agenttrail vs Tracely-ai
The two are close in size: 934 stars for agenttrail, 1.2k for Tracely-ai.
They split the axes: agenttrail leads on context depth, Tracely-ai on noise control and customization.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Provides a local, real-time observability map of coding agents' plans, tool calls, and file edits without any cloud service, account, or telemetry.
- Stars
- 934
- Tracked growth
- +108.9%
- Maturity
- ●●●●●
- Last commit
- 42d ago
- Language
- JavaScript
- License
- MIT
- Cost to run
- Free, local
Promotes real production traces into hermetic, replayable regression tests and CI gates instead of relying on hand-authored datasets.
- Stars
- 1.2k
- Tracked growth
- not tracked long enough
- Maturity
- ●●●●●
- Last commit
- 1d ago
- Language
- Python
- License
- MIT
- Cost to run
- Self-hosted; optional provider API keys for LLM judges
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | agenttrail | Tracely-ai |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Whole-repo analysis | ●●●●● Diff only |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Minimal signals | ●●●●● Clustering & gating |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Repo-level config | ●●●●● Custom evaluators & flows |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Fully local | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Multi-provider | ●●●●● Multiple providers |
Setup ease What it takes to get a first useful run out of it. | ●●●●● One-command start | ●●●●● One-command demo |
Which one to pick
Pick agenttrail if…
Privacy-first — run with one command to get a local, read-only live dashboard of agent plans and file activity bound to 127.0.0.1 with no external telemetry.
- Context depth: Whole-repo analysis (5/5 against 1/5)
Pick Tracely-ai if…
Production-driven testing — freeze failing production traces into deterministic, offline regression cases and block PRs that would reintroduce them.
- Noise control: Clustering & gating (5/5 against 2/5)
- Customization: Custom evaluators & flows (5/5 against 3/5)
What people want from each one
sodiumsun/agenttrail
Questions people ask
Is agenttrail better than Tracely-ai?
They split the axes: agenttrail leads on context depth, Tracely-ai on noise control and customization. agenttrail is worth picking when privacy-first — run with one command to get a local, read-only live dashboard of agent plans and file activity bound to 127.0.0.1 with no external telemetry.
Which of agenttrail and Tracely-ai keeps my code private?
agenttrail: Fully local (5/5). Tracely-ai: Self-hostable (4/5).
What does each one cost to run?
agenttrail: Free, local. Tracely-ai: Self-hosted; optional provider API keys for LLM judges.
Full profiles: sodiumsun/agenttrail and jwuthri-cloud/Tracely-ai. Everything else in Observability & tracing.