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@egchq/egc
Advanced tools
EGC is a local-first MCP runtime that gives every AI agent the same brain: persistent shared memory, security guardrails, and up to 90% token savings across 23 AI coding tools.
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Persistent memory that every AI agent, IDE, terminal, and session shares automatically. No prompts to memorize. No context to rebuild. Just talk.
EGC isn't another memory tool. It's the intelligence layer that lets every AI work as if it has been on your project since day one, in Cursor, Copilot, Claude Code, Codex, Aider, and any terminal agent (23 AI coding tools in total). Works natively with Claude, GPT-4o, Gemini, DeepSeek, Mistral, Groq, Cohere, and Vertex AI, plus OpenRouter for Qwen3, Llama 4, and more.
Every conversation builds your project's collective intelligence. Every agent inherits it. Every session gets smarter.
npm install -g @egchq/egc && egc install
EGC is not a list of tools; it is one brain with several faculties. It remembers, understands, protects, filters, and coordinates, across every AI agent on your machine.
Talk to the brain in any language: "save this session", "what did we decide about auth?", "remember this decision". EGC understands the intent, stores the context, and recalls it instantly in any other tab, terminal, or tool on your machine. One brain. Every agent. Zero commands to remember.
EGC gives every AI agent a persistent, shared brain. It captures decisions, session context, working memory, and learned patterns, then makes them instantly available in any other terminal, IDE, or agent you open. Session state, project history, and accumulated lessons flow seamlessly between tabs, tools, and teammates: no manual sync, no context loss. All memory lives in ~/.egc on your machine, encrypted with AES-256-GCM, kept per project branch, and never committed to your repository.
A second half of the brain runs guardrails in the background. It validates commands before they execute, gates risky writes, compresses context before it overflows, orchestrates multi-step tasks across agents, and learns from every correction, all without you invoking a single tool. An invisible safety net that keeps context lean, actions safe, and workflows autonomous.
The brain doesn't just remember: it filters. Before any shell output reaches the model, EGC's Token Crusher compresses git logs, test spam, install noise, and giant JSONs by up to 90%, preserving every error and warning. Just ask "how much did I save?" in any language, and the answer comes straight from your local ledger at zero cost: cheaper sessions, context that lasts.
As a bonus, EGC gives you access to 63 agents, 230 skills, and 77 commands, plus 111 rules: specialists that review your code on their own, best-practice guides for every language and situation, shortcuts that run a whole sequence of tasks for you, and style rules that keep your code consistent. All written from real engineering sessions, not theory. Don't want to use any of it? Fine: EGC's persistent memory works exactly the same.
There is no step two. Open any of your AI tools and just talk: "hi", "let's continue", "remember this decision", in any language. Sessions connect instantly, memory loads automatically, and every open tab already knows what the others are doing: two Cursor tabs, a Claude Code terminal, and an Antigravity session all share the same living context, simultaneously.
A live dashboard displaying agent activity, tokens, and costs spins up automatically right after installation. Prefer manual control? Every command is documented in the installation guide: you will probably never need to type one.
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EGC is built by one developer, maintained in the open, and free.
Support from the community keeps this project alive and independent.
AI coding tools that integrate natively with EGC. Partners get logo placement across all READMEs and EGCSite.
FAQs
EGC is a local-first MCP runtime that gives every AI agent the same brain: persistent shared memory, security guardrails, and up to 90% token savings across 23 AI coding tools.
The npm package @egchq/egc receives a total of 493 weekly downloads. As such, @egchq/egc popularity was classified as not popular.
We found that @egchq/egc demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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