scallopbot

About scallopbot

ScallopBot A bio-inspired cognitive architecture for personal AI agents. Bridging the cognition gap in OpenClaw-compatible agent systems. Read the Paper Open-source personal AI agents like OpenClaw excel at tool orchestration but lack genuine cognitive depth: no memory lifecycle, no self-reflection, no autonomous reasoning. ScallopBot addresses this cognition gap with a bio-inspired cognitive architecture that maintains full compatibility with the OpenClaw skill ecosystem. Scall

affect-computing agent-memory ai anthropic bio-inspired cognitive-architecture dream-consolidation llm memory-systems multi-provider

Quick Facts

Stars	28
Forks	4
Language	TypeScript
Category	Codex Skill
License	MIT
Quality Score	62.5841783299168/100
Open Issues	1
Last Updated	2026-06-28
Created	2026-02-01
Platforms	node
Est. Tokens	~19k

Compatible Skills

These tools work well together with scallopbot for enhanced workflows:

kinbot — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
openclaw-membase — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
memUBot — semantic(0.28)+complementary+rare_topics+same_lang+shared_platform (49%)

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Frequently Asked Questions

What is scallopbot?

scallopbot is Bio-inspired cognitive architecture for personal AI agents. Memory lifecycle, dream consolidation, affect detection, self-reflection, spreading activation, proactive intelligence. 7 LLM providers, 9 c. It is categorized as a Codex Skill with 28 GitHub stars.

What programming language is scallopbot written in?

scallopbot is primarily written in TypeScript. It covers topics such as affect-computing, agent-memory, ai.

How do I install or use scallopbot?

You can find installation instructions and usage details in the scallopbot GitHub repository at github.com/tashfeenahmed/scallopbot. The project has 28 stars and 4 forks, indicating an active community.

What license does scallopbot use?

scallopbot is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools