Home/Compare/agno vs DeepSeek-Coder-V2

Comparison

agno vs DeepSeek-Coder-V2

Verdict

Pick agno when license: agno is Apache-2.0, DeepSeek-Coder-V2 is MIT; pick DeepSeek-Coder-V2 when license: DeepSeek-Coder-V2 is MIT, agno is Apache-2.0.

Markdown twin · agno alternatives · DeepSeek-Coder-V2 alternatives

GraphCanon updated today

agno logo

agno

agno-agi/agno

41kpushed Jul 11, 2026
vs
DeepSeek-Coder-V2 logo

DeepSeek-Coder-V2

deepseek-ai/DeepSeek-Coder-V2

6.9kpushed Nov 11, 2025

Trust & integrity

SignalagnoDeepSeek-Coder-V2
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
No lockfile
As of today · none

Tagline

agno
Build, run, and manage your own agent platform.
DeepSeek-Coder-V2
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Stars

agno
41k
DeepSeek-Coder-V2
6.9k

Forks

agno
5.6k
DeepSeek-Coder-V2
1.1k

Open issues

agno
1.0k
DeepSeek-Coder-V2
73

Language

agno
Python
DeepSeek-Coder-V2
-

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-V2
-

Persona

agno
-
DeepSeek-Coder-V2
-

Runtime

agno
-
DeepSeek-Coder-V2
-

License

agno
Apache-2.0
DeepSeek-Coder-V2
MIT

Last pushed

agno
Jul 11, 2026
DeepSeek-Coder-V2
Nov 11, 2025

Categories

agno
AI Agents, Developer Tools
DeepSeek-Coder-V2
Developer Tools

Trust and health

Maintenance

agno
Very active (96%)
DeepSeek-Coder-V2
Slowing (36%)

Days since push

agno
0d
DeepSeek-Coder-V2
242d

Open issues (now)

agno
1.0k
DeepSeek-Coder-V2
73

Full report

DeepSeek-Coder-V2
Trust report

Choose agno if…

  • License: agno is Apache-2.0, DeepSeek-Coder-V2 is MIT.
  • Tags unique to agno: agents, python, developer-tools, ai-agents.
  • 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.

Choose DeepSeek-Coder-V2 if…

  • License: DeepSeek-Coder-V2 is MIT, agno is Apache-2.0.
  • Leaner open-issue backlog (73).

When NOT to use DeepSeek-Coder-V2

  • Last GitHub push was 243 days ago (slowing maintenance, Nov 11, 2025). Validate activity before betting a new project on DeepSeek-Coder-V2.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Explore

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-V2 6.9k (synced Jul 11, 2026).

Common questions

What is the difference between agno and DeepSeek-Coder-V2?
agno: Build, run, and manage your own agent platform.. DeepSeek-Coder-V2: DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence. See the comparison table for live GitHub stats and shared categories.
When should I choose agno over DeepSeek-Coder-V2?
Choose agno over DeepSeek-Coder-V2 when License: agno is Apache-2.0, DeepSeek-Coder-V2 is MIT; Tags unique to agno: agents, python, developer-tools, ai-agents; 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-V2 over agno?
Choose DeepSeek-Coder-V2 over agno when License: DeepSeek-Coder-V2 is MIT, agno is Apache-2.0; Leaner open-issue backlog (73).
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-V2?
Last GitHub push was 243 days ago (slowing maintenance, Nov 11, 2025). Validate activity before betting a new project on DeepSeek-Coder-V2. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Is agno or DeepSeek-Coder-V2 more popular on GitHub?
agno has more GitHub stars (41,090 vs 6,897). Stars measure visibility, not whether either tool fits your constraints.
Are agno and DeepSeek-Coder-V2 open source?
Yes - both are open-source projects on GitHub (agno: Apache-2.0, DeepSeek-Coder-V2: MIT).
Where can I find alternatives to agno or DeepSeek-Coder-V2?
GraphCanon lists graph-backed alternatives at agno alternatives and DeepSeek-Coder-V2 alternatives (agno markdown twin, DeepSeek-Coder-V2 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-V2?
agno: Very active. DeepSeek-Coder-V2: 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-V2?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agno trust report; DeepSeek-Coder-V2 trust report.