The lightest universal AI memory layer. One SQLite file, any LLM, zero cloud. MCP + HTTP + CLI. Smart Recall, Knowled...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 100/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Claude Code
Model
Claude
Fastest way to find out if memesh-llm-memory belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/PCIRCLE-AI/memesh-llm-memory && cd memesh-llm-memory && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf memesh-llm-memoryNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ memesh-llm-memory/ ← clones here
The lightest universal AI memory layer. One SQLite file, any LLM, zero cloud. MCP + HTTP + CLI. Smart Recall, Knowledge Evolution, Auto-Capture, Interactive Dashboard.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: May 13, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.