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.
Global
You can. Models write decent HTML now. The problem is the bill you pay in output tokens: the model has to type every line of CSS, every wrapper div and every SVG coordinate.
上下文压缩插件,月级长会话会话, 兼顾小窗口(100k上下文足矣)省token(省5倍token) . billion-context is all you need
RTK cuts up to 90% of the bash output your agent reads. That is what RTK measures, and it is not the same as cutting your bill by 90%.
OpenViking is an open-source context database for AI agents. It stores memories, resources, and skills as one virtual filesystem under the viking:// protocol, so an agent browses its own context with ls, tree, and find instead of querying a black-box vector store.
What it does · Why · Get started · Maturity · Benchmarks · CLI · Graph output · Cross-file coverage · Run locally
Step Code runs in your terminal and handles the full task loop—reading code, making changes, and running tests\. It works with the Step provider and discovers the available Step models after sign\-in\.
One command sets up everything. install detects which AI coding tools you have, writes the correct MCP configuration for each one, installs platform-native hooks/skills where supported, and injects graph-aware instructions into your platform rules.
NOTE] > This repository contains the open-source version of SoL-Pi, a standalone extension for Pi. It is not an official distribution of Pi.
Development on DCP has slowed because most new context-management work has moved to Sleev and the sleev CLI. Sleev is a local proxy for Claude Code, Codex, and OpenCode that builds on DCP's core ideas with newer context-management features and will work with any harness/client.
FrontierHarness Eval benchmark result, click here to download report.zip
LeanCTX is the Context Gateway for AI Systems. Select task-relevant context, apply supported controls, connect local knowledge and inspect recorded evidence. Open-source Engine: CLI, MCP, hooks and supported proxy paths.
No Anthropic or OpenAI API key is required when the corresponding CLI is already logged in with a subscription. Every CLI argument is forwarded:
IMPORTANT] > Experimental reference implementation. Astra-Ares has a straightforward setup, but runs a separate, patched version of Codex CLI.
MCP server for token-efficient large document analysis via the use of REPL state