Fosowl/agenticSeek
AgenticSeek is a fully local, autonomous AI assistant powered by Deepseek R1 agents that can code, browse the web, and manage files without relying on cloud services, ensuring user data privacy and eliminating ongoing costs.
Awesome AI Agents › Programming Languages
mochilang/mochi
Mochi is a small, fast, embeddable programming language designed for agents, data, and AI. It combines functional syntax, stream-first semantics, and native support for datasets, graphs, and simulation. Mochi is a statically typed language built for clarity, safety, and expressiveness, suitable for writing tools, processing real-time data, and powering intelligent agents. It is agent-friendly, structured, safe, and embeddable, with a declarative and functional style featuring clean and expressive syntax. Mochi is fast and portable, distributed as a zero-dependency single binary, and includes built-in testing capabilities with test and expect blocks. The language optimizes bytecode through constant folding and liveness-based dead code elimination. The bytecode virtual machine is integrated into the Mochi CLI, allowing execution of programs via commands like 'mochi run'. It supports multiple installation methods including prebuilt binaries, Docker containers, and building from source. Mochi integrates with development tools such as Visual Studio Code through an extension and can operate as an MCP server in VS Code's agent mode. It is also compatible with Claude Desktop and supports local LLMs like llama.cpp for AI-related tasks. The CLI offers commands for running, testing, building, initializing modules, managing dependencies, interacting with LLMs, and more. The language features include immutable and mutable variables, control flow constructs (if, for, while), functions, collections (maps, sets, lists), string manipulation, SQL-like dataset queries with joins, and built-in testing. Mochi also supports generative AI by invoking large language models directly within the language using generate blocks and configurable model blocks. Overall, Mochi is designed to be expressive, safe, and joyful, making it simple to explore yet powerful enough for real applications in data processing, AI, and agent programming.
https://github.com/mochilang/mochi
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