
Context Engineering: Build Consistent, Accurate, Predictable AI Systems

Context Engineering: Build Consistent, Accurate, Predictable AI Systems
A context engine that treats skills as software.

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations
deep, reliable and confidential coding-context
CTX - Context Runtime Engine for Coding Agents
The open-source company brain. Run your entire company with AI agents, skills, and a self-improving context.
The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.
Stop re-explaining your data to your AI every session. The individual-analyst context layer, delivered over MCP (Claude Code / Cursor / Codex).
Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.
📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev

Agentic AI explained with chickens 🐔 every pattern a runnable, CI-checked file.
AI Badger - Local-first tool that extracts focused repo context for any AI chat (Claude, ChatGPT, Grok, etc.) without wasting tokens on irrelevant files.
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.
C.O.N.T.EX.T is designed to compress complex, multi-domain conversations into machine-optimized "Carry-Packets." These packets achieve a crystallization point of 0.15 entity/token, ensuring that a receiving model can reconstruct the original context with near-perfect fidelity.

Always keep your codebases ready for Agents. Improve any coding workflow by atleast 2x by maintaing a live, pluggable context layer per repo that creates and maintains Agents.md
Project memory system for AI coding assistants (Claude Code, Cursor, Codex): session logs, project wiki, rules, TODOs, and handoff.
CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.
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.