v2.3.0 · MIT
DeepSeek Harness 的执行迷宫——看 Agent 真实怎么干活:迷宫时间轴 · 数据轨道 · 确定性执行分析 · 多会话对比 | The execution maze for DSH agents: maze timeline, per-step data tracks, deterministic execution analysis, multi-session comparison. Formerly dsh-trace-compare.
v2.39.13 · Apache-2.0
The deterministic agent-integrity gate. One ruleset, evaluated on the actual diff/commands as a verdict, enforced everywhere a change can be made.
v0.2.18 · Apache-2.0
OpenTelemetry and Langfuse observability exporter for DeepSeek Harness: turn/step/tool/LLM spans, token and cost metrics, and sanitized LLM prompt/completion capture from the session/event stream, with async batching, bounded offline buffering, and retry
v1.2.1 · MIT
Eco mode for Claude Code. /eco: -31% to -73% output tokens with critical findings intact; /eco-max: up to -75% with lowered effort. Measured hardest on Claude Fable 5 (fable5), deep-studied on Sonnet 5, works on Opus 4.8 too. We publish our negative results. 82 raw benchmark runs.
v3.8.0 · no license
面向 AI Agent 的微信公众号创作与发布 CLI:Markdown 排版、AI 配图、预览与草稿创建;支持由浏览器 Agent 保存知乎、CSDN、头条未发布草稿。
— · 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.
— · Apache-2.0
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
v0.8.0 · MIT
Your team and your AI agents work from the same context: tasks, their full history and time as plain files in your git repository
— · MIT
Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: hyperresearch.ai
v5.1.0 · MIT
Automates mountain route research for North American peaks. Aggregates data from 10+ mountaineering sources to generate detailed route beta reports with weather, avalanche conditions, and trip reports.
— · MIT
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
— · MIT
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.
v0.4.1 · Apache-2.0
TypeSafe Jev for DeepSeek Harness, the Model Context Protocol, and plain Node: typed judgments instead of prose, offline by default.
— · AGPL-3.0
Stata-MCP: A MCP server for integrating Stata into your agent loop with a safety-first design.
— · Apache-2.0
An LLM-powered multi-agent framework for simulating interactive, evolving story worlds.
— · Apache-2.0
Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift
v10.0.1 · Apache-2.0
Advanced GitLab MCP server
v5.1.2 · Apache-2.0
Process transparency for agentic work.
v0.2.0 · no license
你的微信记录,本地喂给 AI。导出双人会话、群聊、按消息量排名的重要联系人 —— 全程离线,数据不出本机。A local-first WeChat 4.1+ chat export plugin for Claude Code: no cloud, no telemetry, no account access.
v1.1.9 · MIT
Team memory sharing for claude-mem — sync AI memories across developers, with Claude Code plugin, github action and knowledge distillation
— · no license
✨ All your agents and workspaces in one place, on every device you own. Track tasks on a board, accessible from desktop, mobile, browser, or API. Self-hosted.
— · Apache-2.0
The vendor-neutral protocol for AI agent safety & security — and the neutral benchmark that ranks the vendors.
— · Apache-2.0
No description yet.
— · MIT
Agent Dashboard: Visualization and analytics for Sessions and Quota Usage. Track, analyze, and optimize token usage across providers with heatmaps, cost tracking, token counting and quota resets..