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total-agent-memory

Skill Development Usable

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

48 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

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.

Claude Code Claude Cowork Claude Chat

https://github.com/vbcherepanov/total-agent-memory

By vbcherepanov

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install vbcherepanov/total-agent-memory

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars48Last updated2026-05-26LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-04 · scanner v1

Community Pulse Growing

Discussed on Reddit

8 mentions across 1 sources

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.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 48 GitHub stars; contributors unknown; last commit 9d ago; license MIT.

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