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1105216375-alt/resimind

Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.

Python ◇ agent-memory MIT
★119STARS
⑂0FORKS
!0ISSUES
🏆#15,734GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,016

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

resimind gained 10 stars in the last 30 days, about 1 a day, and now has 119. It is about 1 year old and has averaged roughly 119 stars a year. It ranks #2,016 among Python repositories and #15,734 across all languages on GitHubRepo.

Trending Record

resimind has maintained a continuous presence across global trending indexes, peaking at #1661. Below is the 30-day activity profile:

💡 Overview

resimind is an open-source project written in Python: Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, agent-skills, ai-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install resimind

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

resimind coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with resimind.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install resimind using your package manager: `pip install resimind`

2

Initialize your project workspace or configuration file for resimind.

3

Import resimind into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `resimind --help` to verify successful setup.

👍 Strengths

Active community backing with 106 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

1105216375-alt/resimind is currently ranked #15,734 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,675 Gxj230958/TritonAscendBench Python ★ 120 Compare ↗
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#15,675 SysAdminDoc/HushMessenger Java ★ 120 Compare ↗
#15,675 lidor30/pokedaisy Kotlin ★ 120 Compare ↗
#15,734 1105216375-alt/resimind This Project Python ★ 119
#15,734 rvirding/leex Erlang ★ 119 Compare ↗
#15,734 rnk/django-media-bundler Python ★ 119 Compare ↗
#15,734 simongregory/actionscript3-tmbundle ActionScript ★ 119 Compare ↗
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Frequently Asked Questions

What does resimind do? +

Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.

What language is resimind written in? +

The primary language is Python. Topics include: agent-memory, agent-skills, ai-agents, customer-support, knowledge-growth.

Is resimind actively maintained? +

Yes, the last recorded push was on Oct 14, 2026 with 0 open issues being tracked.

How many stars does resimind have? +

resimind has 119 stars and 0 forks on GitHub.

How does resimind rank among GitHub repositories? +

With 119 stars, 1105216375-alt/resimind is ranked #15,734 globally across all repositories tracked on GitHubRepo and #2,016 among Python projects.

What license is resimind distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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