by buildingjoshbetter · MCP Server · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
A living memory system that ingests long-horizon data to infer insights, enabling more decisive action, all while running on a single SQLite file locally.
| Stars | 55 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 32.25/100 |
| Open Issues | 32 |
| Last Updated | 2026-05-13 |
| Created | 2026-03-18 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~2080k |
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TrueMemory is A living memory system that ingests long-horizon data to infer insights, enabling more decisive action, all while running on a single SQLite file locally.. It is categorized as a MCP Server with 55 GitHub stars.
TrueMemory is primarily written in Python. It covers topics such as agent-memory, ai, ai-agents.
You can find installation instructions and usage details in the TrueMemory GitHub repository at github.com/buildingjoshbetter/TrueMemory. The project has 55 stars and 8 forks, indicating an active community.
TrueMemory is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to TrueMemory on Agent Skills Hub include iai-mcp, ClawMem, hivemind. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.