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Comparison

agno vs DeepSeek-Coder

Verdict

Pick agno when license: agno is Apache-2.0, DeepSeek-Coder is MIT; pick DeepSeek-Coder when license: DeepSeek-Coder is MIT, agno is Apache-2.0.

Markdown twin · agno alternatives · DeepSeek-Coder alternatives

GraphCanon updated today

agno logo

agno

agno-agi/agno

★ 41kpushed Jul 11, 2026
vs
DeepSeek-Coder logo

DeepSeek-Coder

deepseek-ai/DeepSeek-Coder

★ 24kpushed Nov 11, 2025

Trust & integrity

SignalagnoDeepSeek-Coder
Maintenance
Very active (0d since push)
As of today · github_public_v1
Slowing (242d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
71 low (71 low)
As of today · osv@v1
agno trust reportDeepSeek-Coder trust reportTrust methodology

Tagline

agno
Build, run, and manage your own agent platform.
DeepSeek-Coder
DeepSeek Coder: Let the Code Write Itself

Stars

agno
41k
DeepSeek-Coder
24k

Forks

agno
5.6k
DeepSeek-Coder
2.9k

Open issues

agno
1.0k
DeepSeek-Coder
166

Language

agno
Python
DeepSeek-Coder
Python

Adopt for

agno
Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.
DeepSeek-Coder
-

Persona

agno
-
DeepSeek-Coder
-

Runtime

agno
-
DeepSeek-Coder
-

License

agno
Apache-2.0
DeepSeek-Coder
MIT

Last pushed

agno
Jul 11, 2026
DeepSeek-Coder
Nov 11, 2025

Categories

agno
AI Agents, Developer Tools
DeepSeek-Coder
Developer Tools

Trust and health

Maintenance

agno
Very active (96%)
DeepSeek-Coder
Slowing (36%)

Days since push

agno
0d
DeepSeek-Coder
242d

Open issues (now)

agno
1.0k
DeepSeek-Coder
166

Security scan

agno
No lockfile
DeepSeek-Coder
71 low (71 low)

Full report

agno
Trust report
DeepSeek-Coder
Trust report

Choose agno if…

  • License: agno is Apache-2.0, DeepSeek-Coder is MIT.
  • Tags unique to agno: agents, ai-agents, developer-tools.
  • Also covers AI Agents.
  • Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.

When NOT to use agno

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
GitHubDetails

Choose DeepSeek-Coder if…

  • License: DeepSeek-Coder is MIT, agno is Apache-2.0.
  • Leaner open-issue backlog (166).

When NOT to use DeepSeek-Coder

  • Last GitHub push was 243 days ago (slowing maintenance, Nov 11, 2025). Validate activity before betting a new project on DeepSeek-Coder.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
GitHubDetails

Explore

agno trust report →DeepSeek-Coder trust report →AI Agents category →Developer Tools category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agno 41k · DeepSeek-Coder 24k (synced Jul 11, 2026).

Common questions

What is the difference between agno and DeepSeek-Coder?
agno: Build, run, and manage your own agent platform.. DeepSeek-Coder: DeepSeek Coder: Let the Code Write Itself. See the comparison table for live GitHub stats and shared categories.
When should I choose agno over DeepSeek-Coder?
Choose agno over DeepSeek-Coder when License: agno is Apache-2.0, DeepSeek-Coder is MIT; Tags unique to agno: agents, ai-agents, developer-tools; Also covers AI Agents; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.
When should I choose DeepSeek-Coder over agno?
Choose DeepSeek-Coder over agno when License: DeepSeek-Coder is MIT, agno is Apache-2.0; Leaner open-issue backlog (166).
When should I avoid agno?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
When should I avoid DeepSeek-Coder?
Last GitHub push was 243 days ago (slowing maintenance, Nov 11, 2025). Validate activity before betting a new project on DeepSeek-Coder. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Is agno or DeepSeek-Coder more popular on GitHub?
agno has more GitHub stars (41,090 vs 23,865). Stars measure visibility, not whether either tool fits your constraints.
Are agno and DeepSeek-Coder open source?
Yes - both are open-source projects on GitHub (agno: Apache-2.0, DeepSeek-Coder: MIT).
Where can I find alternatives to agno or DeepSeek-Coder?
GraphCanon lists graph-backed alternatives at agno alternatives and DeepSeek-Coder alternatives (agno markdown twin, DeepSeek-Coder 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, agno or DeepSeek-Coder?
agno: Very active. DeepSeek-Coder: Slowing. 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 agno and DeepSeek-Coder?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agno trust report; DeepSeek-Coder trust report.