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Engram Alpha

Engram Alpha

techtheist

|
20 installs
| (0) | Free
Durable, graph-based long-term memory shared by your AI coding assistants — Claude Code, Codex, Gemini CLI, OpenCode, Kilo, Google Antigravity, Bob, Windsurf, Devin — the reasoning/decision layer as an editable graph, local-first, measured on a published benchmark.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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Engram Alpha — VS Code extension

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The most powerful and feature-rich inspectable long-term graph memory for software development with AI agents — built on reproducible research.

Engram is a durable, graph-based long-term memory for AI coding assistants: the reasoning and decision layer — why we chose this, what bit us, what's still open — kept as a graph you can see, edit, and own. Local-first, no cloud, no keys: your memory is a file inside your repo, and every model that reads it runs on your machine.

This extension embeds the Engram pane in VS Code and talks to the local engram-alpha core — the same process your assistants read from and write to over MCP. Decisions, cautions, problems, and insights surface and update live while you work.

Engram pane in VS Code's secondary sidebar: the memory graph updates live while the assistant works

Try the live demo → — the real pane in your browser over an invented project's memory. Nothing to install.

Why a graph, not a notes file

A flat memory file is whole below about forty notes and overtaken by retrieval after that. Engram's graph is active: superseded knowledge is archived behind a replaces edge instead of silently contradicting the new canon, look-alike claims get flagged and judged, contradictions become visible conflicts-with edges, deliberately removed knowledge leaves a Tombstone so nobody re-learns it, and trust fades on scratch that never gets re-confirmed while pinned decisions never fade at all. The payoff shows up the second time something goes wrong: the graph already holds the Problem, the Resolution that answered it, and the Caution that would have prevented it.

  • One memory, every agent. The core speaks MCP, so Claude Code, Codex (CLI and desktop app), Gemini CLI, OpenCode, Kilo, Google Antigravity, Bob (IDE and Shell), Windsurf, and Devin CLI share the same per-repo graph. A decision captured by one assistant is recalled by the next.
  • An assistant that starts briefed. A session-start digest of conflicts to judge, open work, and standing decisions; mid-session hybrid search where every hit carries its conflicts and supersessions first, and every reply says how confident it is.
  • Silent capture, accountable review. Writes are quiet, and every one comes back checked: duplicates merge instead of piling up, writes near superseded, conflicted, or tombstoned knowledge are warned. The Review drawer is where you approve what you vouch for.
  • A memory that argues back. A local NLI model checks claims against your canon with receipts and sweeps the graph for hidden conflicts and duplicates. Models nominate; you judge.
  • Measured, not promised. Retrieval defaults are outputs of a published offline benchmark — about 9× the recall per token of a conventional vector stack at 1,500 notes. The runs live next to the code.

What the extension gives you

  • The Engram view in the activity bar (graph icon) — the full pane: the live graph in three layouts, the timeline feed, tags and filters, the Review drawer, Checkup, settings. Everything the standalone pane does.
  • Engram: Open Graph in Editor for a center-tab view when the sidebar is too narrow.
  • A status bar item showing core connectivity. If the core is down the pane shows a Retry overlay and reconnects on its own once it is up.
  • Detect-and-guide setup. On activation the extension checks for the engram-alpha binary and a running core and offers the next step — Install Backend, Start Daemon, or Configure MCP — without spawning anything behind your back.

Setup

  1. Install the backend (the extension can run this for you via Engram: Install Backend). From your project's root:

    curl -fsSL https://raw.githubusercontent.com/techtheist/engram/main/install.sh | sh
    

    This installs the engram-alpha binary, checksum-verified, into ~/.local/bin — and nothing else. On Windows, use PowerShell:

    powershell -ExecutionPolicy Bypass -c "irm https://raw.githubusercontent.com/techtheist/engram/main/install.ps1 | iex"
    

    (Assistants living in WSL2 should run the install.sh line inside WSL instead, so the core and the agents share one filesystem.)

  2. Wire your assistants, still from the project root:

    engram-alpha setup
    

    It auto-detects what is installed and writes each agent's MCP config plus the capture skill. engram-alpha setup --cli claude,codex wires only the ones you name.

  3. Start the core: engram-alpha serve (or Engram: Start Daemon). The first run downloads the three local models — embeddings, reranker, NLI — into ~/.cache/engram. After that it is fully offline.

  4. Open the Engram view. The pane finds the core through the workspace's .engram/daemon.json; engram.daemonUrl is the fallback when that file is absent (default http://127.0.0.1:8787).

Configure MCP for Claude Code

engram-alpha setup already writes the workspace .mcp.json. If you installed the binary another way, Engram: Configure MCP for Claude Code merges an engram server into .mcp.json without touching other servers:

{ "mcpServers": { "engram": { "command": "engram-alpha", "args": ["mcp"] } } }

No database path is needed: Claude Code launches the server with the project as its working directory and answers MCP roots, so the light stdio bridge binds the project's graph (.engram/graph.tepin) on its own and the entry is portable across checkouts. Restart Claude Code to pick it up. engram-alpha doctor checks the whole chain if something looks off.

The memory model

Nine node types — Principle, Decision, Caution, Problem, Resolution, Insight, Intent, Anchor, Tombstone — and seven edge verbs that read as sentences: a Decision because a Principle, a Resolution answers a Problem, the newer replaces the older, two claims conflict-with each other. Three capture intensities (relaxed / normal / aggressive) set how much your assistant writes. The ontology, the trust numbers, and the brief are per-graph configuration you can reshape from the pane, custom fields included.

Full documentation: docs — getting started, the pane, the memory model, trust, conflicts and Checkup, multi-project memory, storage, local models, troubleshooting.

Build from source

The pane is the repo's frontend/ build, copied in at package time.

npm install
npm run build:pane   # builds ../frontend (needs Bun)
npm run build        # copies the pane in + bundles the extension (esbuild)
npm run package      # -> engram-<version>.vsix

Install the .vsix via Extensions view → ⋯ → Install from VSIX….

License

MIT — see the repository.

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