total-agent-memory
Reduces repeated context-gathering and decision loops by retaining extracted knowledge across Claude sessions.
Persistent memory for Claude Code & Codex CLI. Auto-extracted knowledge graph, multi-representation embeddings, 3D WebGL visualization. LongMemEval R@5=97.45%. Self-hosted, Ollama-optional
- Multi-session codebase refactoring with consistent style rules
- Iterative ML model training tracking knowledge across runs
- Long-duration debugging sessions preserving error patterns
Reduces repeated context-gathering and decision loops by retaining extracted knowledge across Claude sessions. Improves agent consistency and reduces token waste on re-explaining domain context.
Development teams using Claude Code or Codex CLI who need agents to build long-running projects without losing learned patterns and architectural decisions.
https://github.com/vbcherepanov/total-agent-memory
By vbcherepanov
How to Get It
claude plugins install vbcherepanov/total-agent-memory
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me multi-session codebase refactoring with consistent style rules
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 48 GitHub stars; contributors unknown; last commit 9d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 48 GitHub stars; contributors unknown; last commit 9d ago; license MIT.