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Comparison

cognee vs uniem

Verdict

Pick cognee when tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph; pick uniem when tags unique to uniem: embeddings, huggingface, nlp, sentence-embeddings.

Markdown twin · cognee alternatives · uniem alternatives

GraphCanon updated today

cognee logo

cognee

topoteretes/cognee

★ 28kpushed Jul 11, 2026
vs
uniem logo

uniem

wangyuxinwhy/uniem

★ 876pushed Sep 1, 2023

Trust & integrity

Signalcogneeuniem
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (1043d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
cognee trust reportuniem trust reportTrust methodology

Tagline

cognee
Cognee is the open-source AI memory platform for agents.
uniem
unified embedding model

Stars

cognee
28k
uniem
876

Forks

cognee
2.7k
uniem
72

Open issues

cognee
620
uniem
47

Language

cognee
Python
uniem
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
uniem
-

Persona

cognee
-
uniem
-

Runtime

cognee
-
uniem
-

License

cognee
Apache-2.0
uniem
Apache-2.0

Last pushed

cognee
Jul 11, 2026
uniem
Sep 1, 2023

Categories

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

Trust and health

Maintenance

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

Days since push

cognee
0d
uniem
1043d

Open issues (now)

cognee
620
uniem
47

Owner type

cognee
Organization
uniem
User

Full report

cognee
Trust report
uniem
Trust report

Choose cognee if…

  • Tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph.
  • 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.
GitHubDetails

Choose uniem if…

  • Tags unique to uniem: embeddings, huggingface, nlp, sentence-embeddings.
  • Also covers Model Training.
  • Leaner open-issue backlog (47).

When NOT to use uniem

  • Last GitHub push was 1044 days ago (dormant maintenance, Sep 1, 2023). Validate activity before betting a new project on uniem.
  • 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.
GitHubDetails

Explore

cognee trust report →uniem trust report →AI Agents category →Vector Databases category →Model Training 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: cognee 28k · uniem 876 (synced Jul 11, 2026).

Common questions

What is the difference between cognee and uniem?
cognee: Cognee is the open-source AI memory platform for agents.. uniem: unified embedding model. See the comparison table for live GitHub stats and shared categories.
When should I choose cognee over uniem?
Choose cognee over uniem when Tags unique to cognee: agent-memory, ai-agents, docker, knowledge-graph; 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 uniem over cognee?
Choose uniem over cognee when Tags unique to uniem: embeddings, huggingface, nlp, sentence-embeddings; Also covers Model Training; Leaner open-issue backlog (47).
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 uniem?
Last GitHub push was 1044 days ago (dormant maintenance, Sep 1, 2023). Validate activity before betting a new project on uniem. 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 uniem more popular on GitHub?
cognee has more GitHub stars (27,564 vs 876). Stars measure visibility, not whether either tool fits your constraints.
Are cognee and uniem open source?
Yes - both are open-source projects on GitHub (cognee: Apache-2.0, uniem: Apache-2.0).
Where can I find alternatives to cognee or uniem?
GraphCanon lists graph-backed alternatives at cognee alternatives and uniem alternatives (cognee markdown twin, uniem 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 uniem?
cognee: Very active. uniem: 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 uniem?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cognee trust report; uniem trust report.