Skip to main content
Glama

Language: English | العربية | Español | हिन्दी | 한국어 | Português (Brasil) | Русский

npm version Node.js >= 20 TypeScript Discord PRs Welcome Stars Forks Issues Maintained OpenSSF Scorecard Quality Gate Security Rating Reliability Rating Socket EGC MCP server Featured on Product Hunt

Language / اللغة / Idioma / भाषा / 언어 / Язык

English | العربية | Español | हिन्दी | 한국어 | Português (Brasil) | Русский

EGC - Extended Global Context

Your AI agents never start from zero again.

No commands to learn. Just work - EGC handles the rest.


EGC is a local runtime that gives every AI coding tool you use a persistent memory. At the end of each session, your AI saves what it learned: decisions made, what failed, your preferences, what to pick up next. At the start of the next session, it loads that state back on its own - no prompting required. Say "let's continue" or "where did we stop?" in any language and your AI already knows what to do. One install covers Claude Code, Cursor, Gemini CLI, Windsurf, and more. Works with Claude, GPT-4o, Gemini, and OpenRouter models including DeepSeek, Qwen3, and Llama 4.


This is what EGC looks like in practice

You open Claude Code on a project you haven't touched in two weeks. Without typing anything:

State loaded from egc-memory via ~/.egc/state/Projects-MyApp.md

Context and preferences acknowledged (terse responses).

Ready to pick up the next items:
• Test full install on a clean machine
• Add GEMINI.md with session memory protocol
• Publish v1.0.1 fix to npm after clean install test passes
• Add mcp_server_count to audit.js

=== EGC Stack Briefing ===
Stack: typescript, javascript
Stack agents: typescript-reviewer, javascript-reviewer
Always use: code-reviewer
Skill: coding-standards (cyclomatic complexity) - apply to all code written this session
===

The AI already knows what you were building, what decisions you made, what failed, and exactly where you stopped. It knows because EGC saved that state at the end of your last session and loaded it back when this one started - on its own, without you asking. You didn't type anything. You just started working.


Related MCP server: Total Recall

Install

npm install -g @egchq/egc && egc install

Or run without installing globally:

npx @egchq/egc install

Full installation guide


What EGC gives your AI

EGC ships two MCP servers that work together during every session.

Memory - 14 tools that your AI uses automatically

No commands to memorize. Your AI reads this table so you never have to. Say anything in any language - "continue from yesterday", "remember this decision", "what broke last time?" - and it calls the right tool. You just work. EGC handles the rest.

egc-memory

Tool

What it does

get_state

Loads project memory at session start

update_state

Saves decisions, preferences, and next steps

store_decision

Persists a single decision to SQLite

query_history

Returns past decisions by timestamp

search_history

Full-text search with BM25 ranking

working_memory_set

Stores transient context with a TTL

working_memory_get

Reads a transient key

working_memory_list

Lists all live transient entries for the current project

lesson_save

Records cross-session knowledge with confidence decay

lesson_recall

Retrieves active lessons above a confidence threshold

lesson_reinforce

Boosts confidence on a lesson when the same pattern repeats

detect_patterns

Surfaces repeated commands and recurring errors from hook events

compress_observations

Compresses raw hook observations into typed summaries to reduce token usage

get_project_state

Returns server health metadata and storage engine status

State files live at ~/.egc/state/<project-slug>.md. One file per project, plain Markdown, human-readable.

Context and safety - 5 tools for when things get heavy

egc-guardian

These tools run automatically in the background. Every shell command and every file write is checked before it executes. You never invoke them directly.

Tool

What it does

validate_command

Checks shell commands against project safety rules before execution

validate_write

Validates file write paths to prevent unsafe writes

reduce_context

Compresses file payloads to save your token budget

orchestrate_task

Routes prompts with agent/skill context and returns compression metrics

auto_learn

Mines session failures and writes actionable lessons to all AI tool config files in the project

Always in sync - across every tool you use

egc watch - run it once and every tool you use stays in sync. Edit context in Cursor and it appears in Gemini CLI, Copilot, Windsurf, and everywhere else automatically. When your state updates, all your tool config files update with it. No manual steps, no stale state.

egc watch              # watch current project
egc watch /path/proj   # watch a specific project
egc watch --quiet      # suppress output

Dashboard - real-time Mission Control

See every tool call, token, and cost your agents generate -- live in your browser. Starts automatically after egc init. Full guide


Prompt library

479 components included as a bonus. Install to get access to 63 agents, 229 skills, and 76 commands, plus 111 rules, all written from real engineering sessions. Skip them entirely and EGC still gives you persistent memory.


Support EGC

EGC is built by one developer, maintained in the open, and free.

Sponsors

Support from the community keeps this project alive and independent.

Tool Partners

AI coding tools that integrate natively with EGC. Partners get logo placement across all READMEs and EGCSite.

Annual Sponsors · Be the first annual sponsor.


Backers

Monthly sponsors · be the first


License: MIT OpenSSF Best Practices OpenSSF Baseline Level 1 OpenSSF Baseline Level 2 OpenSSF Baseline Level 3 Socket

       

Install Server
A
license - permissive license
A
quality
B
maintenance

Maintenance

Maintainers
11hResponse time
2dRelease cycle
17Releases (12mo)
Commit activity
Issues opened vs closed

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Fmarzochi/EGC'

If you have feedback or need assistance with the MCP directory API, please join our Discord server