agno vs deepseek-harness

deepseek-harness is much bigger: 223.4k stars against 42.2k. Over the days we have tracked them agno moved +2.3% and deepseek-harness +109.9%, so deepseek-harness is growing faster right now.

They split the axes: agno leads on noise control and model freedom, deepseek-harness on setup ease.

Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.

Where they stand today

An end-to-end agent framework delivering an SDK, AgentOS runtime, and a management UI with built-in storage, observability, and human approval for running agent platforms.

Stars
42.2k
Tracked growth
+2.3%
Maturity
Last commit
13m ago
Language
Python
License
Apache-2.0
Cost to run
Free, self-hosted

A plugin-first agent harness where every component is a plugin, enabling highly composable agent workflows.

Stars
223.4k
Tracked growth
+109.9%
Maturity
Last commit
3d ago
Language
TypeScript
License
MIT
Cost to run
Free, self-hosted
0%+110%61 tracked days
agno-agi/agnodeepseek-ai/deepseek-harness

Six axes, head to head

Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.

Axisagnodeepseek-harness
Context depth
How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository.
Diff only
Diff only
Noise control
How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only.
Human approval
No controls
Customization
How far it bends to your team: custom rules, prompts, style guides, per-path config.
Configurable SDK
Plugin-based
Privacy
Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only.
Self-hostable
Self-hostable
Model freedom
Whether you can point it at any provider, or it is wired to one.
Multiple providers
Fixed provider only
Setup ease
What it takes to get a first useful run out of it.
Quickstart (Docker)
One-command start

Which one to pick

Pick agno if…

Privacy-first — own and run your agent stack (AgentOS) with self-hosted storage, JWT RBAC, human approval, and observability.

  • Noise control: Human approval (4/5 against 1/5)
  • Model freedom: Multiple providers (3/5 against 1/5)
Runs in cli, web-app, coding-agent-plugin. Works with byok.

Pick deepseek-harness if…

Extensible plugin architecture — pick this when you want a locally runnable, highly modular agent harness you can extend with custom plugins.

  • Setup ease: One-command start (5/5 against 3/5)
Runs in cli, web-app. Works with other-fixed.

What people want from each one

Questions people ask

Is agno better than deepseek-harness?

They split the axes: agno leads on noise control and model freedom, deepseek-harness on setup ease. agno is worth picking when privacy-first — own and run your agent stack (AgentOS) with self-hosted storage, JWT RBAC, human approval, and observability.

Which of agno and deepseek-harness keeps my code private?

agno: Self-hostable (4/5). deepseek-harness: Self-hostable (4/5).

What does each one cost to run?

agno: Free, self-hosted. deepseek-harness: Free, self-hosted.

Full profiles: agno-agi/agno and deepseek-ai/deepseek-harness. Everything else in Agent SDKs & frameworks.