Greptile code review from your terminal

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.

Multi-Agent + Automation: Workflows, Automation, Self-Improving Agents

A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate programming, CUPID code review, and the three enforcement loops

Turn your coding agent into a video studio: describe a video in plain language, and your agent writes the timeline and produces the file.

Intlayer MCP server. Handle MCP to help IDE to use Intlayer. It build, fill, pull, push, dictionaries

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

MCP Playbooks for AI agents

Claude Code-style terminal UI for DeepSeek Harness agents, as an out-of-tree dsh plugin bundle

Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.

A Unified MCP Server Management App (MCP Manager).

Semantic code searcher and codebase utility

Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.

The Forge Skills Plugin bundles several Forge-focused skills plus MCP-backed tooling so your agent can scaffold apps, review them before deploy, debug production issues, and stay current on Forge APIs and the Atlassian Design System.

Keep working across Claude usage limits: run Claude Code through ccx and it transparently switches to another of your accounts when one hits its cap.

Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar

Reverse engineer anything with agents, from app behavior down to native binaries.

DSH plugin: connect to MCP servers, discover tools, and register them for direct model invocation with retry logic and statistics

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

一个自主的高级智能伙伴，不仅分析问题，更持续工作直到完成实现和验证。

Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.

Probe any ACP-compatible agent for its capabilities (models, modes, configOptions, prompt capabilities, auth methods, MCP transports). No real prompt required; no token cost.

Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platform voice interaction.

Quality gate for AI/Codex-generated pull requests: blocks TODO leftovers, leaked secrets, sloppy commits and red CI before they reach main.