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Comparison

agentwatch vs tma1

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.

Markdown twin · agentwatch alternatives · tma1 alternatives

GraphCanon updated Sep 20, 2026

15views this month

agentwatch logo

agentwatch

cyberark/agentwatch

★ 125pushed May 14, 2025
vs
tma1 logo

tma1

tma1-ai/tma1

★ 117pushed Sep 10, 2026

Trust & integrity

Signalagentwatchtma1
Maintenance
Dormant (483d since push)
As of Sep 10, 2026 · github_public_v1
Very active (0d since push)
As of Sep 10, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 10, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 10, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
agentwatch trust reporttma1 trust reportTrust methodology

Tagline

agentwatch
A powerful AI observability framework for monitoring and optimizing AI-driven applications.
tma1
Local-first observability for AI agents with LLM call tracking

Stars

agentwatch
125
tma1
117

Forks

agentwatch
11
tma1
14

Open issues

agentwatch
0
tma1
5

Language

agentwatch
Python
tma1
Go

Adopt for

agentwatch
Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions.
tma1
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

agentwatch
-
tma1
-

Runtime

agentwatch
-
tma1
-

License

agentwatch
Apache-2.0
tma1
TMA1 is available under the Apache-2.0 license, allowing for broad usage with attribution.

Last pushed

agentwatch
May 14, 2025
tma1
Sep 10, 2026

Categories

agentwatch
AI Agents, Evaluation & Observability
tma1
AI Agents, Evaluation & Observability

Trust and health

Maintenance

agentwatch
Dormant (18%)
tma1
Very active (96%)

Days since push

agentwatch
483d
tma1
0d

Open issues (now)

agentwatch
0
tma1
5

Stars delta

agentwatch
+3 (30d)
tma1
+2 (30d)

Open issues delta

agentwatch
0 (30d)
tma1
-10 (30d)

Full report

agentwatch
Trust report
tma1
Trust report

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

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
GitHubDetails

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 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.
GitHubDetails

Explore

agentwatch trust report →tma1 trust report →AI Agents category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agentwatch 125 · tma1 117 (synced Sep 20, 2026).

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 and tma1 alternatives (agentwatch markdown twin, tma1 markdown twin), 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 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; tma1 trust report.

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