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Comparison

tma1 vs agentcanvas

Verdict

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; pick agentcanvas if agentcanvas is for developers and AI practitioners who require detailed visual representations of Pydantic AI agent workflows, including cost breakdowns, extracted from Logfire traces.

Markdown twin · tma1 alternatives · agentcanvas alternatives

GraphCanon updated Sep 20, 2026

11views this month

tma1 logo

tma1

tma1-ai/tma1

★ 117pushed Sep 10, 2026
vs
agentcanvas logo

agentcanvas

vstorm-co/agentcanvas

★ 82pushed Aug 1, 2026

Trust & integrity

Signaltma1agentcanvas
Maintenance
Very active (0d since push)
As of Sep 10, 2026 · github_public_v1
Steady (40d since push)
As of Sep 11, 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 11, 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
tma1 trust reportagentcanvas trust reportTrust methodology

Tagline

tma1
Local-first observability for AI agents with LLM call tracking
agentcanvas
Visualize Pydantic AI agent workflows using Logfire traces

Stars

tma1
117
agentcanvas
82

Forks

tma1
14
agentcanvas
9

Open issues

tma1
5
agentcanvas
0

Language

tma1
Go
agentcanvas
Python

Adopt for

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.
agentcanvas
agentcanvas is for developers and AI practitioners who require detailed visual representations of Pydantic AI agent workflows, including cost breakdowns, extracted from Logfire traces.

Persona

tma1
-
agentcanvas
-

Runtime

tma1
-
agentcanvas
-

License

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

Last pushed

tma1
Sep 10, 2026
agentcanvas
Aug 1, 2026

Categories

tma1
AI Agents, Evaluation & Observability
agentcanvas
AI Agents, Evaluation & Observability

Trust and health

Maintenance

tma1
Very active (96%)
agentcanvas
Steady (60%)

Days since push

tma1
0d
agentcanvas
40d

Open issues (now)

tma1
5
agentcanvas
0

Stars delta

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

Open issues delta

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

Full report

tma1
Trust report
agentcanvas
Trust report

Choose tma1 if…

  • tma1 is primarily Go; agentcanvas is Python.
  • License: tma1 is Apache-2.0, agentcanvas is MIT.
  • 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

Choose agentcanvas if…

  • agentcanvas is primarily Python; tma1 is Go.
  • License: agentcanvas is MIT, tma1 is Apache-2.0.
  • Tags unique to agentcanvas: agents, ai-agents, genai, llm.
  • To generate interactive HTML diagrams that provide visibility into the tools, sub-agents, tokens, and costs involved in running a Pydantic AI agent.

When NOT to use agentcanvas

  • If your AI agents are not built using Pydantic or do not utilize Logfire for tracing, as agentcanvas specifically works with these technologies.
  • When the level of detail provided in the HTML diagrams is unnecessary or when you lack access to the required Logfire traces and associated tokens.
GitHubDetails

Explore

tma1 trust report →agentcanvas 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: tma1 117 · agentcanvas 82 (synced Sep 20, 2026).

Common questions

What is the difference between tma1 and agentcanvas?
tma1: Local-first observability for AI agents with LLM call tracking. agentcanvas: Visualize Pydantic AI agent workflows using Logfire traces. See the comparison table for live GitHub stats and shared categories.
When should I choose tma1 over agentcanvas?
Choose tma1 over agentcanvas when tma1 is primarily Go; agentcanvas is Python; License: tma1 is Apache-2.0, agentcanvas is MIT; 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 choose agentcanvas over tma1?
Choose agentcanvas over tma1 when agentcanvas is primarily Python; tma1 is Go; License: agentcanvas is MIT, tma1 is Apache-2.0; Tags unique to agentcanvas: agents, ai-agents, genai, llm; To generate interactive HTML diagrams that provide visibility into the tools, sub-agents, tokens, and costs involved in running a Pydantic AI agent.
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.
When should I avoid agentcanvas?
If your AI agents are not built using Pydantic or do not utilize Logfire for tracing, as agentcanvas specifically works with these technologies. When the level of detail provided in the HTML diagrams is unnecessary or when you lack access to the required Logfire traces and associated tokens.
Is tma1 or agentcanvas more popular on GitHub?
tma1 has more GitHub stars (117 vs 82). Stars measure visibility, not whether either tool fits your constraints.
Are tma1 and agentcanvas open source?
Yes - both are open-source projects on GitHub (tma1: Apache-2.0, agentcanvas: MIT).
Where can I find alternatives to tma1 or agentcanvas?
GraphCanon lists graph-backed alternatives at tma1 alternatives and agentcanvas alternatives (tma1 markdown twin, agentcanvas 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, tma1 or agentcanvas?
tma1: Very active. agentcanvas: 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 tma1 and agentcanvas?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: tma1 trust report; agentcanvas trust report.

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