Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project analogy. LongMemEval R@5 95.1%, LoCoMo 0.607, BEAM 1M 0.448. 74 MCP tools, 9 IDEs, 100% local.
Last commit October 29, 2026, 14 days ago.
74 GitHub stars and 0 Honeystax upvotes. 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.
Starts at 6. Added: GitHub health 42/100 +14, no security policy +8, no contributing guide +4, no code of conduct +3.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if total-agent-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/vbcherepanov/total-agent-memory && cd total-agent-memory && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf total-agent-memoryNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ total-agent-memory/ ← clones here
total-agent-memory is listed on Honeystax as a Plugin for Multiple, since May 16, 2026. Its code is at github.com/vbcherepanov/total-agent-memory, with 74 GitHub stars and 1 open issues. Last commit October 29, 2026, 14 days ago. GitHub's community health check gives it 42 out of 100.
Source: GitHub repository
Source check: November 2, 2026
Upstream commit: October 29, 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.