Engram

The second brain your AI agents read and write.

_{▶ Watch the full-length video (real-time, full quality)}

↗ Try the live demo — no signup. Search retainer price and watch the retired note get withheld.

Engram is a self-hosted MCP server + dashboard that gives Claude Code, Cursor, Hermes, and any Model Context Protocol agent shared, long-term memory they read and write — over a plain, git-backed folder of markdown you own. Built for the case a single agent's memory never hits: a team running several agents against one brain.

Autonomous agents forget everything between sessions — and worse, they can't tell what they remember is still true. An agent pulls an old README, a retired price, an API doc you changed months ago, and quotes it with full confidence, because keyword and vector search both rank by resemblance, not truth. Engram makes "is this still true" a first-class, written property: mark a fact superseded or expired and search withholds it — and tells the agent what it skipped and why. Per-agent read/write tokens and a git audit trail of who-wrote-what keep it sane when the writers are a fleet, not just you.

Unlike a headless memory store, you can watch it happen. A fast dashboard lets you search your brain, see exactly what every agent and teammate changed (with per-file diffs), jump back into recent notes, and curate it all — while agents read and write the same vault over one MCP endpoint. No database: your .md files are the source of truth, git is the durable store, and an in-memory index powers full-text search + a wikilink knowledge graph.

Opinionated about how it stores memory — git-backed markdown, no database, agents write (not just read), self-hosted. Unopinionated about what you keep in it — any markdown vault, any folder structure, any MCP client. Point it at a fresh repo or your existing Obsidian vault: no import step, no lock-in.

What it's for · How it compares · Features · Works with · Quick start · MCP tools · Deploy · FAQ · Contributing

What it's for

• Shared memory for a team running multiple agents — one vault, many agents reading and writing concurrently, with per-agent read/write tokens and a git audit trail of who changed what.
• Memory that knows what's still true — retire a price, a term, or a changed API doc and your agents stop quoting it; they're told what they skipped and why. The failure a single agent's memory never fixes.
• Long-term memory for Claude Code and other coding agents — stop re-explaining your project every session.
• A self-hosted, Obsidian-compatible second brain exposed over MCP — your notes, your server, your git repo.
• Memory you can see, not a black box — a dashboard to search, watch (with diffs), and curate what your agents remember.
• Markdown RAG without the vector database — full-text search + a link graph over human-readable files.

How it compares

Most agent memory is built to answer "what did I store about this?" Engram is built to answer "what is still true about this?" — a different question, and the one that bites when an agent quotes a price you retired months ago.

The row that matters is the third one. Similarity search cannot tell a contradiction from a duplicate — a retired price and a live one are textually identical, so the retired one often outranks the live one by being longer and more detailed. That can't be fixed at read time, which is why Engram writes the retirement down when it happens.

_{This exact pair ships in sample-vault/. Run bun dev, search acme price, and watch the retired note get withheld with a reason.}

_{Categories, not feature-by-feature audits of specific products, and accurate to the best of my knowledge as of July 2026. If something here misrepresents a tool you maintain, open a PR — I'll fix it.}

Features