AI Agent2026
Turns natural-language instructions into runnable trading research: data loaders, strategy generation, backtests, reports, and optional broker connectors. Focuses on a tool-driven agent model (36+ MCP tools, 77 finance skills) and an Alpha Zoo of 452 pre-built alphas for reproducible research and gated agentic trading.
AI Agent2026
Provides a lightweight Python harness that turns LLMs into working agents with tool-use, skills, persistent memory, permission controls and multi-agent coordination. Ships with a CLI/React TUI, 43+ built-in tools, a plugin/skill system and the ohmo personal-agent for chat gateways. Best for developers prototyping agent workflows and multi-agent experiments.
AI Agent2026
Provides a brain layer for AI agents that synthesizes answers, traverses a self-wiring knowledge graph, and highlights gaps in team knowledge. Ships hybrid retrieval, citation-aware synthesis, and MCP integrations for Claude/Codex to power meeting prep and company-wide memory.
MCP Client2026
Stores conversation history verbatim and retrieves it via local semantic search with a structured index (wings/rooms/drawers). Pluggable vector backends and a local-first default mean high recall (benchmarked) without cloud or API keys—useful for agent memory and private RAG.
AI Video2026
Generative-AI-enabled timeline video editor for macOS that lets creators generate and edit videos and images directly inside the timeline. Includes a local MCP server for agent integrations (Claude/Codex/Cursor); editor is open-source while generative processing is closed-source and subscription-based; macOS 26 on Apple Silicon only.
AI Client2026
Turns your documents into a persistent, interlinked personal wiki by incrementally reading sources, generating wiki pages, and keeping knowledge up to date. Features two-step chain-of-thought ingest, graph-based relevance with Louvain clustering, optional embedding search (LanceDB), and a local HTTP API for agent integration.
AI Client2026
A local-first web and desktop dashboard for Hermes Agent that runs multi-agent LLM chats, manages profiles/providers/models, schedules automated jobs, and connects platform channels (Telegram/Discord/Slack/etc.) with built-in TTS, file browser, and usage analytics.
MCP Server2026
Provides a local-first web-intelligence layer for AI agents: search, fetch, crawl, extract, cache, find-similar and agent-style research without API keys or per-query billing, running as an MCP server, REST daemon, or SDK.
AI Agent2026
Runs goal-driven penetration tests by orchestration of an LLM agent and an MCP toolchain to perform reconnaissance, vulnerability discovery, exploitation, and structured PoC/report generation; supports multiple LLM providers and local MCP integrations; for authorized security testing only.
AI Client2026
Terminal-native AI coding agent that runs as a single static Go binary and preserves long LLM sessions using DeepSeek-aware prefix caching. Config- and plugin-driven: supports multiple providers, separate planner/executor sessions, and CLI/TUI, desktop and VS Code integrations.
Provides step-by-step guides to integrate DeepSeek V4 models (deepseek-v4-pro and deepseek-v4-flash) into 22 popular AI agents and coding-assistant tools. Each entry shows installation, configuration, and first-run steps for tools like Claude Code, Qwen Code, Codex, Cline, Deep Code, and more.
AI Client2026
Lightweight cross-platform database client that exposes configured database connections to AI coding agents via an MCP server and includes a built-in AI SQL assistant. Ships as a single ~15MB binary, supports 60+ databases, and runs on desktop or Docker.