the right memory by what you mean, not just matching words.
Review what the agent wants to keep, set the facts that always apply, and remove anything, anytime.
Your agent starts over every session, or keeps notes in scattered local files. It repeats questions, loses context, and you have no say in what it saved.
Notes in a file are not reviewed, not shared, and can say anything.
Your agent remembers across sessions and tools, and finds the right memory by meaning, not just exact words. You review what it wants to keep, and the facts you set always come through.
Approve, edit, or remove what your agent remembers, anytime. It travels with the agent everywhere it works.
When memory lasts and you control it, your agent gets more useful over time instead of starting from zero.
Tell your agent how you like things once, and it remembers, across every session and tool.
What the agent learns about your work stays available, so it picks up where it left off.
Set facts that apply to all your agents, so they all work from the same ground truth.
Review and prune what is kept, so memory stays accurate instead of piling up.
Set up an agent and watch it remember what matters, with you in control of every entry.
Your agents need keys for Stripe, GitHub, and the rest. Share each one once, and your agent uses it without ever seeing it. Every use is single-shot, short-lived, and recorded.
GuardrailsSet guardrails your agent follows.A clever prompt can talk an agent into deleting data, running a risky install, or touching production. Set the rules once, and your agent follows them on every step.
AccountabilityProve what every agent did.When agents run real work, you need a clear answer to a simple question. Did the agent change that, leak that, or spend that, and which agent was it?