--- title: "agno vs better-agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-langwatch-better-agents" tools: ["agno-agi-agno", "langwatch-better-agents"] --- # agno vs better-agents *GraphCanon updated Aug 20, 2026* ## Verdict Pick agno if use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions; pick better-agents if better-agents is a TypeScript-driven framework and toolset for developing and testing AI agents, featuring integration capabilities with different coding assistants. [agno](https://docs.agno.com) reports 42k GitHub stars, 5.8k forks, and 1.3k open issues, last pushed Aug 19, 2026. [better-agents](https://github.com/langwatch/better-agents) has 1.6k stars, 152 forks, and 15 open issues, last pushed Jun 3, 2026. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [better-agents's repository](https://github.com/langwatch/better-agents). | | [agno](/tools/agno-agi-agno.md) | [better-agents](/tools/langwatch-better-agents.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | Standards for building agents, better | | Stars | 41,785 | 1,553 | | Forks | 5,793 | 152 | | Open issues | 1,261 | 15 | | Language | Python | TypeScript | | Adopt for | Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. | better-agents is a TypeScript-driven framework and toolset for developing and testing AI agents, featuring integration capabilities with different coding assistants. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [better-agents](/tools/langwatch-better-agents.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 78d | | Open issues (now) | 1.3k | 15 | | Stars delta | +487 (30d) | +1 (30d) | | Open issues delta | +264 (30d) | 0 (30d) | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/langwatch-better-agents/trust.md) | ## Decision facts: agno - **Adopt for:** Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ## Decision facts: better-agents - **Requirements:** - Ensure compatibility by using Node.js version 22+ along with npm or pnpm for dependency management.; - Access to an API key from LangWatch and your chosen LLM Provider is necessary. - **Adopt for:** better-agents is a TypeScript-driven framework and toolset for developing and testing AI agents, featuring integration capabilities with different coding assistants. ## Choose when ### Choose agno if… - agno is primarily Python; better-agents is TypeScript. - License: agno is Apache-2.0, better-agents is MIT. - Tags unique to agno: agents, developer-tools, python. - Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### Choose better-agents if… - better-agents is primarily TypeScript; agno is Python. - License: better-agents is MIT, agno is Apache-2.0. - Requirements: - Ensure compatibility by using Node.js version 22+ along with npm or pnpm for dependency management.; - Access to an API key from LangWatch and your chosen LLM Provider is necessary.. - Tags unique to better-agents: agent-framework, agent-testing, cli, dev-tool. - - You prioritize leveraging TypeScript in your development workflow and require strong type safety. ## When NOT to use agno - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use better-agents - - If you are working within an exclusively Python-based environment without intending to interact with TypeScript components or type safety mechanisms. - - Your development setup doesn’t require or support integration with the specified coding assistants like Claude Code, Cursor, Antigravity, or Kilocode CLI. ## Common questions ### What is the difference between agno and better-agents? agno: Build, run, and manage your own agent platform.. better-agents: Standards for building agents, better. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over better-agents? Choose agno over better-agents when agno is primarily Python; better-agents is TypeScript; License: agno is Apache-2.0, better-agents is MIT; Tags unique to agno: agents, developer-tools, python; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### When should I choose better-agents over agno? Choose better-agents over agno when better-agents is primarily TypeScript; agno is Python; License: better-agents is MIT, agno is Apache-2.0; Requirements: - Ensure compatibility by using Node.js version 22+ along with npm or pnpm for dependency management.; - Access to an API key from LangWatch and your chosen LLM Provider is necessary.; Tags unique to better-agents: agent-framework, agent-testing, cli, dev-tool; - You prioritize leveraging TypeScript in your development workflow and require strong type safety. ### When should I avoid agno? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid better-agents? - If you are working within an exclusively Python-based environment without intending to interact with TypeScript components or type safety mechanisms. - Your development setup doesn’t require or support integration with the specified coding assistants like Claude Code, Cursor, Antigravity, or Kilocode CLI. ### Is agno or better-agents more popular on GitHub? agno has more GitHub stars (41,785 vs 1,553). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and better-agents open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, better-agents: MIT). ### Where can I find alternatives to agno or better-agents? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [better-agents alternatives](/tools/langwatch-better-agents/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [better-agents markdown twin](/tools/langwatch-better-agents/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/agno-agi-agno-vs-langwatch-better-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or better-agents? agno: Very active. better-agents: Steady. 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 agno and better-agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [better-agents trust report](/tools/langwatch-better-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno) - 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/_