An everyday AI assistant you can leave running: in your terminal, on a schedule, and in your chat apps.

Use claude-code for free in the terminal, VSCode extension or via discord like openclaw

MCP server and CLI tool for interacting with the Wayback Machine without API keys

A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything. Local-first MCP server + CLI in Go: a governed repository index of code knowledge that gives Claude Code, Codex, Cursor, and opencode long-term context, memory, and code intelligence.

A discipline plugin for Claude Code + OpenAI Codex — plan first, verify against the real code, receipts on every decision, independent adversarial review, and a self-armed loop that keeps going until a real check passes. Built by Fable to make any Claude work like a careful senior engineer.

Type-correct, brand-aware HTML deck builder for Claude Code. Pitch, sales, launch, keynote, all-hands. PDF and PPTX import.

Cross-agent plugin for manually excluding and editing AI conversation context, with search, filtering, hide/restore, undo, and original Session preservation.

Claude Cup — worldwide building contest. Track your Value/Token Ratio, climb the real-time leaderboard, and fill a live trophy in your terminal.

Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.

Turn DeepSeek Harness into a self-hosted enterprise Agent platform with knowledge, deep research, content generation, vibe coding, browser automation, governance, and admin controls.

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

Deterministic, persistent graph server for tracking workflow state, decisions, and blockers.

Cargo, the go-to-market platform, from your terminal or coding agent: find and verify work emails, enrich companies and contacts, score leads and sync them to your CRM (HubSpot, Salesforce) across 130+ integrations, run plays and workflows, and serve it a

Enables LLM clients to inspect live game state and perform deterministic shop, inventory, backpack layout, and combat actions in a running game through a local bridge.

Native Model Context Protocol (MCP) server turning AI coding agents into .NET runtime diagnosticians, memory forensic analysts, and CIL binary architects.

Deterministic Unit-Record Memory Engine for AI coding agents. Eliminates context-window amnesia and compaction bloat via zero-turn workspace hydration, byte-exact registers, and live context telemetry.

Best ready-to-run DeepSeek Harness distribution: DSH desktop GUI, DSH terminal TUI, and harness integration.

Enables AI clients to securely control Linux and WSL2 systems over Streamable HTTP with Bearer token authentication, supporting command execution, background jobs, file operations, Docker management, system inspection, and audit log access with safety confirmations and path protections.

Enables AI assistants to automate Microsoft Edge in IE mode through Selenium and IEDriver, letting them inspect legacy pages, fill forms, click controls, handle frames, alerts, windows, and file uploads.

Enables agents to retrieve permission-filtered document knowledge across organizations and knowledge bases, and to identify and expand business terms and typed object relationships through a unified MCP interface.

Enables MCP clients to read exported WhatsApp school-group chats, surface events and doubtful amounts, dates, or times, check conflicts, and export confirmed events to an .ics calendar with reminders.

Lets Claude or any MCP client inspect a TP-Link Deco mesh locally — nodes, backhaul, clients, WAN, firmware — and carefully change settings with graded, read-back-verified writes, secrets redacted by default and an optional read-only mode. No cloud or app involved.

Exposes explicitly approved local Windows stdio and loopback HTTP MCP backends through a single OAuth-protected remote HTTPS MCP endpoint, letting a mobile AI client invoke whitelisted tools with namespacing, PKCE-based authorization, and per-tool permissions.

Enables MCP clients to coordinate local AI model runs by monitoring RAM, system commit, and VRAM, queueing tasks across clients, performing admission checks before inference, renewing leases, completing and releasing runs, and reporting status, history, and health while preserving original generation quality parameters. It also supports controlled start/stop and optional idle application memory reclamation.