The context spine for AI coding agents. 6 providers (graph + git + MemPalace + Context7 + Obsidian) assembled into rich packets per Read. Up to 90% session-level token savings. Local SQLite, zero native deps, zero cloud.
<p align="center"> <img src="assets/banner.png" alt="engram — AI coding memory" width="100%"> </p> <p align="center"> <a href="#install"><strong>Install</strong></a> · <a href="#usage"><strong>Usage</strong></a> · <a href="#mcp-server"><strong>MCP Server</strong></a> · <a href="#how-it-works"><strong>How It Works</strong></a> · <a href="docs/INTEGRATION.md"><strong>Integration Guide</strong></a> · <a href="#contributing"><strong>Contributing</strong></a> </p> <p align="center"> <a href="https://github.com/NickCirv/engram/actions"><img src="https://github.com/NickCirv/engram/actions/workflows/ci.yml/badge.svg" alt="CI"></a> <img src="https://img.shields.io/badge/license-Apache%202.0-blue" alt="License"> <img src="https://img.shields.io/badge/node-%3E%3D20-brightgreen" alt="Node"> <img src="https://img.shields.io/badge/tests-520%20passing-brightgreen" alt="Tests"> <img src="https://img.shields.io/badge/LLM%20cost-$0-green" alt="Zero LLM cost"> <img src="https://img.shields.io/badge/native%20deps-zero-green" alt="Zero native deps"> <img src="https://img.shields.io/badge/token%20savings-up%20to%2090%25-orange" alt="Up to 90% token savings"> </p> --- # The context spine for AI coding agents. **One call replaces five.** engram intercepts file reads and serves rich context packets — structural summaries, decisions, library docs, known issues, and git history — assembled from 6 providers in a single ~500-token response. Your AI agent gets everything it needs without making 5 separate tool calls. engram installs a hook layer at the Claude Code tool-call boundary. Every `Read`, `Edit`, `Write`, and `Bash cat` gets intercepted. When the graph has confident coverage of a file, it serves a **rich context packet** combining structure, decisions, docs, and history — all pre-assembled, all within budget. Not a memory tool. Not a RAG layer. **The context spine that connects your knowledge graph, semantic memory, library docs, and project notes into
Agent that generates comprehensive documentation, API references, architecture diagrams, and developer onboarding guides from existing code.
Agent configuration for systematic bug investigation that traces issues from error logs through the codebase to root cause with suggested fixes.
Agent for integrating third-party APIs including SDK setup, type generation, error handling, retry logic, and rate limit management.
Cursor's built-in autonomous coding agent that can make multi-file edits, run terminal commands, search the codebase, and iteratively build features with minimal human intervention.
Cloud-based autonomous coding agent that runs in the background on remote sandboxed environments, handling complex multi-step tasks while you continue working.
Cursor's multi-file editing agent within Composer mode that can create, edit, and delete files across your entire project in a single conversation.