AI coding assistants lose all context between sessions. Decisions vanish. Architecture gets contradicted. Projects stall after two weeks. Engram gives your AI permanent memory — 100% local, zero config.
Then the project outgrows the context window. Your AI starts hallucinating old decisions, contradicting itself, suggesting things you explicitly rejected. The productivity multiplier drops to zero — or worse. You're not building anymore. You're babysitting.
Every new conversation starts from zero. The database architecture decision you made yesterday? Gone. The bug you spent two hours debugging? Forgotten. You re-explain everything, every time.
"We tried debouncing but it broke optimistic updates, so we switched to throttle." Hard-won insights like this disappear the moment the session ends. Next time, your AI suggests debouncing again.
Day 10: "Use Redis for sessions." Day 45: "Switch to DB sessions." Day 60: Your AI cheerfully suggests Redis again. No source of truth. No lineage. No memory of what was decided or why.
Re-explaining context isn't just frustrating — it's expensive. Every token spent re-establishing what your AI should already know is wasted. At $200/mo for AI tooling, that cost compounds fast.
Engram works alongside your AI coding assistant. It captures and retrieves project knowledge automatically — so your AI never loses track, no matter how long the project runs.
Every decision, bug, constraint, and architectural choice is automatically captured and classified. Nothing slips through.
Entries are organized and indexed for instant retrieval. Proprietary ranking ensures the most relevant context surfaces first, regardless of how large the knowledge base grows.
New session? Relevant context is surgically retrieved. Outdated entries are automatically handled. Your AI picks up exactly where you left off — even months later.
We built an HR app across 7 coding sessions — once without Engram and once with it. By session 7, the difference is brutal.
Watch the full comparison →Engram isn't a prompt hack or a wrapper around a notes file. It's a purpose-built persistence engine for AI-assisted development that spans months and thousands of decisions.
Engram understands meaning, not just keywords. Search for "authentication flow" and find entries about "login process" and "user sign-in." All processing happens locally on your machine. No API calls. No cloud. No data leaves your machine. Ever.
When you make a decision, it sticks. If there's a conflict between what you said and what the AI suggested, your directive wins. Always. No more arguing with your own assistant.
Changed your mind? Engram handles it. Old decisions are automatically managed so your AI never resurfaces outdated information. The knowledge base stays current through natural conversation.
Built and tested with Claude Code. Compatible with any AI tool that supports the Model Context Protocol — the open standard adopted by Anthropic, OpenAI, and the Linux Foundation.
One executable. No Python. No Node. No Docker. No cloud services. No API keys. Download, run, done. Everything stays on your machine.
Your complete project history, always available. Engram stores every decision, every bug, every constraint — and retrieves exactly what's relevant. Nothing is lost, nothing is compressed.
Most "AI memory" solutions are glorified note files or cloud-dependent services. Here's how Engram compares.
| Capability | Manual Docs | Vector RAG | Engram |
|---|---|---|---|
| Persists across sessions | ✓ | ✓ | ✓ |
| Auto-captures decisions | ✗ | ✗ | ✓ |
| Supersedes outdated info | ✗ | ✗ | ✓ |
| Semantic search | ✗ | ✓ | ✓ |
| No API key needed | ✓ | ✗ | ✓ |
| MCP compatible (open standard) | ✗ | ✗ | ✓ |
| Ranks user decisions above AI | ✗ | ✗ | ✓ |
| Zero infrastructure | ✓ | ✗ | ✓ |
You're already spending $2,400/yr on an AI that forgets everything between sessions. Engram gives it permanent memory — annual license, one machine, unlimited projects.
After 100 customers: $3,500/yr (next 200) → $4,999/yr (standard)
30-day money-back guarantee. No questions asked.
No. Engram runs entirely on your machine. The knowledge base is a local file. Nothing is transmitted anywhere. Your code, decisions, and project knowledge stay completely private.
Engram is built and tested with Claude Code. It uses the Model Context Protocol (MCP) — the open standard backed by Anthropic, OpenAI, and the Linux Foundation — so it's compatible with any MCP-supporting tool. Memory persists regardless of which tool you use.
Query times stay constant regardless of knowledge base size. Whether you have 100 entries or 10,000, retrieval is sub-second. Outdated information is automatically managed, keeping the active context clean.
Windows and Linux are fully supported today. macOS support is coming soon. One small binary, no dependencies.
No. A CLAUDE.md is a static file you maintain manually. Engram is a live persistence engine that automatically captures, classifies, and retrieves knowledge in real time. It's the difference between a notepad and a search engine.
30-day money-back guarantee. No questions asked. If Engram doesn't transform your workflow, email us and we'll refund you immediately.
One binary. Permanent memory. Your AI never forgets again.