Persistent local memory layer for AI. Glia uses a Chrome extension and a native MCP server to sync context and decisi...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
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
Multiple
Model
Claude
Fastest way to find out if Glia-AI belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add glia-ai -- npx glia-aiRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove glia-aiNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ glia-ai ← registers here
Persistent local memory layer for AI. Glia uses a Chrome extension and a native MCP server to sync context and decisions from your browser chats (Claude, ChatGPT, DeepSeek) straight to your local IDE agents (Cursor, Claude Code, Windsurf) powered by a local SQLite knowledge graph.
Source: GitHub repository
Source check: July 21, 2026
Upstream commit: July 7, 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.