SpellBox

Miko is an AI coding assistant that operates on your own servers and uses open-source technology. It integrates with communication platforms like Slack, Linear, GitHub, and GitLab, as well as coding agents such as Claude Code, Codex, Cursor, and Grok. Users can assign tasks to Miko by mentioning it in a conversation. Once assigned, Miko takes on the task, works in a separate Git worktree, and submits a reviewed pull request. Miko can handle scheduled tasks, parallel workflows, and follow-up instructions during a task without losing context. A local board allows teams to examine each tool call, verify results, and review the final output for every completed task.

Codequiry is a tool for detecting plagiarism in source code. It checks student programming assignments against other students' work, repositories on GitHub, posts on Stack Overflow, and more than 2 trillion web sources. The tool supports over 65 programming languages and has integrated detection of code generated by AI, such as ChatGPT, GitHub Copilot, Claude, and other AI tools. The platform combines several detection systems, including MOSS, JPlag, Dolos, as well as its own Hexagram and Zeus engines, to produce a comprehensive report with line-by-line comparison. There is a free version with restricted web scanning capabilities, paid subscription plans beginning at approximately $28–$29 per month, and API access for corporate integrations. Universities and engineering teams rely on Codequiry for maintaining academic integrity and efficient code review processes.

AgentRPC serves as a universal layer for Remote Procedure Calls (RPC), facilitating the connection of AI agents and workflows to functions deployed across different networks and environments. It integrates tools from various programming languages, offers automated service discovery and routing, and is compatible with numerous AI model SDKs. Developers and organizations creating AI agents or intricate distributed systems might leverage AgentRPC to enhance cross-network functionality, support language-independent development, manage long-duration functions, boost observability, and standardize tool definitions for AI models, ultimately simplifying the integration of AI agents with diverse function ecosystems.