Pre-injection context compression and session deduplication for AI coding agents: squeeze tool output, code, JSON and logs before they reach the LLM

Context compression for AI coding agents: compresses tool output before it enters the model, dedups repeats to 13-token refs. Claude Code, Cursor, Codex, Kiro, Zed, any MCP client. Rust, zero LLM calls.

Rust-native context compression for Claude Code, Codex & MCP agents: filters & compresses noisy tool output (tests, diffs, logs, JSON, provider traffic) before it reaches the LLM — fewer wasted tokens, full evidence recoverable. Local-first, Apache-2.0. Pairs with Code Explorer.

Claude Code context engine — pack, compress, and optimize any codebase for AI. Save 60-90% tokens.

See more code. Get better answers. Context optimization MCP server for LLMs — compresses code structurally so models can reason over entire files without losing logic.

AI context engine for Claude Code, Cursor, Windsurf — pack, compress, and optimize any codebase. Save 60-90% tokens. Web dashboard on port 7456.

Context compression plugin for Claude Code. Automatically trims large tool output—JSON, YAML, stack traces, and logs—before it enters the context window.

Lossless-by-default context compression for LLM coding agents — proxy, library, CLI, and MCP server. Local-first, cache-correct, reversible.

MCP server for image-and-video-compressor — lets coding agents compress images and videos, probe media, and discover what the local ffmpeg and sharp builds actually support.

Long-term memory for AI agents with no LLM call: an MCP server and Claude Code plugin, plus local-first context compression for LLM apps.

Reduce Claude Code token usage by 70-90% using a free local LLM (Ollama). MCP server + Stop hook with codebase indexing, tool output compression, and turn summarization.

Lossless-by-default context compression for LLM coding agents — HTTP proxy, CLI, and MCP server.

Verified context for AI coding agents. A local context layer that intelligently compresses, filters, indexes, and verifies AI coding-agent tool output. 32 MCP tools across 10 layers: code intelligence (tree-sitter, 30+ languages), context selection, tool

Self-hosted AI workspace that compresses prompts before they leave your machine — 79% fewer tokens, measured. Drop-in gateway for Claude Code, Cursor, Aider and any OpenAI/Anthropic client, plus an MCP server. Free, MIT, zero telemetry.

Turn any folder or Git repo into safe, token-efficient context for LLMs, AI chats, and coding agents like Claude Code, Codex, and Cursor — local-first GUI, TUI, CLI, and a read-only MCP server with Live Context, agent journal, Smart Ignore, secret/PII redaction, Git scopes, and code compression. Windows, macOS, Linux.

Reduce Claude Code token usage by 70-90% with cross-session memory and four-layer optimization: semantic codebase indexing, PostToolUse tool compression, turn summarization, and session consolidation. MCP server powered by Ollama — zero API calls, runs en

Zero-dependency, fully-reversible context compression for AI agents — cut LLM token usage up to 94% (JSON tabularization, log template mining, query-aware code skeletons). Stdlib-only, air-gap ready, built-in MCP server.

Local MCP server with exact file tools for AI assistants: compress, resize and convert images (HEIC, WebP, AVIF), strip EXIF/GPS metadata, make and read QR codes, exact text counts, diff, JSON validation. Files never leave your computer.

Model Context Protocol (MCP) server for image resizing, conversion, compression and watermarking. Resize, convert, compress and watermark images, pure JavaScript. Works with Claude Desktop, Claude Code and Cursor.

Token and context optimization for AI coding agents with smart compression, retrieval, recovery, routing, and MCP integrations.

Screenshot capture, AI analysis, OCR, visual regression testing, token compression — headless server + MCP tools for AI coding CLIs

Contextro — AI-native code intelligence MCP server: hybrid search, code graph, semantic memory, commit history, progressive disclosure, AST compression

AI codebase context tool that analyzes, ranks, and compresses repositories into optimized context files for LLMs, AI coding assistants, and MCP workflows.

Total recall for Claude Code. MCP server that indexes conversation history into SQLite — search past sessions, recover context after compression, and give parallel agents visibility into each other's work.

The Autonomous Context Firewall & MCP Server for AI Coding Agents. Compress noisy test logs by 90%+ and extract Python AST skeletons at 0 LLM tokens.

Compression Runtime for Universal eXecution — a 60–95% token reducer for AI coding agents (Claude Code, Cursor, Cline, …). Single Rust binary, SQLite, 11 layers, local-first.

🧠 MCP Server that reduces AI coding agent token usage by 80-99%. Knowledge graph + persistent memory + smart compression for Claude, Cursor, Copilot, and any MCP-compatible agent.

MCP code-intelligence server for AI agents — a more complete and more correct call graph with classified, cross-file edges. 8 facade MCP tools, 13 curated skills, TOON-compressed output, 100% local.

Anchored memory MCP server for AI coding agents — binds decisions to code symbols, delivers context just-in-time. Works with Claude Code, Codex CLI, Cursor, Windsurf, Gemini CLI. No ML required. One SQLite file. 56x token compression.

