repository-context

面向 AI ���下文管理的 Agent Skill：为 Codex 上下文管理、Cursor 上下文切换和 Claude 上下文管理提供跨窗口续接，用 Git 保存可验证的功能说明与变更记录。AI coding context management and agent handoffs.

Find source context and trace calls across languages in Claude Code, Codex and other MCP agents.

Bounded repository context and verified patches for Codex and Claude Code. Explicit edit grants, source fingerprints, isolated worktrees, acceptance checks, and reproducible paired benchmarks.

Local-first repo memory and context for coding agents.

Maintainer-grade intake firewall for GitHub issues and PRs: dry-run scoring, repo context, adversarial tests, and reproducible proof gates.

Repo-owned engineering memory for coding agents — preserve decisions, failures, domain knowledge, and deferred work across sessions, teams, and models.

Syngraphe keeps repository context versioned, current, and understandable by both humans and coding agents.

Portable Agent Skills that turn repositories into agent-ready workspaces with AGENTS.md orientation, an OKF/LLM-wiki knowledge layer, reusable skill creation, and harness adapters.

Turn a local codebase into clean, token-counted context for an LLM. One Rust binary with gitignore-aware selection, clipboard/pipe workflows, and a built-in UI.

Generate deterministic AGENTS.md and CLAUDE.md context blocks for coding agents

AI-native engineering workflow system focused on bounded engineering cognition for real-world software development.

Repo-native context continuity for coding agents.

Rylox is a local-first repository context engine that analyzes source code, retrieves task-relevant context, and assembles structured, portable context packages for humans and AI systems.

Local-first repository-to-agent context CLI for Codex, Claude Code, and Cursor.

Reproducible demo connecting repository knowledge, agent guidance, and deterministic checks for more reliable coding-agent changes.

Project memory and verification for coding agents. Noxroot gives each task relevant repository context, runs the checks that apply, and documents useful lessons for next time.

Local, incremental repository context for AI coding agents, designed to reduce repeated discovery cost.

Deterministic local code context for coding agents.

Repository traversal and context packaging utilities for AI-assisted codebase analysis.

Generate concise, deterministic AGENTS.md files from repository metadata.