--- title: "agentops vs manifest" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-mnfst-manifest" tools: ["agentops-ai-agentops", "mnfst-manifest"] --- # agentops vs manifest *GraphCanon updated Sep 20, 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 manifest if manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token and cost-tracking. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 625 forks, and 184 open issues, last pushed Jun 25, 2026. [manifest](https://manifest.build) has 7.5k stars, 508 forks, and 110 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [manifest's repository](https://github.com/mnfst/manifest). | | [agentops](/tools/agentops-ai-agentops.md) | [manifest](/tools/mnfst-manifest.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Connect Your Agents And Harnesses With Any Provider | | Stars | 5,830 | 7,514 | | Forks | 625 | 508 | | Open issues | 184 | 110 | | 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. | Manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token and cost-tracking. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [manifest](/tools/mnfst-manifest.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 86d | 0d | | Open issues (now) | 184 | 110 | | Stars delta | +59 (30d) | +100 (30d) | | Open issues delta | +8 (30d) | +1 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/mnfst-manifest/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: manifest - **Adopt for:** Manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token and cost-tracking. ## Choose when ### Choose agentops if… - agentops is primarily Python; manifest is TypeScript. - Tags unique to agentops: benchmarking, cost-tracking. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose manifest if… - manifest is primarily TypeScript; agentops is Python. - Tags unique to manifest: llm-observability. - When you need to establish connections between multiple AI providers without altering the core functionality or architecture of your existing systems. ## 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 manifest - If your project strictly requires use cases with non-TypeScript languages, as this would necessitate additional integration work. - When you require a mature framework; given Manifest's beta status, it might not be the best choice for production environments sensitive to potential bugs or incomplete features. ## Common questions ### What is the difference between agentops and manifest? agentops: Python SDK for AI agent monitoring and LLM cost tracking. manifest: Connect Your Agents And Harnesses With Any Provider. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over manifest? Choose agentops over manifest when agentops is primarily Python; manifest is TypeScript; Tags unique to agentops: benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose manifest over agentops? Choose manifest over agentops when manifest is primarily TypeScript; agentops is Python; Tags unique to manifest: llm-observability; When you need to establish connections between multiple AI providers without altering the core functionality or architecture of your existing systems. ### 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 manifest? If your project strictly requires use cases with non-TypeScript languages, as this would necessitate additional integration work. When you require a mature framework; given Manifest's beta status, it might not be the best choice for production environments sensitive to potential bugs or incomplete features. ### Is agentops or manifest more popular on GitHub? manifest has more GitHub stars (7,514 vs 5,830). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and manifest open source? Yes - both are open-source projects on GitHub (agentops: MIT, manifest: MIT). ### Where can I find alternatives to agentops or manifest? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [manifest alternatives](/tools/mnfst-manifest/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [manifest markdown twin](/tools/mnfst-manifest/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-mnfst-manifest.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or manifest? agentops: Steady. manifest: 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 agentops and manifest? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [manifest trust report](/tools/mnfst-manifest/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/_