v5.8.0 · MIT
Action guardrails for AI coding agents — native Claude Code enforcement, MCP integrations, and Git/CI checks.
v1.7.1 · MIT
Research that compiles.
v0.1.1 · MIT
Shorter replies with Claude Code. Save output token spend.
v0.2.1 · AGPL-3.0-only
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.
v3.45.0 · MIT
Multi-Agent + Automation: Workflows, Automation, Self-Improving Agents
— · no license
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
v0.0.0 · MIT
Turn your coding agent into a video studio: describe a video in plain language, and your agent writes the timeline and produces the file.
— · MIT
DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
— · AGPL-3.0
MCP Playbooks for AI agents
v0.1.2 · no license
Claude Code-style terminal UI for DeepSeek Harness agents, as an out-of-tree dsh plugin bundle
v0.6.3 · no license
A Unified MCP Server Management App (MCP Manager).
— · Apache-2.0
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
v0.1.0 · Apache-2.0
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.
— · MIT
Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar
v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.
— · Apache-2.0
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
v3.1.9 · no license
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。
— · Apache-2.0
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.
v0.0.2 · MIT
Probe any ACP-compatible agent for its capabilities (models, modes, configOptions, prompt capabilities, auth methods, MCP transports). No real prompt required; no token cost.
v1.15.1 · MIT
Quality gate for AI/Codex-generated pull requests: blocks TODO leftovers, leaked secrets, sloppy commits and red CI before they reach main.
v1.0.0 · MIT
Type-correct, brand-aware HTML deck builder for Claude Code. Pitch, sales, launch, keynote, all-hands. PDF and PPTX import.
— · Apache-2.0
The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.
— · Unlicense
All-in-one workflow plugin—loops, swarms, and teams on Claude Code's Task System. All enforce exit criteria—swarm is faster with parallel queue execution, teams add contract-first coordination. Plan your way, execute your way. Optional: Beads for persistent memory, Ralph TUI for dashboard.
v0.11.8 · MIT
Built by DeepSeek, for DeepSeek — a Swift-native macOS coding agent