head to head · open source

Agent-Reach vs opik

Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. opik has 22,149 stars, 1,808 forks, 258 open issues and last shipped today. Agent-Reach leads on adoption by 277% (83,525 vs 22,149 stars). Agent-Reach is written in Python under MIT; opik is written in Python under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, opik 8%. opik was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Agent-Reach ★ 84K opik ★ 22K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Agent-Reach opik
GitHub stars ★ 84K ★ 22K
License MIT Apache-2.0
Written in Python Python
Last push 2026-09-15 2026-09-20
Forks ⑂ 7.3K ⑂ 1.8K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agent-Reach if

  • You weight community size — 84K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Agent-Reach profile →

pick opik if

  • You want the opik feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and opik fits your workflow better

full opik profile →

About Agent-Reach

Agent Reach is an open source Python command line tool that gives AI agents the ability to read and search the wider internet — Twitter/X, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu among others — for developers and agent builders who want that reach without paying for platform APIs.

read the full Agent-Reach overview →

About opik

Opik is open source LLM observability, evaluation, and AI agent tracing platform for teams building LLM apps, RAG systems, and agentic workflows, built by Comet, Apache 2.0 licensed, free to self host full platform.

read the full opik overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

Related comparisons

openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

Agent-Reach vs Dify Agent-Reach vs langchain Agent-Reach vs ponytail Agent-Reach vs generative-ai-for-beginners Agent-Reach vs graphify Agent-Reach vs claude-mem Agent-Reach vs ragflow Agent-Reach vs PaddleOCR Agent-Reach vs headroom Agent-Reach vs Mem0 Agent-Reach vs daily_stock_analysis Agent-Reach vs LiteLLM

Frequently asked questions

Is Agent-Reach or opik more popular?

Agent-Reach has 83,525 GitHub stars and opik has 22,149. Agent-Reach has the larger community by that measure.

Are Agent-Reach and opik free?

Both are open source. Agent-Reach is licensed under MIT and opik under Apache-2.0. Neither carries a licence fee.

What is the difference between Agent-Reach and opik?

Agent-Reach is written in Python and opik in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Agent-Reach or opik?

Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose opik if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.