Comparison
aigis vs langchain
Verdict
Pick aigis when license: aigis is Apache-2.0, langchain is MIT; pick langchain when license: langchain is MIT, aigis is Apache-2.0.
Markdown twin · aigis alternatives · langchain alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | aigis | langchain |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 1d · 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).
- langchain
- The agent engineering platform.
Stars
- aigis
- 51
- langchain
- 142k
Forks
- aigis
- 8
- langchain
- 24k
Open issues
- aigis
- 8
- langchain
- 419
Language
- aigis
- Python
- langchain
- Python
Adopt for
- aigis
- -
- langchain
- LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect
Persona
- aigis
- -
- langchain
- -
Runtime
- aigis
- -
- langchain
- -
License
- aigis
- Apache-2.0
- langchain
- MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.
Last pushed
- aigis
- Jul 14, 2026
- langchain
- Jul 14, 2026
Categories
- aigis
- AI Agents, LLM Frameworks, Vector Databases
- langchain
- AI Agents, LLM Frameworks
Trust and health
Days since push
- aigis
- 1d
- langchain
- 0d
Open issues (now)
- aigis
- 8
- langchain
- 419
Owner type
- aigis
- User
- langchain
- Organization
Full report
- aigis
- Trust report
- langchain
- Trust report
Shared compatibility
- Python · aigis: Python runtime · langchain: Python runtime
Choose aigis if…
- License: aigis is Apache-2.0, langchain is MIT.
- Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity.
- Also covers 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 langchain if…
- License: langchain is MIT, aigis is Apache-2.0.
- Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI..
- Tags unique to langchain: agents, ai-agents, anthropic, chatgpt.
- * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
When NOT to use langchain
- * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity.
- * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth
- * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
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 (langchain-ai/langchain) · observed Jul 14, 2026
- GitHub forks (langchain-ai/langchain) · observed Jul 14, 2026
- Last push (langchain-ai/langchain) · observed Jul 14, 2026
- License file (MIT) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aigis 51 · langchain 142k (synced Jul 15, 2026).
Common questions
- What is the difference between aigis and langchain?
- 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).. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories.
- When should I choose aigis over langchain?
- Choose aigis over langchain when License: aigis is Apache-2.0, langchain is MIT; Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity; Also covers Vector Databases; aigis ships Docker support for self-hosted deployment.
- When should I choose langchain over aigis?
- Choose langchain over aigis when License: langchain is MIT, aigis is Apache-2.0; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: agents, ai-agents, anthropic, chatgpt; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
- 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 langchain?
- * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
- Is aigis or langchain more popular on GitHub?
- langchain has more GitHub stars (141,713 vs 51). Stars measure visibility, not whether either tool fits your constraints.
- Are aigis and langchain open source?
- Yes - both are open-source projects on GitHub (aigis: Apache-2.0, langchain: MIT).
- Where can I find alternatives to aigis or langchain?
- GraphCanon lists graph-backed alternatives at aigis alternatives and langchain alternatives (aigis markdown twin, langchain 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 langchain?
- aigis: Very active. langchain: 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 langchain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aigis trust report; langchain trust report.