Comparison
anything-llm vs agents-from-scratch
Verdict
Pick anything-llm when anything-llm is primarily JavaScript; agents-from-scratch is Python; pick agents-from-scratch when agents-from-scratch is primarily Python; anything-llm is JavaScript.
Markdown twin · anything-llm alternatives · agents-from-scratch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | anything-llm | agents-from-scratch |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Slowing (182d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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 agent experience with deployment scripts for multiple environments
- agents-from-scratch
- Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.
Stars
- anything-llm
- 63k
- agents-from-scratch
- 901
Forks
- anything-llm
- 6.9k
- agents-from-scratch
- 226
Open issues
- anything-llm
- 320
- agents-from-scratch
- 6
Language
- anything-llm
- JavaScript
- agents-from-scratch
- Python
Adopt for
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
- agents-from-scratch
- -
Persona
- anything-llm
- -
- agents-from-scratch
- -
Runtime
- anything-llm
- -
- agents-from-scratch
- -
License
- anything-llm
- MIT
- agents-from-scratch
- MIT
Last pushed
- anything-llm
- Jul 11, 2026
- agents-from-scratch
- Jan 14, 2026
Categories
- anything-llm
- AI Agents, Inference & Serving
- agents-from-scratch
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- anything-llm
- Very active (96%)
- agents-from-scratch
- Slowing (36%)
Days since push
- anything-llm
- 0d
- agents-from-scratch
- 182d
Open issues (now)
- anything-llm
- 320
- agents-from-scratch
- 6
Owner type
- anything-llm
- Organization
- agents-from-scratch
- User
Full report
- anything-llm
- Trust report
- agents-from-scratch
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; agents-from-scratch is Python.
- Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, local-ai.
- 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.
Choose agents-from-scratch if…
- agents-from-scratch is primarily Python; anything-llm is JavaScript.
- Tags unique to agents-from-scratch: agent-architecture, ai-agents, ai-education, ai-from-scratch.
- Also covers LLM Frameworks.
When NOT to use agents-from-scratch
- Last GitHub push was 182 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on agents-from-scratch.
- 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.
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 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 (pguso/agents-from-scratch) · observed Jul 15, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Jul 15, 2026
- Last push (pguso/agents-from-scratch) · observed Jan 14, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: anything-llm 63k · agents-from-scratch 901 (synced Jul 11, 2026).
Common questions
- What is the difference between anything-llm and agents-from-scratch?
- anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. agents-from-scratch: Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over agents-from-scratch?
- Choose anything-llm over agents-from-scratch when anything-llm is primarily JavaScript; agents-from-scratch is Python; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, local-ai; 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 choose agents-from-scratch over anything-llm?
- Choose agents-from-scratch over anything-llm when agents-from-scratch is primarily Python; anything-llm is JavaScript; Tags unique to agents-from-scratch: agent-architecture, ai-agents, ai-education, ai-from-scratch; Also covers LLM Frameworks.
- 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.
- When should I avoid agents-from-scratch?
- Last GitHub push was 182 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on agents-from-scratch. 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.
- Is anything-llm or agents-from-scratch more popular on GitHub?
- anything-llm has more GitHub stars (63,100 vs 901). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and agents-from-scratch open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, agents-from-scratch: MIT).
- Where can I find alternatives to anything-llm or agents-from-scratch?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and agents-from-scratch alternatives (anything-llm markdown twin, agents-from-scratch 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 agents-from-scratch?
- anything-llm: Very active. agents-from-scratch: 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 agents-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; agents-from-scratch trust report.