Comparison
anything-llm vs coca
Verdict
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; pick coca if coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions.
Markdown twin · anything-llm alternatives · coca alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | anything-llm | coca |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (256d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- anything-llm
- Self-hosted AI agent experience
- coca
- Toolbox for legacy system refactoring and analysis
Stars
- anything-llm
- 66k
- coca
- 989
Forks
- anything-llm
- 7.3k
- coca
- 117
Open issues
- anything-llm
- 315
- coca
- 0
Language
- anything-llm
- JavaScript
- coca
- Go
Adopt for
- 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.
- coca
- Coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions.
Persona
- anything-llm
- -
- coca
- -
Runtime
- anything-llm
- -
- coca
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- coca
- The Mozilla Public License version 2.0 applies to Coca, which offers a balance between open source freedom and ensuring contributions back to the community.
Last pushed
- anything-llm
- Sep 17, 2026
- coca
- Jan 6, 2026
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- coca
- Developer Tools
Trust and health
Maintenance
- anything-llm
- Very active (96%)
- coca
- Slowing (36%)
Days since push
- anything-llm
- 0d
- coca
- 256d
Open issues (now)
- anything-llm
- 315
- coca
- 0
Stars delta
- anything-llm
- +1.5k (30d)
- coca
- -1 (30d)
Open issues delta
- anything-llm
- -4 (30d)
- coca
- 0 (30d)
Owner type
- anything-llm
- Organization
- coca
- User
Full report
- anything-llm
- Trust report
- coca
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; coca is Go.
- License: anything-llm is MIT, coca is MPL-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 AI Agents, 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.
Choose coca if…
- coca is primarily Go; anything-llm is JavaScript.
- License: coca is MPL-2.0, anything-llm is MIT.
- Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed..
- Tags unique to coca: ai, architecture, automation, git.
- Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions
When NOT to use coca
- Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind
- Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (phodal/coca) · observed Sep 20, 2026
- GitHub forks (phodal/coca) · observed Sep 20, 2026
- Last push (phodal/coca) · observed Jan 6, 2026
- License file (MPL-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: anything-llm 66k · coca 989 (synced Sep 20, 2026).
Common questions
- What is the difference between anything-llm and coca?
- anything-llm: Self-hosted AI agent experience. coca: Toolbox for legacy system refactoring and analysis. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over coca?
- Choose anything-llm over coca when anything-llm is primarily JavaScript; coca is Go; License: anything-llm is MIT, coca is MPL-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 AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose coca over anything-llm?
- Choose coca over anything-llm when coca is primarily Go; anything-llm is JavaScript; License: coca is MPL-2.0, anything-llm is MIT; Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed.; Tags unique to coca: ai, architecture, automation, git; Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions.
- 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.
- When should I avoid coca?
- Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems
- Is anything-llm or coca more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 989). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and coca open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, coca: MPL-2.0).
- Where can I find alternatives to anything-llm or coca?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and coca alternatives (anything-llm markdown twin, coca 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, anything-llm or coca?
- anything-llm: Very active. coca: Slowing. 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 anything-llm and coca?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; coca trust report.