v0.1.0 · MIT License
Provides a shared, repo-local memory that lets coding agents recall relevant decisions, conventions, gotchas, and open threads, save new entries, coordinate file claims, and cache file summaries across tools and sessions.
v1.0.0 · MIT License
Enables AI agents to debug Commodore software in a locally running VICE emulator through its text remote monitor, inspecting registers, memory and screens, disassembling code, setting breakpoints and watchpoints, controlling execution, and working with disk images, snapshots and exported graphics. Runs locally over stdio and includes safety guidance for state-changing operations.
v1.0.0 · MIT License
Enables AI agents to run Meta (Facebook and Instagram) advertising: pull spend, CPA, ROAS and breakdown reports, audit account health, build and boost campaigns, ad sets and ads, and pause or adjust budgets, all starting paused until the user approves going live. Also supports brand memory, change logs and an optional daily spend cap.
v1.0.0 · MIT License
It enables AI agents and browser-based users to inspect, edit, validate, reorder, diff, and safely persist SillyTavern Chat Completion presets through revision-safe live synchronization over stdio or HTTP.
v1.2.11 · MIT License
Enables AI clients to drive local video editing projects through a CEP bridge, covering media ingest, sequence and timeline editing, effects, keyframes, captions, markers, audio, color, and exports across hundreds of discoverable tools. Ships context resources, guided prompts, and higher-level assembly workflows for agent-driven editing.
v0.1.0 · Functional Source License, Version 1.1, MIT Future License
Enables AI agents to store and retrieve persistent memory across sessions and machines, and to pay any x402 API while keeping a signed, offline-verifiable ledger of purchases and spending.
— · Apache 2.0
Exposes a federated, typed knowledge graph to AI clients, letting agents traverse nodes and relationships while scope-based access rights are checked on every hop and provenance is tracked for each fact. This keeps shared knowledge consistent across teams while keeping private and team-scoped content out of reach of unauthorized consumers.