Home/Compare/cognee vs vectorai

Comparison

cognee vs vectorai

Verdict

Pick cognee when tags unique to cognee: vector-database, python, docker, rust; pick vectorai when tags unique to vectorai: neural-networks, clustering, embeddings, deep-learning.

Markdown twin · cognee alternatives · vectorai alternatives

GraphCanon updated today

cognee logo

cognee

topoteretes/cognee

28kpushed Jul 11, 2026
vs
vectorai logo

vectorai

vector-ai/vectorai

320pushed Mar 1, 2024

Trust & integrity

Signalcogneevectorai
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (862d 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

cognee
Cognee is the open-source AI memory platform for agents.
vectorai
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Stars

cognee
28k
vectorai
320

Forks

cognee
2.7k
vectorai
42

Open issues

cognee
620
vectorai
12

Language

cognee
Python
vectorai
Python

Adopt for

cognee
When evaluating Cognee, consider its self-hosted persistence capability and the extensive support it offers through multiple programming languages (Python, Rust, TypeScript). It uses vector databases to provide efficient
vectorai
-

Persona

cognee
-
vectorai
-

Runtime

cognee
-
vectorai
-

License

cognee
Apache-2.0
vectorai
Apache-2.0

Last pushed

cognee
Jul 11, 2026
vectorai
Mar 1, 2024

Categories

cognee
AI Agents, Vector Databases
vectorai
Model Training, Vector Databases

Trust and health

Maintenance

cognee
Very active (96%)
vectorai
Dormant (18%)

Days since push

cognee
0d
vectorai
862d

Open issues (now)

cognee
620
vectorai
12

Full report

vectorai
Trust report

Choose cognee if…

  • Tags unique to cognee: vector-database, python, docker, rust.
  • Also covers AI Agents.
  • cognee ships Docker support for self-hosted deployment.
  • - You are developing AI agents that require persistent long-term memory across different sessions.

When NOT to use cognee

  • - Your project does not require persistent memory storage, or your agents operate fully within short-lived sessions without the need for past context.
  • - You are aiming for minimal setup overhead and prefer a cloud-based solution that requires less maintenance on your infrastructure side.

Choose vectorai if…

  • Tags unique to vectorai: neural-networks, clustering, embeddings, deep-learning.
  • Also covers Model Training.
  • Leaner open-issue backlog (12).

When NOT to use vectorai

  • Last GitHub push was 863 days ago (dormant maintenance, Mar 1, 2024). Validate activity before betting a new project on vectorai.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Explore

Sources

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

GitHub stars on cards: cognee 28k · vectorai 320 (synced Jul 11, 2026).

Common questions

What is the difference between cognee and vectorai?
cognee: Cognee is the open-source AI memory platform for agents.. vectorai: Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.. See the comparison table for live GitHub stats and shared categories.
When should I choose cognee over vectorai?
Choose cognee over vectorai when Tags unique to cognee: vector-database, python, docker, rust; Also covers AI Agents; cognee ships Docker support for self-hosted deployment; - You are developing AI agents that require persistent long-term memory across different sessions.
When should I choose vectorai over cognee?
Choose vectorai over cognee when Tags unique to vectorai: neural-networks, clustering, embeddings, deep-learning; Also covers Model Training; Leaner open-issue backlog (12).
When should I avoid cognee?
- Your project does not require persistent memory storage, or your agents operate fully within short-lived sessions without the need for past context. - You are aiming for minimal setup overhead and prefer a cloud-based solution that requires less maintenance on your infrastructure side.
When should I avoid vectorai?
Last GitHub push was 863 days ago (dormant maintenance, Mar 1, 2024). Validate activity before betting a new project on vectorai. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Is cognee or vectorai more popular on GitHub?
cognee has more GitHub stars (27,564 vs 320). Stars measure visibility, not whether either tool fits your constraints.
Are cognee and vectorai open source?
Yes - both are open-source projects on GitHub (cognee: Apache-2.0, vectorai: Apache-2.0).
Where can I find alternatives to cognee or vectorai?
GraphCanon lists graph-backed alternatives at cognee alternatives and vectorai alternatives (cognee markdown twin, vectorai 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, cognee or vectorai?
cognee: Very active. vectorai: Dormant. 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 cognee and vectorai?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cognee trust report; vectorai trust report.