v2.7.2 · Apache-2.0
Content-aware output compression for AI coding assistants. 36 specialized processors cut CLI output tokens by 60-99% (git, pytest, npm, terraform, kubectl, docker, and more) without losing errors, diffs, or stack traces.
v1.0.2 · MIT
MCP server for AI agents that need a phone number: order a private number in 200+ countries, read the SMS verification code, hand it back. The widest country coverage in the category, and you can check it with one API call.
— · Apache-2.0
Self improving agents through iterations
v2.0.0 · MIT
Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.
v5.7.0 · MIT
Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.
v0.2.3 · LGPL-3.0-or-later
Email MCP server with IMAP + SMTP support
v1.22.0 · MIT
Mission control for AI coding agents - run 20 autonomous agents with real-time monitoring and session persistence
v0.14.17 · MIT
iCloud for AI Agents — cross-agent sessions, skills, memory, and vault.
v0.18.0 · MIT
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
v1.99.421 · Apache-2.0
Unified npm bootstrap for the Yaver agent, SDK injection, and local-first developer runtime
v2.16.3 · MIT
Safari browser automation for AI agents — native macOS, zero Chrome overhead. 97 tools via AppleScript + JavaScript.
v0.10.0 · MIT
Builds up to a goal in a field you have no expertise in: splits it into the foundations that goal actually needs, mobilizes what you already hold, learns what is missing, and leaves every solved path behind for the next goal. Nothing is called done until a check passes.
v1.6.0-beta.8 · MIT
Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
v1.4.4 · MIT
Persistent memory for agents. Corrections stick, context compounds, every session starts smarter.
v0.2.3 · MIT
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
v5.1.0 · MIT
You say it. AutoCode ships it. 48 skills. Code to deployment in one session. I-Lang v5.0 judgment + secret-safe deploys. Free forever.
v0.8.1 · MIT
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
— · MIT
Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence
v0.13.0 · MIT
MCP server for AI image generation
v0.2.0 · MIT
Deploy static websites from AI agents. Start with the hosted endpoint at mcp.shipstatic.com — no install, no signup, no API key — or install this package to deploy folders from your own machine. The same fifteen tools either way.
v3.1.1 · MIT
A local MCP server with full Figma REST API coverage.
— · Apache-2.0
Wenlan is a knowledge base for the AI-native age. Your AI agents capture what they learn, Wenlan keeps it current and distills it into source-cited wiki pages you can trust
v1.4.2 · MIT
Local-first Apple Health MCP server. Lets AI assistants answer questions about your sleep, workouts, activity and heart data from a local export.
v1.2.0-beta.2 · MIT
Your personal AI runtime, local-first. Patchwork OS gives any AI model a consistent set of tools, YAML recipes, a delegation policy with approval queue, and a durable trace memory — all on your machine, all under your policy.