Results for “context-engineer”

Hook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% ba

A human-in-the-loop control plane for reliable agentic coding—plan, challenge, implement, verify, and preserve progress.

clarifyprompt-mcp

ContextX: Context-driven AI development framework powered by Claude Code. Transform documents into complete projects wit

o9k — token-efficiency meta-framework for AI coding agents (Claude Code, Cursor, Codex, OpenCode, Hermes): seven pillars

Installable GitHub library of 1,500+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and mor

Awesome tools to help you level up—or get started—with vibe coding

The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and aud

12 production-tested skills for Claude Code CLI — SEO/GEO, WordPress, content creation, marketing, ebook publishing, VPS

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions

A production-ready Claude Code setup. Global CLAUDE.md, coding rules, per-project memory, and token optimization.

Shared memory across your team and your AI agents — with judgment about what's worth keeping.

Shared memory layer for AI coding tools. One local SQLite DB, every tool reads the same verified facts. Local-first, zer

stdio MCP server to read or index markdown with images

Persistent, encrypted memory for AI agents: one Rust binary, one file, no cloud. 55+ MCP tools, hybrid recall, bi-tempor

The #1 Obsidian MCP for AI memory and local document intelligence — one vault, every agent, private and cited.

Tiger CLI is the command-line interface for Tiger Cloud. It includes an MCP server for helping coding agents write produ

grep that returns ranked, token-budgeted code slices — built for LLMs and coding agents. CLI + Python library + MCP serv

Context optimization for AI agents — 97 domain knowledge graphs, MCP-native traversal. 4× F1 of RAG, 11× fewer tokens pe

ContextLattice is the local-first control plane for long-horizon agent memory and coordination.

Local context engine for AI coding agents. Routes tasks to relevant files, tests, rules, and skills, supports prompt cac

starter kit for fast mcp

Community edition of RepoPrompt: a native macOS context engineering app for AI coding agents, with an MCP CLI.

Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.

A lightweight, zero-dependency CLI tool to manage and activate capabilities for AI coding assistants (such as Claude Cod

Claude Code plugin that offloads large outputs to filesystem and retrieves when required.

@microsoft✓ Official

Agent Package Manager

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

Hands-on crash course for Claude Code with branch-based projects on MCP, subagents, hooks, and automation.

Memory library for building stateful agents

AI-powered file organization and context engineering that understands content, not patterns. Automatically sorts tempora

Automatic context preservation for Claude Code. Never lose work to compaction again. 7 hooks, 187 semantic patterns, 3 M

Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inha

Build your own Company OS with Claude Code. CLAUDE.md template, 5 GTM skills, workflow plugin, safety hooks, and full bl

Agent Skills as a Memory Layer

MCP server that gives AI coding assistants persistent cross-client memory. Facts and conversations stored in SQLite, enc

Local-first agent memory in one SQLite file: sqlite-vec/QJL two-pass vector + FTS5 search, knowledge graph (optional aut

One-command bootstrap for a fully wired Claude Code workstation — installs Claude Code, RTK, context-mode, code-review-g

Claude Code plugin for structured, AI-driven software development. Orchestrates complex workflows -- from issue assessme

Your AI agent finds the right files. Every time. Code graph context engine with 24 MCP tools — 170+ languages, triple se

Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions, patterns

ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get dete

Persistent codebase knowledge layer for AI agents. Pre-builds architecture, dependency, coupling, and risk knowledge ser

Persistent memory for AI coding agents