TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management
Long-horizon LLM sessions outlive their context windows, and the standard mitigations - truncation, summarization, retrieval - share a structural flaw: they treat history as flat text, discarding precisely the content that makes a session resumable: decisions and their rationales, task status, and file modification history. We present TokenMizer, an open-source transparent proxy that maintains session history as a typed knowledge graph and, at context boundaries, replaces the raw transcript with a token-budgeted serialization of session state. The schema comprises 14 node types and 7 edge types under an 8-state lifecycle in which decisions can be superseded or explicitly invalidated; bite...
| Authors | Shweta Mishra |
|---|---|
| Primary category | cs.AI |
| Published | 4 June 2026 |
| Last updated at source | 3 July 2026 |
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