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What is claw_harder?

bradsadevnow/claw_harder — explained in plain English

Analysis updated 2026-05-18

0TypeScriptAudience · researcherComplexity · 4/5LicenseSetup · hard

In one sentence

An open fork of OpenClaw exploring a structured memory system and governed runtime architecture for AI-like agents.

Mindmap

mindmap
  root((claw_harder))
    What it does
      Memory layers
      Runtime governance
    Tech stack
      TypeScript
    Use cases
      Memory research
      Plugin extension
    Audience
      Researchers

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Explore an experimental layered memory design with short-term, session, and long-term stores.

USE CASE 2

Study a manifest-engine plugin approach for managing AI runtime context.

USE CASE 3

Extend the OpenClaw platform with custom memory or governance plugins.

What is it built with?

TypeScript

How does it compare?

bradsadevnow/claw_harder0xradioac7iv/tempfsabboskhonov/hermium
Stars000
LanguageTypeScriptTypeScriptTypeScript
Setup difficultyhardmoderatemoderate
Complexity4/53/54/5
Audienceresearcherdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1day+

Early-stage research code with incomplete documentation and in-progress architecture.

MIT license: free to use, modify, and distribute, including commercially, as long as the copyright notice is kept.

So what is it?

This is an open fork of OpenClaw, a runtime experiment project by Brad Bates, released under the MIT license. The repository contains several components: a mirror of the OpenClaw base code, a plugin for OpenClaw II that implements a "manifest-engine" for managing context, a governed runtime substrate prototype, and architecture documentation. The project focuses on building a structured memory system for AI-like runtimes. The memory design distinguishes three layers: STM (short-term memory, described as a rolling epoch window), MTM (session ledger), and LTM (long-term compressed artifacts with a deterministic table of contents). The architecture also includes concepts of "organism-centric state", tracking identity, affective state, and short-term memory as core architectural elements, with a governance layer that controls what gets admitted into memory. Work in progress includes formalizing memory contracts, cleaning up runtime startup and replay behavior to be deterministic, and wiring live modulation through a governed signal flow. The quick-start instructions show how to build and install the OpenClaw II plugin using npm, then configure OpenClaw to use the manifest-engine as its context engine. This is an early-stage research and experimentation repository, likely useful for developers exploring agent runtime architectures, memory management for AI systems, or extending the OpenClaw platform with custom plugins. Written primarily in TypeScript.

Copy-paste prompts

Prompt 1
Help me install and configure the OpenClaw II manifest-engine plugin using npm as described in this README.
Prompt 2
Explain the difference between STM, MTM, and LTM in this project's memory architecture.
Prompt 3
Show me what organism-centric state means in this codebase and how identity and affective state are tracked.
Prompt 4
Summarize the current work-in-progress items from this repo's workstream snapshot notes.

Frequently asked questions

What is claw_harder?

An open fork of OpenClaw exploring a structured memory system and governed runtime architecture for AI-like agents.

What language is claw_harder written in?

Mainly TypeScript. The stack also includes TypeScript.

What license does claw_harder use?

MIT license: free to use, modify, and distribute, including commercially, as long as the copyright notice is kept.

How hard is claw_harder to set up?

Setup difficulty is rated hard, with roughly 1day+ to a first successful run.

Who is claw_harder for?

Mainly researcher.

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