--- title: "langchain vs prismor" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langchain-vs-prismorsec-prismor" tools: ["langchain-ai-langchain", "prismorsec-prismor"] --- # langchain vs prismor *GraphCanon updated Jul 15, 2026* ## Verdict Pick langchain when license: langchain is MIT, prismor is Apache-2.0; pick prismor when license: prismor is Apache-2.0, langchain is MIT. [langchain](https://docs.langchain.com/langchain/) reports 142k GitHub stars, 24k forks, and 419 open issues, last pushed Jul 14, 2026. [prismor](https://prismor.dev) has 235 stars, 18 forks, and 13 open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [langchain's repository](https://github.com/langchain-ai/langchain) and [prismor's repository](https://github.com/PrismorSec/prismor). | | [langchain](/tools/langchain-ai-langchain.md) | [prismor](/tools/prismorsec-prismor.md) | | --- | --- | --- | | Tagline | The agent engineering platform. | Runtime Firewall for AI agents which catches the rogue tool call before it runs. Dangerous commands, secret leaks, prompt injection. For Claude Code, Codex and framework SDKs | | Stars | 141,713 | 235 | | Forks | 23,545 | 18 | | Open issues | 419 | 13 | | Language | Python | Python | | Adopt for | 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 | - | - | | Runtime | - | - | | License | MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain](/tools/langchain-ai-langchain.md) | [prismor](/tools/prismorsec-prismor.md) | | --- | --- | --- | | Open issues (now) | 419 | 13 | | Full report | [trust report](/tools/langchain-ai-langchain/trust.md) | [trust report](/tools/prismorsec-prismor/trust.md) | ## Shared compatibility - **Python**: [langchain](/tools/langchain-ai-langchain.md) - Python runtime; [prismor](/tools/prismorsec-prismor.md) - Python runtime ## Decision facts: langchain - **Pricing:** freemium - LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI. - **Adopt for:** 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 - **License detail:** MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. ## Choose when ### Choose langchain if… - License: langchain is MIT, prismor 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: anthropic, chatgpt, deepagents, enterprise. - * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations. ### Choose prismor if… - License: prismor is Apache-2.0, langchain is MIT. - Tags unique to prismor: agent-security, agentic-ai, ai-security, claude code. - Also covers Vector Databases. ## 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. ## When NOT to use prismor - 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. ## Common questions ### What is the difference between langchain and prismor? langchain: The agent engineering platform.. prismor: Runtime Firewall for AI agents which catches the rogue tool call before it runs. Dangerous commands, secret leaks, prompt injection. For Claude Code, Codex and framework SDKs. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain over prismor? Choose langchain over prismor when License: langchain is MIT, prismor 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: anthropic, chatgpt, deepagents, enterprise; * 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 choose prismor over langchain? Choose prismor over langchain when License: prismor is Apache-2.0, langchain is MIT; Tags unique to prismor: agent-security, agentic-ai, ai-security, claude code; Also covers Vector Databases. ### 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. ### When should I avoid prismor? 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. ### Is langchain or prismor more popular on GitHub? langchain has more GitHub stars (141,713 vs 235). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain and prismor open source? Yes - both are open-source projects on GitHub (langchain: MIT, prismor: Apache-2.0). ### Where can I find alternatives to langchain or prismor? GraphCanon lists graph-backed alternatives at [langchain alternatives](/tools/langchain-ai-langchain/alternatives) and [prismor alternatives](/tools/prismorsec-prismor/alternatives) ([langchain markdown twin](/tools/langchain-ai-langchain/alternatives.md), [prismor markdown twin](/tools/prismorsec-prismor/alternatives.md)), 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](/compare/langchain-ai-langchain-vs-prismorsec-prismor.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain or prismor? langchain: Very active. prismor: 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 langchain and prismor? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain trust report](/tools/langchain-ai-langchain/trust); [prismor trust report](/tools/prismorsec-prismor/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-langchain`](/api/graphcanon/graph?tool=langchain-ai-langchain) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_