Comparison
core vs anything-llm
Verdict
Pick core when core is primarily Python; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; core is Python.
Markdown twin · core alternatives · anything-llm alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | core | anything-llm |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | 2 low (2 low) As of 1d · mcp_manifest@v1 | No lockfile As of 1d · none |
Tagline
- core
- AI agent microservice
- anything-llm
- Self-hosted agent experience with deployment scripts for multiple environments
Stars
- core
- 3.1k
- anything-llm
- 63k
Forks
- core
- 410
- anything-llm
- 6.9k
Open issues
- core
- 4
- anything-llm
- 320
Language
- core
- Python
- anything-llm
- JavaScript
Adopt for
- core
- -
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
Persona
- core
- -
- anything-llm
- -
Runtime
- core
- -
- anything-llm
- -
License
- core
- GPL-3.0
- anything-llm
- MIT
Last pushed
- core
- Jul 8, 2026
- anything-llm
- Jul 11, 2026
Categories
- core
- AI Agents, LLM Frameworks, Vector Databases
- anything-llm
- AI Agents, Inference & Serving
Trust and health
Days since push
- core
- 2d
- anything-llm
- 0d
Open issues (now)
- core
- 4
- anything-llm
- 320
Security scan
- core
- 2 low (2 low)
- anything-llm
- No lockfile
Full report
- core
- Trust report
- anything-llm
- Trust report
Choose core if…
- core is primarily Python; anything-llm is JavaScript.
- License: core is GPL-3.0, anything-llm is MIT.
- Tags unique to core: ag-ui-protocol, agent, ai, assistant.
- Also covers LLM Frameworks, Vector Databases.
When NOT to use core
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose anything-llm if…
- anything-llm is primarily JavaScript; core is Python.
- License: anything-llm is MIT, core is GPL-3.0.
- Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm.
- Also covers Inference & Serving.
- When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When NOT to use anything-llm
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
- Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cheshire-cat-ai/core) · observed Jul 11, 2026
- GitHub forks (cheshire-cat-ai/core) · observed Jul 11, 2026
- Last push (cheshire-cat-ai/core) · observed Jul 8, 2026
- License file (GPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: core 3.1k · anything-llm 63k (synced Jul 11, 2026).
Common questions
- What is the difference between core and anything-llm?
- core: AI agent microservice. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories.
- When should I choose core over anything-llm?
- Choose core over anything-llm when core is primarily Python; anything-llm is JavaScript; License: core is GPL-3.0, anything-llm is MIT; Tags unique to core: ag-ui-protocol, agent, ai, assistant; Also covers LLM Frameworks, Vector Databases.
- When should I choose anything-llm over core?
- Choose anything-llm over core when anything-llm is primarily JavaScript; core is Python; License: anything-llm is MIT, core is GPL-3.0; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
- When should I avoid core?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid anything-llm?
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
- Is core or anything-llm more popular on GitHub?
- anything-llm has more GitHub stars (63,100 vs 3,072). Stars measure visibility, not whether either tool fits your constraints.
- Are core and anything-llm open source?
- Yes - both are open-source projects on GitHub (core: GPL-3.0, anything-llm: MIT).
- Where can I find alternatives to core or anything-llm?
- GraphCanon lists graph-backed alternatives at core alternatives and anything-llm alternatives (core markdown twin, anything-llm 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, core or anything-llm?
- core: Very active. anything-llm: 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 core and anything-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: core trust report; anything-llm trust report.