Home/Compare/eko vs incognide

Comparison

eko vs incognide

Verdict

Pick eko if eko excels at natural-language commands for creating agentic AI workflows; pick incognide if incognide is a TypeScript library for developing AI agents with integrated capabilities for llm-inference.

Markdown twin · eko alternatives · incognide alternatives

GraphCanon updated Sep 20, 2026

11views this month

eko logo

eko

FellouAI/eko

★ 5.0kpushed Mar 3, 2026
vs
incognide logo

incognide

NPC-Worldwide/incognide

★ 471pushed Sep 16, 2026

Trust & integrity

Signalekoincognide
Maintenance
Slowing (200d since push)
As of Sep 19, 2026 · github_public_v1
Very active (4d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 19, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

eko
Build Production-ready Agentic Workflow with Natural Language
incognide
Develops AI agents and integrates llms for inference

Stars

eko
5.0k
incognide
471

Forks

eko
444
incognide
50

Open issues

eko
15
incognide
12

Language

eko
TypeScript
incognide
TypeScript

Adopt for

eko
Eko excels at natural-language commands for creating agentic AI workflows.
incognide
Incognide is a TypeScript library for developing AI agents with integrated capabilities for llm-inference.

Persona

eko
-
incognide
-

Runtime

eko
-
incognide
-

License

eko
MIT
incognide
MIT

Last pushed

eko
Mar 3, 2026
incognide
Sep 16, 2026

Categories

eko
AI Agents, Inference & Serving
incognide
AI Agents, Inference & Serving, LLM Frameworks

Trust and health

Maintenance

eko
Slowing (36%)
incognide
Very active (96%)

Days since push

eko
200d
incognide
4d

Open issues (now)

eko
15
incognide
12

Stars delta

eko
+23 (30d)
incognide
+12 (30d)

Open issues delta

eko
+4 (30d)
incognide
-6 (30d)

Full report

incognide
Trust report

Choose eko if…

  • Tags unique to eko: agent, agentic-ai, agentic-ai-development, agentic-framework.
  • For TypeScript projects needing agentic work via natural language
  • More GitHub stars (5.0k vs 471) - visibility, not fit.

When NOT to use eko

  • If your team lacks proficiency in working with TypeScript and its ecosystem
  • In scenarios demanding real-time low-latency execution without the overhead of language processing

Choose incognide if…

  • Tags unique to incognide: artificial-intelligence, llm-inference, llms.
  • Also covers LLM Frameworks.
  • incognide ships Docker support for self-hosted deployment.
  • When you need a TypeScript-based solution to develop AI agents that integrate llm-inference features

When NOT to use incognide

  • If your project requires languages other than TypeScript as the primary language
  • Not suitable if you are looking for ready-to-deploy production tools, given its focus on research and development phase

Explore

Sources

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

GitHub stars on cards: eko 5.0k · incognide 471 (synced Sep 20, 2026).

Common questions

What is the difference between eko and incognide?
eko: Build Production-ready Agentic Workflow with Natural Language. incognide: Develops AI agents and integrates llms for inference. See the comparison table for live GitHub stats and shared categories.
When should I choose eko over incognide?
Choose eko over incognide when Tags unique to eko: agent, agentic-ai, agentic-ai-development, agentic-framework; For TypeScript projects needing agentic work via natural language; More GitHub stars (5.0k vs 471) - visibility, not fit.
When should I choose incognide over eko?
Choose incognide over eko when Tags unique to incognide: artificial-intelligence, llm-inference, llms; Also covers LLM Frameworks; incognide ships Docker support for self-hosted deployment; When you need a TypeScript-based solution to develop AI agents that integrate llm-inference features.
When should I avoid eko?
If your team lacks proficiency in working with TypeScript and its ecosystem In scenarios demanding real-time low-latency execution without the overhead of language processing
When should I avoid incognide?
If your project requires languages other than TypeScript as the primary language Not suitable if you are looking for ready-to-deploy production tools, given its focus on research and development phase
Is eko or incognide more popular on GitHub?
eko has more GitHub stars (4,962 vs 471). Stars measure visibility, not whether either tool fits your constraints.
Are eko and incognide open source?
Yes - both are open-source projects on GitHub (eko: MIT, incognide: MIT).
Where can I find alternatives to eko or incognide?
GraphCanon lists graph-backed alternatives at eko alternatives and incognide alternatives (eko markdown twin, incognide 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, eko or incognide?
eko: Slowing. incognide: Very active. 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 eko and incognide?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eko trust report; incognide trust report.

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