Hook-based token compressor for 7 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI, Pi, Hermes). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, self-teaching protocol. Zero runtime deps.

Cut LLM token spend with zero dependencies. AURA answers recurring prompts free from cache, compresses conversation history, and distills bloated system prompts. CLI, MCP server (Claude, Cursor, Claude Code) and library.

MCP server for Brazilian data and document tools: Pix BR Codes, CEP/CNPJ lookup, official Central Bank rates, web capture and PDF compression. Pay-per-call in USDC on Base via x402 — no signup, no API key.

First MCP server for data compression. 60x compression on docs, 30x on SQL, 20x on logs. Zero dependencies. Lossless. Auto-picks best algorithm. 7 tools for any AI agent.

Rust MCP server for lossless agent-context compression, reducing token usage while preserving retrieval accuracy.

Compress logs for LLM analysis — Rust-powered, Python API. 40-60% token savings.

Measure what context compression actually costs an LLM agent: where a session's tokens go, and whether a rewrite pays for the prompt cache it invalidates. Rust crate, MCP server and benchmark harness.

MCP server for code context with semantic search, AI analysis and summary

⚜️ An MCP server for context compaction and recycling in Claude Code

Local-first MCP memory and code intelligence that helps coding agents recall repo context, decisions, failures, and review impact.

The local-first brain for coding agents: project memory + workflow intelligence + lossless ~50% context savings. MCP server + LLM proxy, zero cloud.

Local Ollama-backed MCP server for Claude Code. Query large files without burning context (~30x token savings)

Compact coding-agent context without summarizing it away. Verbatim, offline, with a receipt and recall for every cut. CLI, MCP server, Claude Code plugin. MIT.

Zero-dependency AI agent context baton & diet suite. Hand off sessions between Claude Code, Codex, Gemini, and Cursor with 80% fewer tokens.

🛡️ Ultra-fast local security firewall, secret sanitizer, and context token compressor for Claude Code, Cursor, and MCP AI agents.

AI-Native 0-Token Causal Memory Engine 2.0 with SQLite WAL atomic transactions and MCP server

AI-Native 0-Token Causal Memory Engine 2.0 with SQLite WAL atomic transactions and MCP server

An economical and fuel(token) efficient AI tool, graph session memory for looong chat session

Zero-dependency context & token optimizer for Claude Code, Codex CLI, and Google Antigravity. Cuts terminal output by up to 96.4% to prevent context window exhaustion.

Shrinks your AI agent's tool output so it burns fewer tokens, without changing what the agent reads. Lossless by default, no decode step.

💎 Semantic Context Compressor, Live Token/USD Cost Calculator & Adaptive Model-Tier Router MCP Server — Cut LLM token bills by 85% across Claude Code, Cursor, VS Code, Codex & Antigravity.

100% Free Developer Tier (zero API keys, zero wallet required): 15 deterministic AI agent & developer tools: AST context skeleton pruner, BPE token budget planner, BM25+RRF+MMR hybrid reranker, self-healing fuzzy diff patcher, polyglot AST symbol & comple

Universal, deterministic context compressor for AI coding agents & IDEs (Claude Code, Cursor, Antigravity, Codex, Gemini, Hermes) — 88.3% token reduction, lossless TOON v2 JSON tables, AST code skeletonization, and SQLite WAL + Zstd CCR (#c1) recovery over stdio MCP.

Local-first MCP server + CLI that gives terminal AI agents an endless semantic memory via Anchored Compacting, keeping the context window small.

Coding-agent orchestration and MCP context runtime with governed repository execution, bounded tool results, and multi-agent session management.

Model Context Protocol (MCP) server for zip archives: create, inspect and extract. Make a zip, look inside one, and unpack one, entirely on your machine. Works with Claude Desktop, Claude Code and Cursor.

Drop-in OpenAI / Anthropic / Gemini BaseURL Proxy & Edge MCP Server (~0.04ms). Cut LLM input tokens by 60–99% via AST code skeletons, JSON pruning & stream healing with 1 line of config.

100% Free Developer Tier (zero API keys, zero wallet required): 15 deterministic AI agent & developer tools: AST context skeleton pruner, BPE token budget planner, BM25+RRF+MMR hybrid reranker, self-healing fuzzy diff patcher, polyglot AST symbol & complexity analyzer, Tarjan circular dependency detector, stack-trace root-cause isolator,

Auditable context capsules for LLM handoffs, coding agents, and OpenCode MCP workflows.

Archive format built for AI agents: deterministic, content-addressed .tsr archives with per-file reads, grep and an MCP server, verified byte for byte. Rust, format v1 frozen.

MCP server for Claude Code, powered by the v4 semantic runtime: builds persistent, budget-aware repository intelligence from AST/graphs, serves bounded context packages, preserves agent state across /compact, and provides end-to-end edit impact analysis in a single Rust binary.