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
Trust & integrity
| Signal | burr | anything-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
- burr
- Trust 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 (apache/burr) · observed Sep 20, 2026
- GitHub forks (apache/burr) · observed Sep 20, 2026
- Last push (apache/burr) · observed Sep 12, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
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.