#Context-window
Showing 39 of 39 repositories tagged #context-window, ranked by stars
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
A super light-weight embedded code search engine CLI (AST based) that just works - saves 70% token and improves speed for coding agent 🌟 Star if you like it!
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/ysC2prTGD
[ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Give Claude Code photographic memory in ONE portable file. No database, no SQLite, no ChromaDB - just a single .mv2 file you can git commit, scp, or share. Native Rust core with sub-ms operations.
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with Claude Code, OpenClaw, and any CLI agent.
Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide.
CLI proxy that reduces LLM token usage by 60-90%. Declarative YAML filters for Claude Code, Cursor, Copilot, Gemini. rtk alternative in Go.
VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.
Supercharge AI Agents, Safely
Config-driven CLI tool that compresses command output before it reaches an LLM context
Claude Code usage governor: compact professional output, context slimming, tool-output filtering, telemetry, and drift guardrails.
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Efficiency | Static analysis for AI | Large Language Model tooling #LLM #AI #Python #CodeAnalysis #ContextWindow #DeveloperTools
A local-first memory layer for AI (Cursor, Zed, Claude). Persistent architectural context via semantic search.
The open source, no-code MCP Server for AI-Native API Access
A unified CLI to install and update token-saving plugins — RTK, Caveman, CodeGraph, and Context-Mode — for Claude Code, OpenCode, Codex, and Antigravity. Minimal setup. Any OS.
A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.
Inject relevant documentation into your prompts: 98% savings.
Transform and optimize your markdown documentation for Large Language Models (LLMs) and RAG systems. Generate llms.txt automatically.
ChatCLI é uma aplicação de linha de comando que utiliza modelos de linguagem como OpenAI, GoogleAI, e outras, para conversas interativas no terminal. Suporta comandos como @history, @git, @env e @file e @command para integrar histórico do shell, Git, variáveis e conteúdos de arquivos.
Analyze your Claude Code context window, detect wasted tokens, and get pasteable fix commands. Zero API calls
Building Agents with LLM structured generation (BAML), MCP Tools, and 12-Factor Agents principles
Know your headroom. Context window usage bar for Claude Code.
Rust CLI implementing the Recursive Language Model (RLM) pattern for Claude Code. Process documents 100x larger than context windows through intelligent chunking, SQLite persistence, and recursive sub-LLM orchestration.
Optimize AI workflows with Arachne. Automatically assembles the perfect code context (Tree, Target, Deps, Semantic) to fit context windows without noise. Built for efficiency and scale.
Light weight Claude Skills and Agents for every day tasks.
MCP-native code retrieval for AI agents — 84-88% fewer read tokens, BM25F + semantic search, AST chunks, session dedup
Dory treats hosted LLM interfaces as disposable tools by offloading state to your local environment and enforcing atomic sessions.
CLI output compressor for Claude Code. Reduces token consumption by 50–90% by compressing verbose command output before it enters the context window. Supports 52+ commands — git, docker, kubectl, npm, terraform, and more.
Unlimited context for Ai — give any LLM a billion-token memory. Open-source, local-first context + memory engine for agents. 🧠⚡
Smart code context extractor for AI assistants
ContextCore: An MCP server for Claude (or any AI tool) that enables massive token saving through hybrid search (BM25 + Embeddings)
A curated list of strategies, tools, papers, and resources for reducing LLM token costs and improving efficiency in production.
`cat project | LLM | patch`. Transparent context control and interactive patching for terminal-centric LLM workflows.
Context Engineering for LLMs: structured notes on RAG, system prompts, MCP, Agents, and Memory Management — compiled from multiple expert sources.
AI coding agent framework — portable, stage-gated harness for Claude Code, Codex, and OpenCode