chipfighter/codex-attachment-manager
Codex plugin: choose which past images go to the model with your next message. Unchecked images become placeholders, the task goes on, and requests stay small.
A star delta has been computed for 62,252 of 63,107 tracked repositories in this period, and only those can be ranked in it.
A repository missing here has not been measured far enough back yet. That does not mean it did not move.
Star counts measured between 07:49 and 12:00 (BKK).
Codex plugin: choose which past images go to the model with your next message. Unchecked images become placeholders, the task goes on, and requests stay small.
Long image chats in Codex and Claude, without the lag. The model manages its own images, pulling back only what it needs, and any image you made before is one search away: just describe what you remember.
AI builder operating system. Turn Claude Code from a per-session tool into a workspace that remembers, maintains itself, and never goes stale. BASE = Builder's Automated State Engine.
Composable, view-based context for DeepSeek Harness. Pluggable sources and strategies, with layered memory and self-evolving skills out of the box.
The Context Platform for your Data and AI Stack
Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.
🧠 The memory that dreams — cross-session memory for DeepSeek Harness. Offline & private, auto-consolidates in its sleep (autoDream), visualized in a memory panel.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
天枢harness是一个的终端编程智能体，它要回答的核心问题是：模型何以稳定地交付——目标不漂移、完成有证据、验证有闭环，不说"应该修好了"。为此它在模型与真实世界之间建立一层认知执行环境（CVM），把目标、状态、证据、资源、权限与终止条件从对话历史中外部化，由运行时持续管理。同时对deepseek v4极度优化。
VCP 部署在 AI 模型 API 与前端应用之间，是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。
Project memory and workflows for Claude Code and Codex. Keep stories, plans, handovers, and review evidence in your repo. Resume across sessions and follow progress in the Mac app.
30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.
Claude Code mod: hands off to a fresh conversation when context fills up, keeps the cache warm while you're away, and turns what you teach Claude into project notes
Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.
Claude Code plugin that tracks token usage, identifies wasted context, and saves 30-50% on API costs. Heatmaps, ROI reports, budget alerts, efficiency scores, git-aware suggestions — all local, zero config.
Your AI never starts over. Lore keeps sessions coherent for days and millions of tokens — no lossy summary that wipes your file paths and decisions — and turns every session into compounding memory across tools, providers, and (soon) your team. No context files. No workflow changes.
Open-source cognitive coprocessor with active memory for AI agents — persistent recall, semantic search, overnight dreaming, verified facts, encrypted USB sync. MCP server; works with Claude, ChatGPT, and any local LLM. Built by one maker and his agents.
Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.
A model-driven harness for AI coding agents: semantic modeling, app generation, progressive API Assist and evidence-based verification.
SparseRead: token-efficient reading for AI agents. 读得更少，token 更省，证据不变。 Paper arXiv:2608.22237
The memory layer for AI-native development - giving AI persistent understanding of your software projects.
DeepSeek Harness（DSH）上下文管理与 token 优化插件：工具输出过滤、历史上下文裁剪、技能按需披露；离线回放请求载荷减少 30% 以上（按字符数）。
dsh-sieve: context engineering & token optimization plugin for DeepSeek Harness (DSH) — tool output filtering, context pruning, progressive skill disclosure. 36% smaller payload in offline replay. DSH 上下文管理与 token 优化插件。
A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context.
That's all 24 repositories in this period.