--- title: "holaOS vs langchain" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/holaboss-ai-holaos-vs-langchain-ai-langchain" tools: ["holaboss-ai-holaos", "langchain-ai-langchain"] --- # holaOS vs langchain *GraphCanon updated Jul 11, 2026* ## Verdict Pick holaOS when holaOS is primarily TypeScript; langchain is Python; pick langchain when langchain is primarily Python; holaOS is TypeScript. [holaOS](https://holaos.ai) reports 5.5k GitHub stars, 392 forks, and 7 open issues, last pushed Jun 22, 2026. [langchain](https://docs.langchain.com/langchain/) has 142k stars, 24k forks, and 419 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [holaOS's repository](https://github.com/holaboss-ai/holaOS) and [langchain's repository](https://github.com/langchain-ai/langchain). | | [holaOS](/tools/holaboss-ai-holaos.md) | [langchain](/tools/langchain-ai-langchain.md) | | --- | --- | --- | | Tagline | Your super agent for work: local-first, learn your working context in mins and never forget it. | The agent engineering platform. | | Stars | 5,499 | 141,504 | | Forks | 392 | 23,516 | | Open issues | 7 | 419 | | Language | TypeScript | 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 | Other | MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. | | Categories | AI Agents, Inference & Serving, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [holaOS](/tools/holaboss-ai-holaos.md) | [langchain](/tools/langchain-ai-langchain.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 19d | 0d | | Open issues (now) | 7 | 419 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/holaboss-ai-holaos/trust.md) | [trust report](/tools/langchain-ai-langchain/trust.md) | ## 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 holaOS if… - holaOS is primarily TypeScript; langchain is Python. - License: holaOS is Other, langchain is MIT. - Tags unique to holaOS: agent, agent-harness, agent-os, agentic. - Also covers Inference & Serving. ### Choose langchain if… - langchain is primarily Python; holaOS is TypeScript. - License: langchain is MIT, holaOS is Other. - 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, anthropic, chatgpt, deepagents. - * 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 holaOS - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. ## Common questions ### What is the difference between holaOS and langchain? holaOS: Your super agent for work: local-first, learn your working context in mins and never forget it.. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories. ### When should I choose holaOS over langchain? Choose holaOS over langchain when holaOS is primarily TypeScript; langchain is Python; License: holaOS is Other, langchain is MIT; Tags unique to holaOS: agent, agent-harness, agent-os, agentic; Also covers Inference & Serving. ### When should I choose langchain over holaOS? Choose langchain over holaOS when langchain is primarily Python; holaOS is TypeScript; License: langchain is MIT, holaOS is Other; 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, anthropic, chatgpt, deepagents; * 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 holaOS? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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 holaOS or langchain more popular on GitHub? langchain has more GitHub stars (141,504 vs 5,499). Stars measure visibility, not whether either tool fits your constraints. ### Are holaOS and langchain open source? Yes - both are open-source projects on GitHub (holaOS: Other, langchain: MIT). ### Where can I find alternatives to holaOS or langchain? GraphCanon lists graph-backed alternatives at [holaOS alternatives](/tools/holaboss-ai-holaos/alternatives) and [langchain alternatives](/tools/langchain-ai-langchain/alternatives) ([holaOS markdown twin](/tools/holaboss-ai-holaos/alternatives.md), [langchain markdown twin](/tools/langchain-ai-langchain/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/holaboss-ai-holaos-vs-langchain-ai-langchain.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, holaOS or langchain? holaOS: 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 holaOS and langchain? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [holaOS trust report](/tools/holaboss-ai-holaos/trust); [langchain trust report](/tools/langchain-ai-langchain/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=holaboss-ai-holaos`](/api/graphcanon/graph?tool=holaboss-ai-holaos) - 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/_