Engram vs Stele

Engram and Stele are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Engram

Engram sits between your IDE and its file reads, maintaining a local SQLite summary of your codebase so agents pull compressed context instead of raw files. The vendor states an 89% measured token reduction. It installs via npm, runs locally with zero cloud dependency, and connects to Claude Code, Cursor, Cline, Continue, Aider, Codex, Windsurf, and Zed through a combination of OpenVSX extensions, an Anthropic plugin, and adapter scripts. The bug-prevention layer surfaces past mistakes from revert history before the agent touches that code path again. This is a passive interceptor, not an agent — it does not plan tasks or run autonomously.

Stele

Stele is a shared memory layer that sits between your agents and your codebase. Every agent reads the same knowledge graph — decisions, tasks, risks, lessons — before it acts, and writes back what it learns. The atomic task-claiming mechanism means two agents cannot pull the same work item simultaneously, which prevents duplicated effort across parallel sessions. The friction is real: the product is invite-only and cloud-hosted with no self-hosted option, so teams with strict data residency requirements hit a wall immediately.

Attribute	Engram	Stele
Pricing	Free	Paid
Free trial	No	No
Open source	Yes	No
Has API	Yes	No
Self-hosted option	Yes	No
Platforms	Node.js (npm); works in Claude Code, Cursor, Cline, Continue, Aider, Codex CLI, Windsurf, Zed	Web, local plugin (MCP)
Released	2026-04	—
Pros	Local SQLite storage with no cloud dependency, which means your codebase summary never leaves your machine — relevant for teams under data-residency constraints that rule out cloud-hosted context tools. The vendor states an 89% measured token reduction on repeated file reads, so usage-based billing in tools like Cursor or rate-limited Claude Code sessions consume significantly fewer tokens per session. Bug-prevention indexing pulls from your repo's revert history, so an agent approaching a previously broken file sees the failure pattern before it writes — instead of repeating it. A single context store shared across Claude Code, Cursor, Cline, Continue, Aider, Codex, Windsurf, and Zed, which means switching tools mid-project or running two tools in parallel does not require rebuilding context from scratch. Apache 2.0 license with self-hosted operation, so teams can audit the full codebase, fork it, or adapt the adapter layer without negotiating a commercial agreement.	Shared knowledge graph across agents, so switching from Cursor to Claude Code mid-project does not reset the session's understanding of prior decisions and open tasks. Atomic task claiming prevents two agents from starting the same work simultaneously, which means parallel sessions produce additive progress rather than duplicated or conflicting output. Risk and lesson records surface at the moment a relevant change is being made — not after it ships — so an agent flags a known production bug before the code guard that prevents it gets removed. Single CLI install with no dashboard configuration required, so the memory layer becomes active without adding a workflow step between prompts.
Cons	When the codebase changes rapidly — active feature branches, frequent refactors, multiple contributors merging daily — the SQLite summaries drift from the actual file state. The agent works from a compressed snapshot that no longer matches reality. Teams in this situation either rebuild the index on every session (reducing the cost savings) or accept that the context is partially stale. The bug-prevention layer depends on revert history existing and being parseable. Greenfield projects or repos with shallow or non-standard Git history get no benefit from that feature — it simply does not fire. Engram has no UI, no observability dashboard, and no way to inspect what the agent is actually receiving as context. When an agent produces unexpected output, diagnosing whether the cause is a stale summary requires digging into the SQLite database directly. Teams that need audit trails or explainability for agent decisions will hit this ceiling and move to a tool that exposes its context pipeline.	The product is invite-only during beta. Teams that need to start using a shared memory layer immediately cannot — there is no self-service onboarding path, and the waitlist timeline is not published by the vendor. The service is cloud-hosted with no self-hosted option. Teams working under data residency requirements or corporate policies that prohibit sending codebase decisions and task data to a third-party service cannot use Stele at all — and at that point the only path forward is building a local context-passing layer themselves or using a different tool that supports on-premise deployment. There is no API surface exposed by the vendor, so teams that want to pipe Stele data into existing project management or observability tooling have no programmatic integration path beyond what the CLI and agent plugins provide.

Bottom line

Engram is free while Stele is paid; Engram is open source; only Engram exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Engram and Stele?

Engram is Free and open source, while Stele is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Engram better than Stele?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Engram vs Stele: which should I pick?

Pick Engram if its pricing model, openness, or platform fit matches your constraints; pick Stele otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.