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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
| Date | Stars |
|---|---|
| 2026-07-31 | 3881 |
| 2026-08-03 | 3881 |
| 2026-08-04 | 3880 |
| 2026-08-06 | 3880 |
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# Continuous Claude > A persistent, learning, multi-agent development environment built on Claude Code [](LICENSE) [](https://claude.ai/code) [](#skills-system) [](#agents-system) [](#hooks-system) **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. ## Table of Contents - [Why Continuous Claude?](#why-continuous-claude) - [Design Principles](#design-principles) - [How to Talk to Claude](#how-to-talk-to-claude) - [Quick Start](#quick-start) - [Architecture](#architecture) - [Core Systems](#core-systems) - [Skills (109)](#skills-system) - [Agents (32)](#agents-system) - [Hooks (30)](#hooks-system) - [TLDR Code Analysis](#tldr-code-analysis) - [Memory System](#memory-system) - [Continuity System](#continuity-system) - [Math System](#math-system) - [Workflows](#workflows) - [Installation](#installation) - [Updating](#updating) - [Configuration](#configuration) - [Contributing](#contributing) - [License](#license) --- ## Why Continuous Claude? Claude Code has a **compaction problem**: when context fills up, the system compacts your conversation, losing nuanced understanding and decisions made during the session. **Continuous Claude solves this with:** | Problem | Solution | |---------|----------| | Context loss on compaction | YAML handoffs - more token-efficient transfer | | Starting fresh each session | Memory system recalls + daemon auto-extracts learnings | | Reading entire files burns tokens | 5-layer code analysis + semantic index | | Complex tasks need coordination | Meta-skills orchestrate agent workflows | | Repeating workflows manually | 109 skills with natural language triggers | **The mantra: Compound, don't compact.** Extract learnings automatically, then start fresh with full context. ### Why "Continuous"? Why "Compounding"? The name is a pun. **Continuous** because Claude maintains state across sessions. **Compounding** because each session makes the system smarter—learnings accumulate like compound interest. --- ## Design Principles An agent is five things: **Prompt + Tools + Context + Memory + Model**. | Component | What We Optimize | |-----------|------------------| | **Prompt** | Skills inject relevant context; hooks add system reminders | | **Tools** | TLDR reduces tokens; agents parallelize work | | **Context** | Not just *what* Claude knows, but *how* it's provided | | **Memory** | Daemon extracts learnings; recall surfaces them | | **Model** | Becomes swappable when the other four are solid | ### Anti-Complexity We resist plugin sprawl. Every MCP, subscription, and tool you add promises improvement but risks breaking context, tools, or prompts through clashes. **Our approach:** - **Time, not money** — No required paid services. Perplexity and NIA are optional, high-value-per-token. - **Learn, don't accumulate** — A system that learns handles edge cases better than one that collects plugins. - **Shift-left validation** — Hooks run pyright/ruff after edits, catching errors before tests. The failure modes of complex systems are structurally invisible until they happen. A learning, context-efficient system doesn't prevent all failures—but it recovers and improves. --- ## How to Talk to Claude **You don't need to memorize slash commands.** Just describe what you want naturally. ### The Skill Activation System When you send a message, a hook injects context that tells **Claude** which skills and agents are relevant. Claude infers from a rule-based system and decides which tools to use. ``` > "Fix the login b
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:7560887e6b9fe690, topic:agents, desc:agent orchestration
matched fp:7560887e6b9fe690, topic:mcp