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| title: Logica Mind — Memory Playground | |
| emoji: 🧠 | |
| colorFrom: indigo | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.9.1 | |
| python_version: "3.11" | |
| app_file: app.py | |
| pinned: true | |
| license: apache-2.0 | |
| short_description: Watch the memory engine extract facts from any language | |
| tags: | |
| - agent-memory | |
| - knowledge-graph | |
| - llm | |
| # 🧠 Logica Mind — Memory Playground | |
| Paste any message and watch [Logica Mind](https://github.com/Rovemark/logica-mind)'s | |
| memory engine **think**: detect the language, extract atomic facts, and tag each | |
| with an open category + a life/work **dimension** (a 34-dimension taxonomy). | |
| Works **offline** by default (heuristic). Paste your own OpenAI key to see the | |
| full LLM extraction (one message → several atomic facts) — the key is used only | |
| for that call and never stored. | |
| Logica Mind is open-source (Apache-2.0) long-term memory for AI agents: episodic + | |
| semantic memory, a temporal knowledge graph, an MCP server, and a self-hosted | |
| dashboard. On LoCoMo it scores **72.5%** — above Mem0 and Zep — at ~35× fewer LLM | |
| calls. `pip install logica-mind` | |