Awesome Angular
Section: AI · MCP Server with up-to-date code documentation for LLMs and AI code editors.
FreshScore 91
Entry
Context7
Appears in 6 awesome lists
MCP server and CLI that injects up-to-date, version-specific library documentation directly into agent context, eliminating hallucinated APIs and outdated code examples caused by stale training data. Ships as both a ctx7 command-line tool and an MCP server with resolve-library-id and query-docs…
Open github.comupstash/context7
Found in these lists
Awesome Harness Engineering
Section: Context Delivery & Compaction · MCP server and CLI that injects up-to-date, version-specific library documentation directly into agent context, eliminating hallucinated APIs and outdated code examples caused by stale training data. Ships as both a ctx7 command-line tool and an MCP server with resolve-library-id and query-docs…
FreshScore 88
Awesome local LLM
Section: Miscellaneous · up-to-date code documentation for LLMs and AI code editors
FreshScore 87
Awesome Open Source AI
Section: 13. Developer Tools & Integrations · Up-to-date code documentation for LLMs and AI code editors. Fetches latest docs and code examples directly into LLM context via MCP. Eliminates hallucinated APIs. MIT licensed.
FreshScore 89
Awesome Production Machine Learning
Section: Industry Strength Natural Language Processing · Context7 provides up-to-date code docs for prompts and AI coding agents.
FreshScore 92
Awesome Vibe Coding
Section: Documentation for AI Coding · Delivers up-to-date, version-specific documentation directly into LLM prompts. MCP server + CLI.
ActiveScore 72
Often listed next to it
OpenViking
ByteDance's context database for AI agents that unifies memory, resources, and skills through a filesystem paradigm, enabling hierarchical context delivery where agents pull only the paths they need instead of receiving bloated monolithic prompts. The self-evolving layer that restructures context…
In 7 listsDetails
Effective Context Engineering for AI Agents
Anthropic's systematic guide to managing the full context state—system prompts, tools, MCP, and message history—as a finite, curated resource. Reframes harness design as "what configuration of context produces the desired behavior?" rather than just prompt wording.
In 5 listsDetails
codebase-memory-mcp
High-performance code intelligence MCP server that full-indexes repositories into a persistent knowledge graph via tree-sitter AST analysis across 66 languages. Replaces dozens of file-read/grep cycles with sub-millisecond structured queries, cutting active tokens by 120× and turning codebase…
In 5 listsDetails
repomix
📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, and Gemini.
In 4 listsDetails
Gitingest
Turn any Git repository into a simple text digest of its codebase. This is useful for feeding a codebase into any LLM.
In 4 listsDetails
Augment Code
AI coding platform with deep cross-repo codebase understanding via its Context Engine, built for large enterprise codebases.
In 4 listsDetails
deep-chat
Fully customizable AI chatbot component for your website. Supports OpenAI, direct API services, and custom endpoints. MIT licensed.
In 4 listsDetails
Harness Engineering
OpenAI's framing of harness engineering as a discipline: how to design the scaffolding that lets Codex and similar agents operate reliably in an agent-first world.
In 4 listsDetails