12 open-source projects share topics or a category with omnigent. 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.
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…
you want something your agent can install directly rather than a library to wire up yourself
you want the more widely starred option (141.6k)
you specifically need antigravity or ast
Shares ai-agents, claude-code, codex, developer-tools with omnigent.
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…
you want something your agent can install directly rather than a library to wire up yourself
you want the more widely starred option (78.7k)
you specifically need agent or anthropic
Shares ai, claude-code, llm, python with omnigent.
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
Choose llm-wiki-agent if…
MIT License suits your use better than Apache License 2.0
you prefer a smaller, narrower project to a large one
you specifically need ai-tools or automation
Shares ai-agent, claude-code, codex, llm with omnigent.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Choose Memori if…
you want the more widely starred option (17.4k)
you specifically need agent or agent-memory
Shares ai, claude-code, llm, python with omnigent.
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.
Choose ouroboros if…
MIT License suits your use better than Apache License 2.0
you want something your agent can install directly rather than a library to wire up yourself
you specifically need agent-os or agentic-ai
Shares ai-agent, claude-code, codex, developer-tools with omnigent.
Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.
Choose skills if…
you want something your agent can install directly rather than a library to wire up yourself
you prefer a smaller, narrower project to a large one
you specifically need agent-skills or agentic-ai
Shares ai-agents, claude-code, codex, coding-agents with omnigent.
J-Space Cognition Suite V3.7 - AI cognitive-enhancement Skills based on Anthropic's J-space global workspace research. | 哔哩哔哩：Tiger380 (UID 3494375382321675) — https://space.bilibili.com/3494375382321675
Choose J-Space-Cognition-Suite-V3.7 if…
you want something your agent can install directly rather than a library to wire up yourself
you prefer a smaller, narrower project to a large one
you specifically need agent-skills or codex
Shares ai, ai-agent, ai-agents, claude-code with omnigent.
