# Omnigent

> Meta-harness for coding agents

Orchestrate Claude Code, Codex, Cursor and custom agents interchangeably.

- Source: https://github.com/omnigent-ai/omnigent
- Homepage: https://omnigent.ai
- License: Apache-2.0
- Language: Python
- Stars: 10461
- Forks: 1676
- Contributors: 294
- Last commit: 2026-10-03
- Latest release: v0.16.0 (2026-09-29)
- Purpose: AI & LLM tooling, Agents & frameworks, Coding assistants
- Runs on: Library / SDK
- For: Personal, Enterprise

## Worth score: 78/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 20/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 12/15
- Readiness: 11/15

## Alternatives

- [Haystack](https://diggithub.com/deepset-ai/haystack.md): AI orchestration for production LLM apps
- [Pi](https://diggithub.com/earendil-works/pi.md): Minimal agent toolkit and coding agent CLI
- [Pydantic AI](https://diggithub.com/pydantic/pydantic-ai.md): Type-safe Python agent framework from the Pydantic team
- [AgentScope](https://diggithub.com/agentscope-ai/agentscope.md): Build agents you can see and trust
- [TencentDB Agent Memory](https://diggithub.com/TencentCloud/TencentDB-Agent-Memory.md): Team-level memory hub for AI agents
- [Headroom](https://diggithub.com/headroomlabs-ai/headroom.md): Compress tool output before it reaches the LLM
- [Mem0](https://diggithub.com/mem0ai/mem0.md): Memory layer for AI agents
- [LangChain](https://diggithub.com/langchain-ai/langchain.md): Framework for building LLM-powered applications

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Source page: https://diggithub.com/omnigent-ai/omnigent
Updated: 2026-10-04