ReclaimLLM icon
ReclaimLLM icon

ReclaimLLM

ReclaimLLM (RCLM) is a developer-first AI Control Plane that captures, indexes, compresses, and governs AI sessions across CLI coding agents (Claude Code, Gemini CLI, Codex, Cursor, Antigravity), local API proxies, and browser tabs.

ReclaimLLM screenshot 1

Cost / License

Platforms

  • Mac
  • Windows
  • Linux
  • Online
  • Google Chrome
  • Python
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Features

Properties

  1.  Distraction-free
  2.  Privacy focused
  3.  Support for Themes
  4.  Lightweight
  5.  AI-Powered

Features

  1.  Dark Mode
  2. Git icon  Git Support
  3.  No Coding Required
  4.  Ad-free

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ReclaimLLM information

  • Developed by

    CA flagReclaimLLM
  • Licensing

    Open Source (Apache-2.0) and Freemium product.
  • Pricing

    Subscription ranging between $8 and $10 per month + free version with limited functionality.
  • Written in

  • Alternatives

    0 alternatives listed
  • Supported Languages

    • English

AlternativeTo Categories

DevelopmentAI Tools & Services

GitHub repository

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ReclaimLLM was added to AlternativeTo by Momin-Aziz on and this page was last updated .
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What is ReclaimLLM?

ReclaimLLM (RCLM) is a developer-first AI Control Plane that captures, indexes, compresses, and governs AI sessions across CLI coding agents (Claude Code, Gemini CLI, Codex, Cursor, Antigravity), local API proxies, and browser tabs.

Unlike traditional API tracing SDKs, ReclaimLLM requires zero code changes to set up (pip install rclm && rclm-hooks-install). It records step-by-step agent tool executions, terminal logs, and structured code file diffs, while applying active context window compression (read caching, test output compaction, loop breakers) to cut token costs by up to 40%.

Key features:

• Zero-code capture across CLI tools, API proxy, and browser tabs • Step-by-step session replay with before-and-after file diffs • Active context window compression and test output compaction • RCLM MCP server for cross-assistant context portability • Hook-level DLP secret masking (.env file redaction) • Enterprise cost attribution, usage analytics, and VPC deployment

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