Zero Code Studio 是一个工程化 AI 代码生成平台，基于 Spring Boot、LangChain4j、LangGraph4j，支持工具调用、Workflow 编排、任务计划规划、三层上下文压缩、SSE 过程可视化、定点修改与一键本地部署。

A local GUI workaround for Codex Desktop conversations stuck on automatic context compaction.

Six in-process middlewares for OpenClaw: HITL approvals, prompt-injection guardrails, PII redaction, tool-call budgets, context compaction, and complexity-aware model routing. Zero telemetry, all state local.

Substrate-based context compaction for Claude Code. Inspectable signal weights, local-only, MCP-ready. Alternative to /compact + hook-based capture (claude-mem, etc.).

Codex-derived source release for an opt-in session compact route that preserves durable handoff state across repeated compactions.

Zero context compaction for Claude Code & LLM agents. Persistent memory powered by OS primitives (demand paging, kswapd eviction, mlock pinning). Single SQLite file, MCP-native, multi-agent shared.

Patch Claude Code to use the FlashHash method for compaction -- 1mtok > 50ktok compaction in <10s with perfect context preservation on the cheapest 1M-context model.

Save Token Usage on Unstructured Document 😎. Let agent read docs, memories, prompts with in ultra-compressed mode through a tiny local model.

Keep Codex long tasks running while you sleep: local compact/context recovery with audited bundles and safe one-relay handoffs.

We measure whether an indirect prompt injection buried earlier in a conversation survives an LLM-driven context compaction step (the mechanism production agent platforms use to summarize long conversation histories and discard the original turns), and whether it retains behavioral force afterwards. Across 994 trials over three open-weight summarize

OpenAI Codex skill to recover stuck threads after responses/compact, stream disconnected, and reconnecting 5/5 failures.

LLM context compaction isn't linear. Early compactions can improve output, thresholds vary by model. Tool to find your model's sweet spot. MIT.

Persistent task memory for Claude Code. Claude remembers what it was doing and why, so you never have to re-explain yourself.