What is AI agent memory?
The state an agent carries between runs — decisions, constraints, preferences, and outcomes — and the operations that keep it correct over time.
Read the answerGuides
Straight answers about agent memory.
Short reference pages for the questions that come up before a team commits to a memory layer. Each one answers the question first and explains the mechanism second.
Questions
Start with whichever one you are actually asking.
Why isn’t vector memory enough?
Similarity search retrieves text that looks related. It cannot tell you who wrote a fact, whether it was verified, what it contradicts, or how to undo it.
Read the answerWhat is an MCP memory server?
A Model Context Protocol server that exposes memory operations as tools, so any MCP-capable client can commit and recall state without custom glue code.
Read the answerHow do you roll back an agent memory write?
Snapshot before a risky run, inspect the diff afterward, and roll back the known-bad state instead of hand-cleaning rows.
Read the answerHow do you audit what an agent remembered?
Keep the operational record attached to the write — which run, tool, or operator produced it, and what it replaced.
Read the answerSee it in the client you already use.
Bilinc connects through MCP, the Python SDK, or the CLI. The integration guides cover Claude Code, Codex, Cursor, opencode, and any MCP-capable runtime.
Or start from the workflow.
Coding agents, research agents, stateful product agents, shared team memory, and incident recovery each hit the memory problem from a different direction.