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MemGPT: virtual memory for limited contexts

简体中文

Implements core, working, and archival state. Working-context pressure triggers an interrupt and page-out, with page-in on later tasks.

Paper information

Field Details
Paper MemGPT: Towards LLMs as Operating Systems
Organization University of California, Berkeley
First public release 2023-10-12
Authors' code The authors' public code, now Letta.
Adapter / method memgpt
Local reproduction code src/auto_research/agent_research/

Original paper

Motivation and method

Limited context windows forget information in long documents and conversations. MemGPT borrows operating-system virtual memory: resident core information, active working context, and an external archive. Function calls move data, and interrupts or heartbeats control continued reasoning and interaction with the user.

flowchart LR
    U["User or document stream"] --> W["Working context"]
    C["Core memory"] <--> W
    W --> I{"Context pressure interrupt"}
    I --> A["Archival memory"]
    A --> P["Retrieve and page in"]
    P --> W

Key figure from the paper

MemGPT: virtual memory for limited contexts — Figure 3

Figure 3: Overview of the paper's method and key components. From the original paper; copyright remains with the authors.

Core equations

\[ \text{if }|W_t|>B:\quad A_{t+1}=A_t\cup\operatorname{pageout}(W_t),\qquad W_{t+1}\leftarrow\operatorname{pagein}(q,A_{t+1}). \]

Paper results

Document analysis beyond the base-model window and multi-session conversations compare fixed-context and retrieval baselines, showing persistent memory and dynamic reflection. No production online A/B is reported.

Local reproduction

EvoMem mini, 120 episodes, seed 42, memory size 24. Working memory uses half the capacity; pressure triggers page-out and repeated tasks page in from archival memory.

Metric Long-context baseline MemGPT
Joint success 1.0000 1.0000
Average cost 64.5000 0.9200
Archival writes / page-ins / interrupts 0 / 0 / 0 108 / 96 / 108
auto-research agent-eval --method memgpt --benchmark evomem-mini \
  --episodes 120 --memory-size 24 --seed 42

See the stable metrics.

Reproduction boundaries

Implements memory tiers, page-in/out, and interrupt counts. Archival retrieval uses deterministic keys, not embedding services or LLM function calling. Cost is the shared proxy cost, not tokens or online latency.