agenttrail vs Tracely-ai
The two are close in size: 644 stars for agenttrail, 1.2k for Tracely-ai.
They split the axes: agenttrail leads on context depth, Tracely-ai on noise control and model freedom.
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
- 644
- Tracked growth
- not tracked long enough
- Maturity
- ●●●●●
- Last commit
- 4d ago
- Language
- HTML
- License
- MIT
- Cost to run
- Free, local
Promotes real failing production traces into hermetic, replayable regression cases that run offline in CI and block PRs, instead of relying on hand-authored datasets.
- Stars
- 1.2k
- Tracked growth
- +18.6%
- Maturity
- ●●●●●
- Last commit
- 5h ago
- Language
- Python
- License
- MIT
- Cost to run
- CI replay $0; live judges use your model API key.
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 | ●●●●● Per-run 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 | ●●●●● Rich rule & prompts |
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 | ●●●●● Bring-your-key |
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 tests — pick Tracely when you want failing runs promoted from real traces into deterministic, offline regression cases that gate PRs.
- Noise control: Clustering & gating (4/5 against 2/5)
- Model freedom: Bring-your-key (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 model freedom. 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: CI replay $0; live judges use your model API key..
Full profiles: sodiumsun/agenttrail and Jwuthri/Tracely-ai. Everything else in Observability & tracing.