by labazhou2024 · MCP Server · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
A traceable personal memory layer that carries verified state across apps, models, and AI agents.
| Stars | 55 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 53.861909770412/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-24 |
| Created | 2026-05-14 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~13k |
These tools work well together with memexa for enhanced workflows:
Looking for a memexa alternative? If you're comparing memexa with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Local, LLM-free memory for AI agents. A single offline Rust binary — deterministic and auditable — that learns
Agent harness for codebases. Gives Claude Code, Codex, and CI a shared task system, verdict ledger, and state
DeepContext is an MCP server that adds symbol-aware semantic search to Claude Code, Codex CLI, and other agent
Sync and store memories, shared identity files (AGENTS.md, CLAUDE.md), session transcripts, institutional know
Persistent memory for AI coding agents
Portable SKILLs workspace for Claude Code, Codex, and Gemini — issue-driven workflows and cross-agent collabor
Explore other popular mcp server tools:
memexa is A traceable personal memory layer that carries verified state across apps, models, and AI agents.. It is categorized as a MCP Server with 55 GitHub stars.
memexa is primarily written in Python. It covers topics such as agent-memory, ai-agents, chinese-nlp.
You can find installation instructions and usage details in the memexa GitHub repository at github.com/labazhou2024/memexa. The project has 55 stars and 4 forks, indicating an active community.
memexa is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to memexa on Agent Skills Hub include shodh-memory, maestro, deepcontext-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.