Remory: Learning Residual Memory for Context Compaction
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Updated
Oct 22, 2026 - Python
Remory: Learning Residual Memory for Context Compaction
1207 public resources for Jev, TypeSafe AI's System One decision model, indexed by decision pattern. Source citations, dated link checks and scheduled call-site text checks; runtime and performance are not independently tested here. EN/中文, JSON schema and platform compatibility.
Pre-compaction hooks + a CAS-guarded task pointer that keep Codex agents on-goal across context auto-compaction — no mainline drift, no duplicate work, no conflicting progress in long runs.
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。
Hermes Agent context engine: the main model writes the compaction handoff on its cached prompt prefix
Claude Code harness and alternative to context compaction: at 80% context it writes a verified capsule, runs /clear and resumes with persistent memory in git. Long-running and multi-agent Claude Code sessions, auto clear instead of auto-compact. MIT, local, Node 18+. Codex adapter.
TypeScript CLI: extract any coding-agent session (Claude Code, Codex, Pi) into a compact, verified, provenance-linked handoff another agent can continue from.
Compact Codex at useful work transitions, then continue safely.
The ops layer for running Claude Code and Codex all day on a Mac: subscription-first routing with overflow to GLM/OpenRouter/Bedrock, pauseless compaction, session coordination and handover across parallel sessions, lid-shut keep-awake with automatic hotspot join for Remote Control, and a dashboard for cost, health and guards.
A local GUI workaround for Codex Desktop conversations stuck on automatic context compaction.
JEV-guided context compaction for OpenCode. Prune stale tool history instead of rewriting conversations with an LLM.
Gobstopper is an intelligent compaction proxy for Claude Code and Codex. It compacts more often, keeps history local, and cut tokens 29% on Terminal-Bench 2.1.
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.
Cache-friendly context compaction for OpenCode: summarize by append, then cut the outgoing context.
Aggressive context compaction for local-first agents. Runs Qwen3.8‑27B on self‑hosted llama.cpp at low context, shrinking history so the live prompt stays small, fast, and private—delivering a big‑window experience without API cost or data egress. 面向本地的激进上下文压缩插件。自托管 llama.cpp 低上下文运行 Qwen3.8‑27B,不断收缩历史、保持常驻 prompt 小而快,兼顾隐私与大窗口体验,零 API 成本、数据不出本机。
DeepSeek Harness 的上下文压缩插件
GenPark AI Agent Skill - Streaming attention sink preserver and FIFO sliding-window KV cache eviction manager for infinite-context agent loops.
/fc for Claude Code: shrink old tool output in about a second — Jev keeps what's still needed, every cut saved to a file. Your /compact stays untouched.
GenPark AI Agent Skill - Streaming attention sink preserver and FIFO sliding-window KV cache eviction manager for infinite-context agent loops.
Model-invocable context compaction for DeepSeek Harness: mind_map and clear_mind agent tools turn selected history into self-written checkpoints, with auditable GUI tombstones and proactive threshold reminders.
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