Continuous-Claude-v3: Context management for Claude Code

by parcadei · MCP Server · ★ 3.9k

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

Featured in: Claude Code Hooks, Subagents & Statusline

How to install Continuous-Claude-v3

git clone https://github.com/parcadei/Continuous-Claude-v3.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 73/100

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. Full audit →

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.

agentsclaude-codeclaude-code-cliclaude-code-hooksclaude-code-mcpclaude-code-skillsclaude-code-subagentsclaude-skillsmcp

Quick Facts

Stars3,943
Forks300
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score73/100
Open Issues47
Last Updated2026-01-26
Created2025-12-23
Platformsclaude-code, cli, mcp, python
Est. Tokens~99k

About Continuous-Claude-v3

Continuous Claude A persistent, learning, multi-agent development environment built on Claude Code Continuous Claude transforms Claude Code into a continuously learning system that maintains context across sessions, orchestrates specialized agents, and eliminates wasting tokens through intelligent code analysis.

Continuous-Claude-v3 alternative? Top 6 similar tools

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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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