12 open-source projects share topics or a category with PPTAgent. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
Choose nexent if…
you specifically need agentic-framework or agentic-rag
TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.
Choose cursor-talk-to-figma-mcp if…
you would rather work in JavaScript than Python
you specifically need agentic or ai
Shares agent, agentic-ai, llm, mcp with PPTAgent.
Last push 4 months ago.MIT LicenseJavaScript7.1k+23
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Choose graphify if…
Apache License 2.0 suits your use better than MIT License
you want something your agent can install directly rather than a library to wire up yourself
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Choose headroom if…
Apache License 2.0 suits your use better than MIT License
you want something your agent can install directly rather than a library to wire up yourself
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Choose haystack if…
Apache License 2.0 suits your use better than MIT License
you want the more widely starred option (27.0k)
you specifically need agent-framework or agentic-rag
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Choose dify if…
you would rather work in TypeScript than Python
you want something your agent can install directly rather than a library to wire up yourself
you want the more widely starred option (161.1k)
you specifically need agentic-framework or agentic-workflow