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    3. HELIX Engine – Antigravity Edition
    HELIX Engine – Antigravity Edition icon

    HELIX Engine – Antigravity Edition

    MCP Servers

    A local evidence, memory and deterministic execution layer for coding agents, tuned for Google Antigravity and Gemini.

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    At a Glance

    Pricing
    Open Source

    HELIX Engine core is MIT-licensed and free to use, copy, modify and distribute.

    Engagement

    Available On

    Windows
    macOS
    Linux
    API
    CLI

    Resources

    WebsiteDocsllms.txt

    Topics

    MCP ServersContext EngineeringAgent Memory

    Alternatives

    daidocsOpen IndexIHMT — Infinite Hierarchical Memory Tree
    Developer
    Helix

    Listed Oct 2026

    About HELIX Engine – Antigravity Edition

    HELIX Engine – Antigravity Edition is an open-source, MIT-licensed project by SuperHelix77 that adds a local evidence, memory and deterministic execution layer to coding agents. This edition is tuned for Google Antigravity (agy) and Gemini 3.8 Flash High. It re-architects the context management of the Codex-oriented HELIX 1.0 around Gemini's prompt-caching behavior.

    What It Is

    HELIX sits between a coding agent and its tool output. It keeps exact tool results in a local encrypted evidence archive and returns compact receipts to the model instead. It exposes goal, context and memory tools over MCP and runs as a local loopback service. It can be started from the CLI, and an Electron desktop app shows runtime state, evidence, memory and troubleshooting.

    How the Antigravity Edition Manages Context

    • Lean Switch (lean_run) condenses long pytest or git diff output into verified status receipts, keeps error tracebacks, and stores the full raw output locally for recovery on demand.
    • Continuous Context Control (seal) archives completed task turns into encrypted stores and carries forward a compact handoff receipt (helix.handoff.v1).
    • Two-Tier Context Optimizer combines scoped task retirement with intra-task aging, turning older tool results into compact references while preserving recovery handles.
    • batch_inspect replaces many small file reads with one atomic multi-file range inspection.
    • Memory keeps explicit project and task notes in local SQLite, with no LLM observer needed.

    Setup Path

    HELIX requires Node.js 22.19+, npm and Git; Python 3 is optional for AST-aware Python indexing. After building from source, users symlink the CLI into the Antigravity binary directory and start the daemon. Antigravity then discovers the HELIX MCP tools and the /helixcontext skill. The same stdio MCP entrypoint can also serve Codex or other MCP clients.

    Benchmark Claims and Boundaries

    The README reports a 50-task SWE-bench-style run comparing vanilla Gemini 3.8 Flash High with HELIX. It lists 10 solves for HELIX against 11 for vanilla, with billable tokens reduced by 61.95% and cached context by 86.42%. These are the author's own figures. The author states that a 95% savings figure is a target, not a result. HELIX runs authorized commands with the host account's permissions and is not a sandbox.

    HELIX Engine – Antigravity Edition - 1

    Community Discussions

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    Pricing

    OPEN SOURCE

    Open Source (MIT)

    HELIX Engine core is MIT-licensed and free to use, copy, modify and distribute.

    • MIT-licensed engine code
    • Third-party code and artwork retain their applicable licenses
    • Local evidence, memory and deterministic execution layer for coding agents
    • Lean Switch frontier shaping and Continuous Context Control (seal)

    Capabilities

    Key Features

    • Lean Switch compact receipts for command and test output
    • Continuous Context Control with encrypted handoff sealing
    • Two-Tier context retirement and aging
    • Multi-file batch inspection
    • Local encrypted evidence archive with on-demand raw recovery
    • Deterministic local SQLite memory
    • Goal engine and Tool Flow for bounded mechanical sequences
    • Native Antigravity plugin and MCP server
    • Electron monitor for runtime state, evidence and memory
    • Optional read-only Claude-Mem bridge
    • RTK output filtering integration

    Integrations

    Google Antigravity
    Gemini
    MCP
    Codex CLI
    RTK
    Claude-Mem
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    Helix

    Read more about Helix
    WebsiteGitHub
    1 tool in directory

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