--- title: "agentwatch vs tma1" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cyberark-agentwatch-vs-tma1-ai-tma1" tools: ["cyberark-agentwatch", "tma1-ai-tma1"] --- # agentwatch vs tma1 *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentwatch if agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions; pick tma1 if tMA1 is specialized in local-first observability by tracking every LLM call and routing this information to the next agent turn via hooks and MCP. [agentwatch](https://www.cyberark.com) reports 125 GitHub stars, 11 forks, and 0 open issues, last pushed May 14, 2025. [tma1](https://tma1.ai/) has 117 stars, 14 forks, and 5 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [agentwatch's repository](https://github.com/cyberark/agentwatch) and [tma1's repository](https://github.com/tma1-ai/tma1). | | [agentwatch](/tools/cyberark-agentwatch.md) | [tma1](/tools/tma1-ai-tma1.md) | | --- | --- | --- | | Tagline | A powerful AI observability framework for monitoring and optimizing AI-driven applications. | Local-first observability for AI agents with LLM call tracking | | Stars | 125 | 117 | | Forks | 11 | 14 | | Open issues | 0 | 5 | | Language | Python | Go | | Adopt for | Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. | TMA1 is specialized in local-first observability by tracking every LLM call and routing this information to the next agent turn via hooks and MCP. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | TMA1 is available under the Apache-2.0 license, allowing for broad usage with attribution. | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentwatch](/tools/cyberark-agentwatch.md) | [tma1](/tools/tma1-ai-tma1.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 483d | 0d | | Open issues (now) | 0 | 5 | | Stars delta | +3 (30d) | +2 (30d) | | Open issues delta | 0 (30d) | -10 (30d) | | Full report | [trust report](/tools/cyberark-agentwatch/trust.md) | [trust report](/tools/tma1-ai-tma1/trust.md) | ## Decision facts: agentwatch - **Adopt for:** Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. ## Decision facts: tma1 - **Pricing:** freemium - Free open-source tool with no initial cost to use or modify according to its Apache-2.0 license. - **Requirements:** TMA1 requires an installation script that auto-configures and sets up GreptimeDB.; Operational requirements are platform-independent, as it supports macOS/Linux install scripts and a PowerShell one for Windows. - **Adopt for:** TMA1 is specialized in local-first observability by tracking every LLM call and routing this information to the next agent turn via hooks and MCP. - **License detail:** TMA1 is available under the Apache-2.0 license, allowing for broad usage with attribution. ## Choose when ### Choose agentwatch if… - agentwatch is primarily Python; tma1 is Go. - Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large-language-models. - When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models ### Choose tma1 if… - tma1 is primarily Go; agentwatch is Python. - Pricing: Free open-source tool with no initial cost to use or modify according to its Apache-2.0 license.. - Requirements: TMA1 requires an installation script that auto-configures and sets up GreptimeDB.; Operational requirements are platform-independent, as it supports macOS/Linux install scripts and a PowerShell one for Windows.. - Tags unique to tma1: agent-observability, claude-code, codex, greptimedb. - Use TMA1 if you are operating self-hosted AI agents and require detailed observability over LLM calls that can be routed into subsequent turns for further action. ## When NOT to use agentwatch - For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations - When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems ## When NOT to use tma1 - Avoid TMA1 if you prefer cloud-based solutions or require real-time collaboration features that it does not inherently support due to its self-hosted nature. - Do not use TMA1 in environments sensitive to open ports, since it runs a local server and dashboard accessible at default localhost settings which may not suit all security policies. ## Common questions ### What is the difference between agentwatch and tma1? agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. tma1: Local-first observability for AI agents with LLM call tracking. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentwatch over tma1? Choose agentwatch over tma1 when agentwatch is primarily Python; tma1 is Go; Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large-language-models; When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models. ### When should I choose tma1 over agentwatch? Choose tma1 over agentwatch when tma1 is primarily Go; agentwatch is Python; Pricing: Free open-source tool with no initial cost to use or modify according to its Apache-2.0 license.; Requirements: TMA1 requires an installation script that auto-configures and sets up GreptimeDB.; Operational requirements are platform-independent, as it supports macOS/Linux install scripts and a PowerShell one for Windows.; Tags unique to tma1: agent-observability, claude-code, codex, greptimedb; Use TMA1 if you are operating self-hosted AI agents and require detailed observability over LLM calls that can be routed into subsequent turns for further action. ### When should I avoid agentwatch? For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems ### When should I avoid tma1? Avoid TMA1 if you prefer cloud-based solutions or require real-time collaboration features that it does not inherently support due to its self-hosted nature. Do not use TMA1 in environments sensitive to open ports, since it runs a local server and dashboard accessible at default localhost settings which may not suit all security policies. ### Is agentwatch or tma1 more popular on GitHub? agentwatch has more GitHub stars (125 vs 117). Stars measure visibility, not whether either tool fits your constraints. ### Are agentwatch and tma1 open source? Yes - both are open-source projects on GitHub (agentwatch: Apache-2.0, tma1: Apache-2.0). ### Where can I find alternatives to agentwatch or tma1? GraphCanon lists graph-backed alternatives at [agentwatch alternatives](/tools/cyberark-agentwatch/alternatives) and [tma1 alternatives](/tools/tma1-ai-tma1/alternatives) ([agentwatch markdown twin](/tools/cyberark-agentwatch/alternatives.md), [tma1 markdown twin](/tools/tma1-ai-tma1/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/cyberark-agentwatch-vs-tma1-ai-tma1.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentwatch or tma1? agentwatch: Dormant. tma1: 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 agentwatch and tma1? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentwatch trust report](/tools/cyberark-agentwatch/trust); [tma1 trust report](/tools/tma1-ai-tma1/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cyberark-agentwatch`](/api/graphcanon/graph?tool=cyberark-agentwatch) - 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/_