Stop stuffing tool outputs into the context window. MemoSift gives your agent durable memory, cost control, and accurate recall — with four lines of code.
Every tool result — file read, grep hit, test output — gets stuffed back into the model, blowing through the context window by turn 40.
MemoSift intercepts tool outputs, compresses to a handle, and recalls only the lines the agent asks for.
Users return six weeks later. The assistant has forgotten their project, style, and stated preferences — or worse, hallucinates them.
Durable entity graph keyed to the user. Preferences, facts, and past decisions re-enter context on relevance, not recency.
Support tickets reopen. The agent restarts from zero, asking the same three questions — or retrieves stale vector chunks and gives a wrong answer.
Per-user memory indexed by account. Past tickets, product context, and resolved answers surface automatically on re-entry.
A regulated workflow needs every tool output (file reads, API responses, DB queries) scanned for PII and secrets before it's appended to the prompt — without sending content to a third party.
Run scan(content, mode=SecurityMode.REDACT) inside your tool wrapper. Mode A is local-only — no cloud, no API key.
A support agent handles dozens of customer threads per day. Each thread should remember previous interactions: tickets opened, decisions made, errors hit.
Call ms.track(messages, session_id=...) after every turn. Use ms.recall(query, session_id=...) at the start of new sessions to pull in prior context.
Left: every tool output stuffed into context. Right: the same agent with MemoSift. By turn five, the vanilla agent has blown its window and writes an invalid patch.
read_file('src/auth/login.ts')read_file('src/auth/login.ts') → handle h.1Cumulative 12-month cost at three operating scales. MemoSift's setup cost is paid back before you've finished onboarding the team.