code-review-graph: Local Knowledge Graph for Claude Code with 6.8×–49× Token Reduction
A community-built Python tool that constructs a persistent local knowledge graph of a codebase to optimize Claude Code's context usage. Claims 6.8× token reduction on code reviews and up to 49× on daily coding tasks by feeding the model only relevant code sections. The project has accumulated 16,880 stars with 123 added today, indicating strong community traction.
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CodeGraph: Pre-indexed Local Code Knowledge Graph for AI Coding Agents
CodeGraph is an open-source TypeScript tool that builds a pre-indexed knowledge graph of a codebase to reduce token usage and tool calls for AI coding agents including Claude Code, Codex, Cursor, OpenCode, and Hermes Agent. It runs entirely locally, positioning itself as an efficiency layer between codebases and LLM-based coding assistants. The project gained significant traction with 3,688 stars in a single day, reaching 16,371 total stars.
Anthropic launches Claude 2 with 100K context window and improved coding, reasoning, and safety
Anthropic released Claude 2, featuring a 100K token context window, improved performance on coding (71.2% on Codex HumanEval, up from 56.0%), math (88.0% on GSM8k), and legal reasoning (76.5% on the Bar exam multiple choice section). The model is available via API at the same price as Claude 1.3 and through a new public beta at claude.ai for US and UK users. Safety improvements include a 2x reduction in harmful outputs on internal red-team evaluations compared to Claude 1.3. Early API partners include Jasper and Sourcegraph.
anthropics/claude-code: Agentic Terminal Coding Tool Trending on GitHub
Claude Code is an agentic coding tool developed by Anthropic that operates in the terminal, enabling natural language interaction with codebases for tasks like code execution, explanation, and git workflow management. The repository has accumulated 127,316 stars with 323 added today, indicating sustained community interest. It represents Anthropic's direct entry into the developer tooling space with an agent-oriented product.
shareAI-lab/learn-claude-code: Minimal Claude Code-style Agent Harness in Python
A GitHub repository implementing a minimal 'nano' version of a Claude Code-style agent harness built from scratch in Python, using Bash as the primary tool interface. The project has accumulated 62,802 stars with 262 added today, indicating significant community interest. It serves as an educational resource for understanding how agentic coding assistants like Claude Code are structured at a low level.
claude-skills: 313+ Skill/Plugin Collection for Claude Code and Multi-Agent Coding Tools
A GitHub repository providing 313+ reusable skills, agent plugins, and workflow templates targeting Claude Code, Codex, Gemini CLI, Cursor, and eight other coding agents. Coverage spans engineering, marketing, compliance, C-level advisory, finance, and productivity domains. The project has accumulated 15,476 stars with 157 added today, indicating strong community traction. It represents a growing ecosystem of structured prompt/skill libraries designed to extend AI coding agents beyond pure code generation.
claude-bug-bounty: autonomous bug bounty hunting tool built on Claude Code
A Python tool on GitHub integrates Claude Code to automate bug bounty hunting workflows from the terminal, covering reconnaissance, 20 vulnerability classes, autonomous hunting, and report generation. The project has accumulated 2,745 stars with 203 added today, indicating significant community traction. It represents a concrete agentic use case of Claude Code for offensive security automation.
Claude Opus 4.6 Released with 1M Token Context, Agentic Coding Advances, and State-of-the-Art Benchmarks
Anthropic has released Claude Opus 4.6, its most capable model to date, featuring a 1M token context window in beta, improved agentic coding and planning capabilities, and adaptive thinking with developer-controlled effort levels. The model claims top scores on Terminal-Bench 2.0, Humanity's Last Exam, GDPval-AA, and BrowseComp, outperforming OpenAI's GPT-5.2 by 144 Elo points on GDPval-AA. New product features include agent teams in Claude Code, context compaction for long-running tasks, and Claude in PowerPoint (research preview). Pricing remains unchanged at $5/$25 per million input/output tokens.
Claude 3.7 Sonnet and Claude Code: Anthropic's First Hybrid Reasoning Model and Agentic Coding Tool
Anthropic has released Claude 3.7 Sonnet, described as their most capable model to date and the first hybrid reasoning model on the market, capable of operating in both standard and extended thinking modes within a single unified model. The model achieves state-of-the-art results on SWE-bench Verified and TAU-bench, with particular strength in coding and front-end web development. Alongside the model, Anthropic is launching Claude Code in limited research preview, a command-line agentic coding tool that can read/edit files, run tests, and push to GitHub. Pricing remains unchanged at $3/M input and $15/M output tokens, with availability across Claude.ai plans, Amazon Bedrock, and Google Cloud Vertex AI.