Comparison
agentops vs tma1
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 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 · agentops alternatives · tma1 alternatives
GraphCanon updated Sep 19, 2026
16views this month
Trust & integrity
| Signal | agentops | tma1 |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 19, 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 19, 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 |
Tagline
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- tma1
- Local-first observability for AI agents with LLM call tracking
Stars
- agentops
- 5.8k
- tma1
- 117
Forks
- agentops
- 624
- tma1
- 14
Open issues
- agentops
- 184
- tma1
- 5
Language
- agentops
- Python
- tma1
- Go
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- 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
- agentops
- -
- tma1
- -
Runtime
- agentops
- -
- tma1
- -
License
- agentops
- MIT
- tma1
- TMA1 is available under the Apache-2.0 license, allowing for broad usage with attribution.
Last pushed
- agentops
- Jun 25, 2026
- tma1
- Sep 10, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- tma1
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- tma1
- Very active (96%)
Days since push
- agentops
- 86d
- tma1
- 0d
Open issues (now)
- agentops
- 184
- tma1
- 5
Stars delta
- agentops
- +58 (30d)
- tma1
- +2 (30d)
Open issues delta
- agentops
- +8 (30d)
- tma1
- -10 (30d)
Full report
- agentops
- Trust report
- tma1
- Trust report
Choose agentops if…
- agentops is primarily Python; tma1 is Go.
- License: agentops is MIT, tma1 is Apache-2.0.
- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
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
Choose tma1 if…
- tma1 is primarily Go; agentops is Python.
- License: tma1 is Apache-2.0, agentops 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentOps-AI/agentops) · observed Sep 19, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Sep 19, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (tma1-ai/tma1) · observed Sep 10, 2026
- GitHub forks (tma1-ai/tma1) · observed Sep 10, 2026
- Last push (tma1-ai/tma1) · observed Sep 10, 2026
- License file (Apache-2.0) · observed Sep 10, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentops 5.8k · tma1 117 (synced Sep 19, 2026).
Common questions
- What is the difference between agentops and tma1?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. 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 agentops over tma1?
- Choose agentops over tma1 when agentops is primarily Python; tma1 is Go; License: agentops is MIT, tma1 is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose tma1 over agentops?
- Choose tma1 over agentops when tma1 is primarily Go; agentops is Python; License: tma1 is Apache-2.0, agentops 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 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 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 agentops or tma1 more popular on GitHub?
- agentops has more GitHub stars (5,829 vs 117). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and tma1 open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, tma1: Apache-2.0).
- Where can I find alternatives to agentops or tma1?
- GraphCanon lists graph-backed alternatives at agentops alternatives and tma1 alternatives (agentops 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, agentops or tma1?
- agentops: Steady. 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 agentops and tma1?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; tma1 trust report.