lingoose vs autogen

Common questions

What is the difference between lingoose and autogen?

lingoose: 🪿 LinGoose is a Go framework for building awesome AI/LLM applications.. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.

When should I choose lingoose over autogen?

Choose lingoose over autogen when lingoose is primarily Go; autogen is Python; License: lingoose is MIT, autogen is CC-BY-4.0; Tags unique to lingoose: embeddings, go, golang, index; Also covers Data & Retrieval, Vector Databases.

When should I choose autogen over lingoose?

Choose autogen over lingoose when autogen is primarily Python; lingoose is Go; License: autogen is CC-BY-4.0, lingoose is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, autogen, autogen-ecosystem; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.

When should I avoid lingoose?

Last GitHub push was 119 days ago (slowing maintenance, Mar 15, 2026). Validate activity before betting a new project on lingoose. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

When should I avoid autogen?

If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as playwright/mcp, as AutoGen requires this setup for certain functionalities.

Is lingoose or autogen more popular on GitHub?

autogen has more GitHub stars (59,658 vs 834). Stars measure visibility, not whether either tool fits your constraints.

Are lingoose and autogen open source?

Yes - both are open-source projects on GitHub (lingoose: MIT, autogen: CC-BY-4.0).

Where can I find alternatives to lingoose or autogen?

GraphCanon lists graph-backed alternatives at lingoose alternatives and autogen alternatives (lingoose markdown twin, autogen markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, lingoose or autogen?

lingoose: Slowing. autogen: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for lingoose and autogen?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lingoose trust report; autogen trust report.