Comparison
aigis vs anything-llm
Verdict
Pick aigis when aigis is primarily Python; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; aigis is Python.
Markdown twin · aigis alternatives · anything-llm alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | aigis | anything-llm |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- aigis
- Deterministic, zero-dependency Python firewall for AI agents, MCP rug-pull, memory poisoning, indirect injection, exfil channels. 44 compliance templates (US/CN/JP/EU).
- anything-llm
- Self-hosted agent experience with deployment scripts for multiple environments
Stars
- aigis
- 51
- anything-llm
- 63k
Forks
- aigis
- 8
- anything-llm
- 6.9k
Open issues
- aigis
- 8
- anything-llm
- 320
Language
- aigis
- Python
- anything-llm
- JavaScript
Adopt for
- aigis
- -
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
Persona
- aigis
- -
- anything-llm
- -
Runtime
- aigis
- -
- anything-llm
- -
License
- aigis
- Apache-2.0
- anything-llm
- MIT
Last pushed
- aigis
- Jul 14, 2026
- anything-llm
- Jul 11, 2026
Categories
- aigis
- AI Agents, LLM Frameworks, Vector Databases
- anything-llm
- AI Agents, Inference & Serving
Trust and health
Days since push
- aigis
- 1d
- anything-llm
- 0d
Open issues (now)
- aigis
- 8
- anything-llm
- 320
Owner type
- aigis
- User
- anything-llm
- Organization
Full report
- aigis
- Trust report
- anything-llm
- Trust report
Choose aigis if…
- aigis is primarily Python; anything-llm is JavaScript.
- License: aigis is Apache-2.0, anything-llm is MIT.
- Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity.
- Also covers LLM Frameworks, Vector Databases.
- aigis ships Docker support for self-hosted deployment.
When NOT to use aigis
- 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; aigis is Python.
- License: anything-llm is MIT, aigis is Apache-2.0.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (killertcell428/aigis) · observed Jul 15, 2026
- GitHub forks (killertcell428/aigis) · observed Jul 15, 2026
- Last push (killertcell428/aigis) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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: aigis 51 · anything-llm 63k (synced Jul 15, 2026).
Common questions
- What is the difference between aigis and anything-llm?
- aigis: Deterministic, zero-dependency Python firewall for AI agents, MCP rug-pull, memory poisoning, indirect injection, exfil channels. 44 compliance templates (US/CN/JP/EU).. 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 aigis over anything-llm?
- Choose aigis over anything-llm when aigis is primarily Python; anything-llm is JavaScript; License: aigis is Apache-2.0, anything-llm is MIT; Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity; Also covers LLM Frameworks, Vector Databases; aigis ships Docker support for self-hosted deployment.
- When should I choose anything-llm over aigis?
- Choose anything-llm over aigis when anything-llm is primarily JavaScript; aigis is Python; License: anything-llm is MIT, aigis is Apache-2.0; 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 avoid aigis?
- 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 aigis or anything-llm more popular on GitHub?
- anything-llm has more GitHub stars (63,100 vs 51). Stars measure visibility, not whether either tool fits your constraints.
- Are aigis and anything-llm open source?
- Yes - both are open-source projects on GitHub (aigis: Apache-2.0, anything-llm: MIT).
- Where can I find alternatives to aigis or anything-llm?
- GraphCanon lists graph-backed alternatives at aigis alternatives and anything-llm alternatives (aigis 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, aigis or anything-llm?
- aigis: 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 aigis and anything-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aigis trust report; anything-llm trust report.