Home/Compare/burr vs anything-llm

Comparison

burr vs anything-llm

Verdict

Pick burr if burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management; pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.

Markdown twin · burr alternatives · anything-llm alternatives

GraphCanon updated Sep 20, 2026

14views this month

burr logo

burr

apache/burr

★ 2.6kpushed Sep 12, 2026
vs
anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

★ 66kpushed Sep 17, 2026

Trust & integrity

Signalburranything-llm
Maintenance
Active (7d since push)
As of Sep 20, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 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 Sep 18, 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

burr
Build applications that make decisions like chatbots, agents; monitor and manage state.
anything-llm
Self-hosted AI agent experience

Stars

burr
2.6k
anything-llm
66k

Forks

burr
196
anything-llm
7.3k

Open issues

burr
100
anything-llm
315

Language

burr
Python
anything-llm
JavaScript

Adopt for

burr
Burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management.
anything-llm
anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.

Persona

burr
-
anything-llm
-

Runtime

burr
-
anything-llm
-

License

burr
Apache-2.0 License, allowing free use but retaining notice requirements and disclaimers as per the license terms.
anything-llm
MIT License, allowing for free use, modification, and distribution.

Last pushed

burr
Sep 12, 2026
anything-llm
Sep 17, 2026

Categories

burr
AI Agents, Evaluation & Observability
anything-llm
AI Agents, Developer Tools, Inference & Serving

Trust and health

Maintenance

burr
Active (82%)
anything-llm
Very active (96%)

Days since push

burr
7d
anything-llm
0d

Open issues (now)

burr
100
anything-llm
315

Stars delta

burr
+33 (30d)
anything-llm
+1.5k (30d)

Open issues delta

burr
-5 (30d)
anything-llm
-4 (30d)

Full report

anything-llm
Trust report

Choose burr if…

  • burr is primarily Python; anything-llm is JavaScript.
  • License: burr is Apache-2.0, anything-llm is MIT.
  • Tags unique to burr: ai, burr, chatbot-framework, dags.
  • Also covers Evaluation & Observability.
  • You prefer Python for developing AI-driven applications that require state persistence across interactions.

When NOT to use burr

  • If you need a lightweight solution without the overhead of server setup and maintenance for monitoring.
  • When your application does not interact heavily with user states or require extensive tracing capabilities.

Choose anything-llm if…

  • anything-llm is primarily JavaScript; burr is Python.
  • License: anything-llm is MIT, burr is Apache-2.0.
  • Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
  • Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
  • Also covers Developer Tools, Inference & Serving.
  • When you need a local-first AI agent experience that you can fully control and customize.

When NOT to use anything-llm

  • If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
  • When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.

Explore

Sources

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

GitHub stars on cards: burr 2.6k · anything-llm 66k (synced Sep 20, 2026).

Common questions

What is the difference between burr and anything-llm?
burr: Build applications that make decisions like chatbots, agents; monitor and manage state.. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories.
When should I choose burr over anything-llm?
Choose burr over anything-llm when burr is primarily Python; anything-llm is JavaScript; License: burr is Apache-2.0, anything-llm is MIT; Tags unique to burr: ai, burr, chatbot-framework, dags; Also covers Evaluation & Observability; You prefer Python for developing AI-driven applications that require state persistence across interactions.
When should I choose anything-llm over burr?
Choose anything-llm over burr when anything-llm is primarily JavaScript; burr is Python; License: anything-llm is MIT, burr is Apache-2.0; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Developer Tools, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
When should I avoid burr?
If you need a lightweight solution without the overhead of server setup and maintenance for monitoring. When your application does not interact heavily with user states or require extensive tracing capabilities.
When should I avoid anything-llm?
If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
Is burr or anything-llm more popular on GitHub?
anything-llm has more GitHub stars (66,167 vs 2,554). Stars measure visibility, not whether either tool fits your constraints.
Are burr and anything-llm open source?
Yes - both are open-source projects on GitHub (burr: Apache-2.0, anything-llm: MIT).
Where can I find alternatives to burr or anything-llm?
GraphCanon lists graph-backed alternatives at burr alternatives and anything-llm alternatives (burr 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, burr or anything-llm?
burr: 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 burr and anything-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: burr trust report; anything-llm trust report.

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