Comparison
traceAI vs ax
Verdict
Pick traceAI if traceAI is an open-source observability framework for AI applications, built on OpenTelemetry, that provides structured tracing for LLM calls, prompts, token counts, retrieval steps, and agent decisions; pick ax if ax is an agent-first toolset for managing observability and memory aimed at AI coding agents like Claude Code and Codex, with a focus on local-first strong typing.
Markdown twin · traceAI alternatives · ax alternatives
GraphCanon updated Sep 20, 2026
10views this month
Trust & integrity
| Signal | traceAI | ax |
|---|---|---|
| Maintenance | Active (21d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 10, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 10, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 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
- traceAI
- Open-source observability for AI applications
- ax
- Agent experience layer with observability and memory for AI coding agents.
Stars
- traceAI
- 221
- ax
- 107
Forks
- traceAI
- 44
- ax
- 13
Open issues
- traceAI
- 15
- ax
- 35
Language
- traceAI
- Python
- ax
- TypeScript
Adopt for
- traceAI
- traceAI is an open-source observability framework for AI applications, built on OpenTelemetry, that provides structured tracing for LLM calls, prompts, token counts, retrieval steps, and agent decisions.
- ax
- ax is an agent-first toolset for managing observability and memory aimed at AI coding agents like Claude Code and Codex, with a focus on local-first strong typing in TypeScript.
Persona
- traceAI
- -
- ax
- -
Runtime
- traceAI
- -
- ax
- -
License
- traceAI
- traceAI is available under the Apache-2.0 license, allowing for free use, modification, and distribution.
- ax
- AGPL-3.0
Last pushed
- traceAI
- Aug 27, 2026
- ax
- Sep 8, 2026
Categories
- traceAI
- Evaluation & Observability
- ax
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- traceAI
- Active (82%)
- ax
- Very active (96%)
Days since push
- traceAI
- 21d
- ax
- 1d
Open issues (now)
- traceAI
- 15
- ax
- 35
Stars delta
- traceAI
- +9 (30d)
- ax
- +14 (30d)
Open issues delta
- traceAI
- +4 (30d)
- ax
- +1 (30d)
Owner type
- traceAI
- Organization
- ax
- User
Full report
- traceAI
- Trust report
Choose traceAI if…
- traceAI is primarily Python; ax is TypeScript.
- License: traceAI is Apache-2.0, ax is AGPL-3.0.
- Pricing: traceAI is free and open-source, but users may incur costs based on the backend services they choose to integrate with..
- Requirements: Min 2 GB RAM; Python, TypeScript, Java, and C# are supported.; Requires OpenTelemetry-compatible backend for trace storage and visualization..
- Tags unique to traceAI: ai, langchain, large-language-models, observability.
- When you need to trace every LLM call, prompt, token count, retrieval step, and agent decision in your AI application.
When NOT to use traceAI
- If your project does not require detailed tracing of LLM calls, prompts, token counts, retrieval steps, and agent decisions.
- When you are working exclusively with a single AI framework that does not require cross-language consistency.
- If you are looking for a solution that is not open-source or does not support OpenTelemetry.
- When you prefer a vendor-specific solution over a vendor-agnostic approach.
Choose ax if…
- ax is primarily TypeScript; traceAI is Python.
- License: ax is AGPL-3.0, traceAI is Apache-2.0.
- Tags unique to ax: agent-memory, agent-observability, bun, claude-code.
- Also covers AI Agents.
- For projects requiring detailed observability and memory management specific to AI-driven coding agents
When NOT to use ax
- Avoid if seeking a tool agnostic to AI-specific functionalities like those for Claude Code and Codex
- Not recommended when looking for solutions outside local-first approaches in TypeScript environment
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (future-agi/traceAI) · observed Sep 20, 2026
- GitHub forks (future-agi/traceAI) · observed Sep 20, 2026
- Last push (future-agi/traceAI) · observed Aug 27, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Necmttn/ax) · observed Sep 20, 2026
- GitHub forks (Necmttn/ax) · observed Sep 20, 2026
- Last push (Necmttn/ax) · observed Sep 8, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: traceAI 221 · ax 107 (synced Sep 20, 2026).
Common questions
- What is the difference between traceAI and ax?
- traceAI: Open-source observability for AI applications. ax: Agent experience layer with observability and memory for AI coding agents.. See the comparison table for live GitHub stats and shared categories.
- When should I choose traceAI over ax?
- Choose traceAI over ax when traceAI is primarily Python; ax is TypeScript; License: traceAI is Apache-2.0, ax is AGPL-3.0; Pricing: traceAI is free and open-source, but users may incur costs based on the backend services they choose to integrate with.; Requirements: Min 2 GB RAM; Python, TypeScript, Java, and C# are supported.; Requires OpenTelemetry-compatible backend for trace storage and visualization.; Tags unique to traceAI: ai, langchain, large-language-models, observability; When you need to trace every LLM call, prompt, token count, retrieval step, and agent decision in your AI application.
- When should I choose ax over traceAI?
- Choose ax over traceAI when ax is primarily TypeScript; traceAI is Python; License: ax is AGPL-3.0, traceAI is Apache-2.0; Tags unique to ax: agent-memory, agent-observability, bun, claude-code; Also covers AI Agents; For projects requiring detailed observability and memory management specific to AI-driven coding agents.
- When should I avoid traceAI?
- If your project does not require detailed tracing of LLM calls, prompts, token counts, retrieval steps, and agent decisions. When you are working exclusively with a single AI framework that does not require cross-language consistency. If you are looking for a solution that is not open-source or does not support OpenTelemetry. When you prefer a vendor-specific solution over a vendor-agnostic approach.
- When should I avoid ax?
- Avoid if seeking a tool agnostic to AI-specific functionalities like those for Claude Code and Codex Not recommended when looking for solutions outside local-first approaches in TypeScript environment
- Is traceAI or ax more popular on GitHub?
- traceAI has more GitHub stars (221 vs 107). Stars measure visibility, not whether either tool fits your constraints.
- Are traceAI and ax open source?
- Yes - both are open-source projects on GitHub (traceAI: Apache-2.0, ax: AGPL-3.0).
- Where can I find alternatives to traceAI or ax?
- GraphCanon lists graph-backed alternatives at traceAI alternatives and ax alternatives (traceAI markdown twin, ax 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, traceAI or ax?
- traceAI: Active. ax: 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 traceAI and ax?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: traceAI trust report; ax trust report.