agenttrail vs RagaAI-Catalyst
RagaAI-Catalyst is much bigger: 16.2k stars against 715. Over the days we have tracked them agenttrail moved +60% and RagaAI-Catalyst +0.3%, so agenttrail is growing faster right now.
They split the axes: agenttrail leads on context depth and setup ease, RagaAI-Catalyst on customization 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
- 715
- Tracked growth
- +60%
- Maturity
- ●●●●●
- Last commit
- 20d ago
- Language
- JavaScript
- License
- MIT
- Cost to run
- Free, local
Combines agent/LLM tracing, evaluation, guardrails and red‑teaming with a self‑hosted dashboard and execution-timeline analytics for multi-agent debugging.
- Stars
- 16.2k
- Tracked growth
- +0.3%
- Maturity
- ●●●●●
- Last commit
- 229d ago
- Language
- Python
- License
- Apache-2.0
- Cost to run
- Requires RagaAI account; external LLM usage billed to your provider.
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 | RagaAI-Catalyst |
|---|---|---|
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/file only |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Minimal signals | ●●●●● Configurable thresholds |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Repo-level config | ●●●●● Custom rules & 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 | ●●●●● API key + config |
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)
- Setup ease: One-command start (5/5 against 3/5)
Pick RagaAI-Catalyst if…
Comprehensive observability — pick this when you need end-to-end tracing, evaluation and guardrails for agentic systems with an optional self-hosted dashboard and red‑teaming tools.
- Customization: Custom rules & prompts (5/5 against 3/5)
- Model freedom: Bring-your-key (5/5 against 3/5)
What people want from each one
sodiumsun/agenttrail
raga-ai-hub/RagaAI-Catalyst
Questions people ask
Is agenttrail better than RagaAI-Catalyst?
They split the axes: agenttrail leads on context depth and setup ease, RagaAI-Catalyst on customization 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 RagaAI-Catalyst keeps my code private?
agenttrail: Fully local (5/5). RagaAI-Catalyst: Self-hostable (4/5).
What does each one cost to run?
agenttrail: Free, local. RagaAI-Catalyst: Requires RagaAI account; external LLM usage billed to your provider..
Full profiles: sodiumsun/agenttrail and raga-ai-hub/RagaAI-Catalyst. Everything else in Observability & tracing.