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.
GitHub repository with 328 stars and 14 forks.
Language: Scheme
Topics: agent, ai, graph, leetcode, stream
Trending score 0.21, activity score 1.17, stars gained +0, forks gained +0.
2026-06-02: 328 stars and 14 forks.
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.
GitHub repository with 328 stars and 14 forks.
Trending score: 0.21; stars gained: +0; forks gained: +0.
Language: Scheme
Topics: agent, ai, graph, leetcode, stream
sinatra inspired scheme web framework
GitHub repository with 81 stars and 0 forks.
Trending score: 0.36; stars gained: +1; forks gained: +0.
Language: Scheme
Mogan STEM Suite (based on GNU TeXmacs): Enjoy exploring science and technology!
GitHub repository with 562 stars and 96 forks.
Trending score: 0.30; stars gained: +0; forks gained: +0.
Language: Scheme
Topics: beamer, codeeditor, cpp, editor, emcc, made-on-earth
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.
GitHub repository with 328 stars and 14 forks.
Trending score: 0.21; stars gained: +0; forks gained: +0.
Language: Scheme
Topics: agent, ai, graph, leetcode, stream
The Compact programming language
GitHub repository with 30 stars and 19 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Scheme
LambdaNative is a cross-platform development environment written in Scheme, supporting Android, iOS, BlackBerry 10, OS X, Linux, Windows, OpenBSD, NetBSD, FreeBSD and OpenWrt.
GitHub repository with 1,428 stars and 89 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Scheme
DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
GitHub repository with 18,428 stars and 1,092 forks.
Trending score: 5.71; stars gained: +1,388; forks gained: +87.
Language: Go
Topics: agent, agent-framework, ai-agent, ai-coding, cli, coding-agent
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 14,053 stars and 885 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
GitHub repository with 2,612 stars and 128 forks.
Trending score: 4.93; stars gained: +1,116; forks gained: +39.
Language: Go
Topics: agent, code-review, code-review-assistant, harness, repository-level-context
OfficeCLI is the first and best Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files. Free, open-source, single binary, no Office installation required.
GitHub repository with 6,183 stars and 490 forks.
Trending score: 4.05; stars gained: +374; forks gained: +21.
Language: C#
Topics: agent, ai, cli, office, openclaw, skills
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
GitHub repository with 78,238 stars and 15,373 forks.
Trending score: 4.03; stars gained: +79; forks gained: +2.
Language: TypeScript
Topics: agent, agent-collaboration, agent-harness, ai, cao, chatgpt
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
GitHub repository with 3,225 stars and 239 forks.
Trending score: 3.92; stars gained: +201; forks gained: +18.
Language: Python
Topics: agent, ai, ai-agents, deep-learning, foundation-models, llm