Persistent cognitive architecture for Claude Code — graph memory with learned retrieval (98.2% R@5), automatic extrac...
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.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 42/100. no security policy. 4 open issues make this testable, but not something to trust blind.
AI Agent
Claude Code
Model
Claude
Fastest way to find out if kongcode belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/42U/kongcodeRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/42U/kongcodeNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ kongcode/ ← installs here └─ settings.json
Persistent cognitive architecture for Claude Code — graph memory with learned retrieval (98.2% R@5), automatic extraction of concepts, causal chains, skills, and corrections, emergent identity via soul graduation. SurrealDB + BGE-M3.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: June 27, 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.