v2.9.3 · MIT
Free Claude Code plugin for SEO, AEO, and GEO. Audit sites, optimize content, generate schema, and track AI visibility across ChatGPT, Claude, Gemini, Perplexity, Copilot, and Google AI Overviews.
v0.1.12 · MIT
DeepSeek Harness 搜番插件:对话内多源搜索番剧,卡片展示 Bangumi 评分与详情,支持复制磁力。
— · MIT
Search a codebase or UI for places that don't animate but should, and reject everything that shouldn't. Read-only; it proposes motion with exact values, it does not implement it. Use when the user asks "what could be animated here?" or wants to "make this feel more alive". For fixing existing animat
v0.1.3 · MIT
Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings.
v1.4.2 · no license
Search and analyze Dimensions research data: publications, grants, researchers, patents, trials
v2.5.1 · MIT
Use your ChatGPT / Codex subscription with DeepSeek Harness via OAuth, with model access, usage quotas, search, and image generation — no API key or Codex CLI required.
— · MIT
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
— · MIT
Local NotebookLM for Claude Code via Google Antigravity (agy / Gemini 3.x): /agy:notebook turns a folder of documents into per-doc summaries + a relevance index + a cited synthesis + Q&A. Plus audio/video transcription, deep web research with citations & branded HTML reports. 13 commands, no Node runtime.
v0.0.0 · Apache-2.0
Official Model Studio CLI(阿里云百炼 CLI)built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.
v0.1.0 · Apache-2.0
A temporal context graph, a memory API, retrieval primitives, and a multiple-platform integration mesh — designed to be embedded into any host process.
v6.4.2 · MIT
Automated harness evolution for AI agents. A Claude Code plugin that iteratively optimizes system prompts, routing, retrieval, and orchestration code using full-trace counterfactual diagnosis. Based on Meta-Harness (Lee et al., 2026).
v1.30.0 · MIT
Intelligent AI Gateway for IDEs & Agents — Semantic cache, Privacy Firewall, Infrastructure Command Center, and Autonomous Cost-Optimization.
v0.5.21 · MIT
Composable, view-based memory for DeepSeek Harness. Pluggable sources and strategies, with three-tier memory out of the box.
v0.6.6 · MIT
Free web search provider for DeepSeek Harness - DuckDuckGo backend, no API key needed
v1.1.1 · MIT
USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with skills and autonomous agents.
v2.9.1 · MIT
专门为 agent 打造的开源 agent 搜索工具,具备 200+的搜索源及多语言搜索能力,覆盖中文/英文/学术/代码/购物/金融/新闻/百科。
v1.108.323 · no license
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
v1.4.0 · MIT
Can AI engines cite your site, and do they? Free 0–100 readiness score on an open GEO rubric, plus citation tracking via the OpenAI, Perplexity, Gemini and Claude APIs with your own keys. Zero dependencies, MCP server.
— · MIT
Self-learning vector memory for AI agents — single-file .rvf cognitive container with HNSW search, episodic Reflexion memory, causal graph + Cypher, 9 RL algorithms, Thompson Sampling bandit, 41 MCP tools, hybrid (BM25 + dense) retrieval, GNN attention. 1
v14.7.0 · MIT
Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph, procedural memory, AST codebase ingest, cross-project analogy. LongMemEval R@5 95.1%, LoCoMo 0.607, BEAM 1M 0.448. 74 MCP tools, 9 IDEs, 100% local.
v13.1.0 · MIT
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
— · MIT
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
v1.4.0 · MIT
Claude Code skill that forces AI to understand before executing. Three disciplines: cognition check, requirement understanding, method search.
— · MIT
You.com skills and plugins for web search, content extraction, research, finance, and integration discovery, helping AI agents build with up-to-date web context.