context-compression

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.

Your agent pays twice for output it has already seen. OMNI returns a handle instead: 97.2% off a file read twice. Nothing deleted, nothing invented.

Zed extension for Headroom — context compression for AI agents

DeepSeek Harness plugin: compress tool output, cut up to 20% of context, without touching the context cache or agent performance.

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

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.

Rerank, filter, and compress JSON search results with TypeSafe AI's Jev.

Render agent context as images. Same text, ~60–75% fewer tokens.

Lossless, on-device token-cost reduction for Claude Code and LLM coding agents. Free plugin: compresses tool-result output, dedups context, compacts the system prompt — stacks on Anthropic prompt caching. Rust hot path, Python fallback, fail-open. PolyForm Noncommercial.

Run AI coding agents efficiently, and coordinate more than one of them. Zero fluff, zero runtime deps.

Decentralized agent routing and lifecycle substrate. Coordinates capacity-aware routing, context- pruning workloads, and cryptographic verification across heterogeneous nodes (cloud VMs and local Raspberry Pis).

MCP server that compresses text by removing unnecessary tokens using local LLM surprisal scoring

Deterministic context-compression MCP server for Claude: squeeze codebases, files, and logs to fit token budgets using tree-sitter and tree-walking — no LLM in the loop. (Rust)

Compress LLM tool outputs, save tokens, and recover the original content on demand.

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

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.

Compute before you send: Rust evidence queries and an installable skill for Codex and Claude Code

Local MCP server that compresses source files into high-signal context packs for coding agents. Reversible: get_symbol pulls any elided body back whole.