agentops vs re_gent
agentops is much bigger: 5.9k stars against 801. Over the days we have tracked them agentops moved +3.1% and re_gent +2.4%, so agentops is growing faster right now.
They split the axes: agentops leads on model freedom, re_gent on context depth and noise control and setup ease.
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 end-to-end agent session replays, LLM cost tracking and debugging across many agent frameworks with minimal instrumentation.
- Stars
- 5.9k
- Tracked growth
- +3.1%
- Maturity
- ●●●●●
- Last commit
- 117d ago
- Language
- Python
- License
- MIT
- Cost to run
- AgentOps API key for hosted dashboard; can self-host
Provides content-addressed, per-step audit trails and per-line 'blame' tied to the exact prompt and conversation that produced a change—something traditional VCS and most tools do not track.
- Stars
- 801
- Tracked growth
- +2.4%
- Maturity
- ●●●●●
- Last commit
- 109d ago
- Language
- Go
- License
- Apache-2.0
- Cost to run
- Free local CLI; external model/API usage may incur costs
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 | agentops | re_gent |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Runtime tracing | ●●●●● Workspace snapshot |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● None mentioned | ●●●●● Ignore & dedupe |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Config options | ●●●●● Config file & hooks |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hostable | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Bring-your-own-key | ●●●●● Known providers |
Setup ease What it takes to get a first useful run out of it. | ●●●●● API key + init | ●●●●● One-command init |
Which one to pick
Pick agentops if…
Easy integration — one-line initialization (agentops.init) yields session replays, LLM call tracking, and cost analytics across multiple agent frameworks, with an option to self-host.
- Model freedom: Bring-your-own-key (5/5 against 3/5)
Pick re_gent if…
Agent-auditability — pick re_gent when you need a zero-config, local audit trail that shows which prompt wrote each line and lets you inspect full step and conversation context.
- Context depth: Workspace snapshot (5/5 against 1/5)
- Noise control: Ignore & dedupe (3/5 against 1/5)
- Setup ease: One-command init (5/5 against 3/5)
What people want from each one
AgentOps-AI/agentops
regent-vcs/re_gent
Questions people ask
Is agentops better than re_gent?
They split the axes: agentops leads on model freedom, re_gent on context depth and noise control and setup ease. agentops is worth picking when easy integration — one-line initialization (agentops.init) yields session replays, LLM call tracking, and cost analytics across multiple agent frameworks, with an option to self-host.
Which of agentops and re_gent keeps my code private?
agentops: Self-hostable (4/5). re_gent: Self-hostable (4/5).
What does each one cost to run?
agentops: AgentOps API key for hosted dashboard; can self-host. re_gent: Free local CLI; external model/API usage may incur costs.
Full profiles: AgentOps-AI/agentops and regent-vcs/re_gent. Everything else in Observability & tracing.