by jmanhype · Agent Tool · ★ 34
MindMapper Python simulation where LLM-backed agents interact, maintain thought trees, and track sentiment over time. Each agent has a goal, a tree of thoughts, and uses keyword extraction (YAKE) and sentiment analysis (TextBlob) to update its internal state. Agents generate responses via the Anthropic API and look up entities through the Google Knowledge Graph API. Status Proof of concept. Runs but requires manual API key insertion in source code. No tests, no CLI arguments, no config file. What it does Creates N agents, each with a goal string and a thought tree (rooted tree of objects).
| Stars | 34 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 66.0840620421193/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-25 |
| Created | 2023-06-23 |
| Platforms | python |
| Est. Tokens | ~3k |
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MindMapper is MindMapper is an innovative program that empowers intelligent agents to navigate complex thought landscapes and collaboratively map their cognitive processes. This cutting-edge tool harnesses the powe. It is categorized as a Agent Tool with 34 GitHub stars.
MindMapper is primarily written in Python.
You can find installation instructions and usage details in the MindMapper GitHub repository at github.com/jmanhype/MindMapper. The project has 34 stars and 5 forks, indicating an active community.
MindMapper is released under the Apache-2.0 license, making it free to use and modify according to the license terms.