TokenPilot and Ctx: Cache-Efficient Context Management
Key Questions
What is TokenPilot?
TokenPilot is a paper that introduces cache-efficient context management techniques for persistent AI agents. It is complemented by the practical Ctx tool, which enables token savings through selective tool loading.
How does the token-savior MCP server optimize performance?
The token-savior MCP server achieves 97.9% tsbench scores while reducing tokens by 80% using Bash compaction and memory hooks in version 4.3.0 with 34 compactors and hybrid mode. It is still under development and targets long-running agent optimization.
What is PACMS in relation to OpenClaw?
PACMS is a context engine designed for OpenClaw that supports efficient context management. It works alongside TokenPilot and Ctx for persistent agent workflows.
TokenPilot paper introduces cache-efficient context management for persistent agents; practical tool Ctx offers token savings via selective tool loading. Complemented by PACMS context engine for OpenClaw. token-savior MCP server achieves 97.9% tsbench at -80% tokens via Bash compaction and memory hooks (v4.3.0, 34 compactors, hybrid mode). New: Second Brain v2 adds auto-linking knowledge graph, multi-hop recall, and state management (canonical/draft/deprecated), self-hosted on Cloudflare free tier, MCP-compatible. Claude Code wastes ~26k more tokens per request than OpenCode before processing prompt, highlighting efficiency gaps. Still developing, with high interest for optimizing long-running agents.