agentkeeper: Own your AI memory — import ChatGPT, Claude and Gemini exports, see what each AI knows about you

by Thinklanceai · MCP Server · ★ 120

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install agentkeeper

pip install agentkeeper-ai
pip install 'agentkeeper-ai[anthropic]'   # Claude

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-memoryagentic-aiagentsai-agentsai-memoryanthropicclaudecognitive-continuitycross-modelembeddings

Quick Facts

Stars120
Forks17
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score70/100
Last Updated2026-06-09
Created2026-02-24
Platformsclaude-code, gemini, mcp, python
Est. Tokens~24k

About agentkeeper

AgentKeeper Cognitive continuity infrastructure for long-lived AI agents. Your agent survives model switches, crashes, context-window limits, and restarts — with the same identity, memory, and priorities it had before. Why this exists Agents don't fail because they forget facts.

Compatible Skills

These tools work well together with agentkeeper for enhanced workflows:

  • vektori — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (57%)
  • honcho — semantic(0.43)+complementary+same_lang+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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