context-window

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, 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 - improves speed and efficiency 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.

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.

Save tokens. Maximize context, Safely

AI context optimization platform for files, conversations, RAG, code, logs and AI agents with context compression, evidence preservation, content-addressed recovery and auditable Context Receipts.

Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide.

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.

Claude Code usage governor: compact professional output, context slimming, tool-output filtering, telemetry, and drift guardrails.

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.

A curated list of strategies, tools, papers, and resources for reducing LLM token costs and improving efficiency in production.

Dory treats hosted LLM interfaces as disposable tools by offloading state to your local environment and enforcing atomic sessions.

A SillyTavern extension providing a multi-tier memory and narrative context system for AI roleplay. Tracks character facts, relationship history, per-character knowledge and secrets, entity state, scene history, story arcs, and rolling summaries - extracted automatically so your AI stays coherent no matter how long the story runs.

[ICLR 2025] Official code repository for "TULIP: Token-length Upgraded CLIP"

KV cache middleware for 1M context on 12GB VRAM. Uses K vectors as a retrieval index to fetch V on-demand from system RAM. No model modification, no retraining. Drop-in HuggingFace cache replacement.

🧠 The Complete Guide to Context Engineering — Research Papers, Blogs, YouTube Videos, Tools & Best Practices for LLM Context Window Optimization