total-agent-memory

MCP server · PyPI · ★ 73 · graded 2026-10-19Source linked

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.

No outside reports on file

total-agent-memory is distributed via PyPI (total-agent-memory); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

Local filesNo local folder access notedLOW
Command executionNo shell command runner notedLOW
Network reachLocal or standard API callsLOW
CredentialsNo API token requiredLOW
Package sourcePyPI (total-agent-memory)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

uvx total-agent-memory

All setup options ↓

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Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-19.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Total Agent Memory

Total Agent Memory is an MCP server focused on Developer tools and Memory & knowledge: 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.

It is published on PyPI as total-agent-memory and hosted on GitHub at vbcherepanov/total-agent-memory (73 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

These use the package this listing points to. Check the project’s own instructions before running anything.

PyPI command

uvx total-agent-memory

PyPI (pip) command

pip install total-agent-memory

MCP client config

For Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json).

json

{
  "mcpServers": {
    "total-agent-memory": {
      "command": "uvx",
      "args": [
        "total-agent-memory"
      ]
    }
  }
}

Why this grade

CC — Moderate risk signals

Signal-based grade (2/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

26/100

GitHub stars: 73
Listing last refreshed: 2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

Dependency & version pinning: Distributed via PyPI (total-agent-memory). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

Check its activity history or logs weekly at first, and look at what it changed or sent.
Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

It asks for more access than its job requires, or prompts you to paste passwords.
It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Total Agent Memory?

Run uvx total-agent-memory (or pip install total-agent-memory) in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page. Full setup docs and environment variables are in github.com/vbcherepanov/total-agent-memory.

Are there security reports about Total Agent Memory?

No reports found for this package in our research (last checked 2026-10-30). Total Agent Memory currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.

Is Total Agent Memory actively maintained?

Total Agent Memory has 73 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/vbcherepanov/total-agent-memory before pinning it in production.

What are alternatives to Total Agent Memory?

You can compare Total Agent Memory side by side with other Memory MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

Maintain or use Total Agent Memory? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Total Agent Memory

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Total Agent Memory](https://agentarmorhq.com/api/badge/vbcherepanov-total-agent-memory)](https://agentarmorhq.com/skills/vbcherepanov-total-agent-memory)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/vbcherepanov-total-agent-memory"><img src="https://agentarmorhq.com/api/badge/vbcherepanov-total-agent-memory" alt="AgentArmorHQ Risk Grade for Total Agent Memory" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "vbcherepanov-total-agent-memory"

Share with your security lead

Need sign-off to use total-agent-memory? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: total-agent-memory
- **Listing URL:** https://agentarmorhq.com/skills/vbcherepanov-total-agent-memory
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 73 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** PyPI (total-agent-memory)

#### Recommended Hardened Setup
- **Command:** `uvx total-agent-memory`
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Publisher: vbcherepanov
Source code: github.com/vbcherepanov/total-agent-memory
Install command: pip install total-agent-memory
Est. context load: ~900 tokens / turn (~5 tool schemas, 0.45% of 200k context)
Popularity: 73 GitHub stars
Last updated: 2026-10-29
Last graded: 2026-10-19

Community

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