Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
Continuous Claude is a context management and agent orchestration framework built on top of Claude Code that addresses the platform's context compaction problem, where accumulated conversation history is collapsed and nuanced session decisions are lost. It does this through three interlocking systems: 109 natural-language-triggered skills, 32 specialized subagents (including scout for codebase exploration and oracle for research), and 30 hooks that fire automatically during the Claude Code lifecycle. A YAML-based handoff system transfers state between sessions more token-efficiently than prose summaries, while a background daemon extracts learnings after each session and surfaces them on resumption. The TLDR code analysis layer performs five-pass semantic indexing so Claude reads compressed file representations rather than raw source, reducing token burn. Hooks also run pyright and ruff immediately after edits to catch errors before tests run. Users interact in plain language rather than slash commands, and a hook injects skill-activation suggestions into each message. The system targets developers doing long, multi-session projects in Claude Code who need compounding institutional memory rather than perpetual cold starts.
- ✓Open-source license (MIT)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- !Inactive (>180d)
git clone https://github.com/parcadei/Continuous-Claude-v3 && cp Continuous-Claude-v3/*.md ~/.claude/agents/24 items en este repositorio
Build Python agents using Agentica SDK - spawn agents, implement agentic functions, multi-agent orchestration
Extract perception changes from session thinking blocks and store as learnings
Create implementation plans using research, best practices, and codebase analysis
Resumen de Subagents
Lo que la gente pregunta sobre Continuous-Claude-v3
¿Qué es parcadei/Continuous-Claude-v3?
+
parcadei/Continuous-Claude-v3 es subagents para el ecosistema de Claude AI. Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows. Tiene 3.9k estrellas en GitHub y su última actualización registrada es del 2026-01-26.
¿Cómo se instala Continuous-Claude-v3?
+
Puedes instalar Continuous-Claude-v3 clonando el repositorio (https://github.com/parcadei/Continuous-Claude-v3) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar parcadei/Continuous-Claude-v3?
+
Nuestro agente de seguridad ha analizado parcadei/Continuous-Claude-v3 y le ha asignado un Trust Score de 77/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene parcadei/Continuous-Claude-v3?
+
parcadei/Continuous-Claude-v3 es mantenido por parcadei. La última actividad registrada en GitHub es del 2026-01-26, con 46 issues abiertos.
¿Hay alternativas a Continuous-Claude-v3?
+
Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
Despliega Continuous-Claude-v3 en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/parcadei-continuous-claude-v3)<a href="https://claudewave.com/repo/parcadei-continuous-claude-v3"><img src="https://claudewave.com/api/badge/parcadei-continuous-claude-v3" alt="Featured on ClaudeWave: parcadei/Continuous-Claude-v3" width="320" height="64" /></a>Más Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The agent engineering platform.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.