--- title: "agentops vs agentos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-framerslab-agentos" tools: ["agentops-ai-agentops", "framerslab-agentos"] --- # agentops vs agentos *GraphCanon updated Aug 23, 2026* ## Verdict Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. [agentos](https://docs.agentos.sh) has 617 stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [agentos's repository](https://github.com/framerslab/agentos). | | [agentops](/tools/agentops-ai-agentops.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | | Stars | 5,771 | 617 | | Forks | 612 | 92 | | Open issues | 176 | 10 | | Language | Python | TypeScript | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 49d | 15d | | Open issues (now) | 176 | 10 | | Stars delta | Unknown | +16 (30d) | | Open issues delta | Unknown | +1 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/framerslab-agentos/trust.md) | ## Decision facts: agentops - **Adopt for:** AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Choose when ### Choose agentops if… - agentops is primarily Python; agentos is TypeScript. - License: agentops is MIT, agentos is Apache-2.0. - Tags unique to agentops: ai-agents, benchmarking, cost-tracking. - Also covers Evaluation & Observability. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose agentos if… - agentos is primarily TypeScript; agentops is Python. - License: agentos is Apache-2.0, agentops is MIT. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents ## When NOT to use agentops - If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI - In case self-hosting of components is impractical due to resource constraints ## When NOT to use agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## Common questions ### What is the difference between agentops and agentos? agentops: Python SDK for AI agent monitoring and LLM cost tracking. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over agentos? Choose agentops over agentos when agentops is primarily Python; agentos is TypeScript; License: agentops is MIT, agentos is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers Evaluation & Observability; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose agentos over agentops? Choose agentos over agentops when agentos is primarily TypeScript; agentops is Python; License: agentos is Apache-2.0, agentops is MIT; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents. ### When should I avoid agentops? If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints ### When should I avoid agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### Is agentops or agentos more popular on GitHub? agentops has more GitHub stars (5,771 vs 617). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and agentos open source? Yes - both are open-source projects on GitHub (agentops: MIT, agentos: Apache-2.0). ### Where can I find alternatives to agentops or agentos? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [agentos alternatives](/tools/framerslab-agentos/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [agentos markdown twin](/tools/framerslab-agentos/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/agentops-ai-agentops-vs-framerslab-agentos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or agentos? agentops: Steady. agentos: 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 agentops and agentos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [agentos trust report](/tools/framerslab-agentos/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentops-ai-agentops`](/api/graphcanon/graph?tool=agentops-ai-agentops) - 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/_