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Engram vs MTPLX

Which one should you try?

Engram

Free

Best for Teams and individuals using Cursor, Claude Code, or Continue with high token costs

Visit Engram See full review

MTPLX

Free

Best for MacBook Pro / Mac Mini users running 27B+ models locally

Visit MTPLX See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Engram

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.

MTPLX

MTPLX

The vendor states a 2.24× decode speedup on Qwen3-27B running on an M5 Max MacBook Pro, achieved by using the model's own built-in MTP heads as the drafter — no second model loaded, no external checkpoint to maintain. Acceptance is handled via Leviathan–Chen rejection sampling with a residual (p − q)+ correction, verified bit-exact against single-token autoregressive output. It serves an OpenAI- and Anthropic-compatible API, so downstream tooling like Claude Code, Cline, or the openai-python SDK connects without shims. The wall appears immediately if you leave Apple Silicon: the runtime is explicitly Apple Silicon only, and the custom Metal kernels have no CUDA path.

AttributeEngramMTPLX
PricingFreeFree
Pricing checkedNot checked yetNot checked yet
Free trialNot statedNot stated
Open sourceYesYes
Has APIYesYes
Self-hosted optionYesYes
PlatformsNode.js (npm); works in Claude Code, Cursor, Cline, Continue, Aider, Codex CLI, Windsurf, ZedmacOS 14+ on Apple Silicon (M1 or newer)
Released2026-042025
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.
  • Leviathan–Chen rejection sampling with residual correction produces bit-exact output at temperature > 0, so agent workflows that depend on non-greedy sampling get the correct distribution instead of a silent approximation that drifts results unpredictably.
  • The drafter lives inside the target checkpoint's own MTP heads, which means no second model in memory — on a MacBook with 64–128 GB unified memory, that headroom stays available for context or parallel sessions rather than a dedicated draft model.
  • OpenAI- and Anthropic-compatible API endpoints with streaming SSE, so tools like Claude Code, Cline, Continue, and the openai-python SDK connect without a translation layer or custom adapter.
  • The vendor reports 2.24× decode speed on Qwen3-27B at temperature 0.6/top_p 0.95 on an M5 Max — meaning you get more tokens per second without switching to a smaller model or lowering temperature to approximate greedy.
  • Apache-2.0 license with no cloud tier or usage telemetry mentioned in the docs, which means inference stays entirely on local hardware — no prompt data leaves the machine.
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 runtime is Apple Silicon only, with custom Metal kernels and no CUDA path: the moment your deployment target is a Linux server, a cloud VM, or a Windows workstation, this tool is not an option and teams move to vLLM or llama.cpp instead.
  • MTP speculative decoding requires models that ship with native MTP heads in their checkpoint — models without those heads get no speedup and fall back to standard autoregressive decode, which means the 2.24× figure applies only to a specific subset of supported architectures.
  • The project is at v0.1.0-preview.1 and built by a single developer: production teams that need an SLA-backed issue resolution path, a security response process, or a multi-maintainer commit history will hit that wall before they finish the proof-of-concept.

Made up your mind?

Engram

Free

Best for Teams and individuals using Cursor, Claude Code, or Continue with high token costs

Visit Engram See full review

MTPLX

Free

Best for MacBook Pro / Mac Mini users running 27B+ models locally

Visit MTPLX See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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