by alibaizhanov · MCP Server · ★ 178
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Give your AI agents memory that actually learns [Website](ht
| Stars | 178 |
| Forks | 27 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.9954777498912/100 |
| Open Issues | 17 |
| Last Updated | 2026-06-17 |
| Created | 2026-02-10 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~16k |
These tools work well together with mengram for enhanced workflows:
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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 178 GitHub stars.
mengram is primarily written in Python. It covers topics such as agent-memory, ai-agents, ai-memory.
You can find installation instructions and usage details in the mengram GitHub repository at github.com/alibaizhanov/mengram. The project has 178 stars and 27 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 Ori-Mnemos, YourMemory, iai-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.