by alibaizhanov · MCP Server · ★ 165
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Give your AI agents memory that actually learns [Website](ht
| Stars | 165 |
| Forks | 22 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 52.052/100 |
| Open Issues | 7 |
| Last Updated | 2026-05-12 |
| Created | 2026-02-10 |
| Platforms | mcp, python |
| Est. Tokens | ~154k |
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mengram is Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.. It is categorized as a MCP Server with 165 GitHub stars.
mengram is primarily written in Python. It covers topics such as ai-agents, ai-memory, cognitive-profile.
You can find installation instructions and usage details in the mengram GitHub repository at github.com/alibaizhanov/mengram. The project has 165 stars and 22 forks, indicating an active community.
mengram is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mengram on Agent Skills Hub include Octopoda-OS, corpusos, Ori-Mnemos. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.