Comparison
agent-opt vs RagaAI-Catalyst
Verdict
Pick agent-opt if agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies; pick RagaAI-Catalyst if ragaAI-Catalyst emerges as a specialized Python framework designed for monitoring and evaluating AI agents, with unique features around self-hosted dashboards, advanced analytics, and support for tracing and debugging.
Markdown twin · agent-opt alternatives · RagaAI-Catalyst alternatives
GraphCanon updated Oct 3, 2026
11views this month
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Trust & integrity
| Signal | agent-opt | RagaAI-Catalyst |
|---|---|---|
| Maintenance | Archived (95d since push) As of Oct 3, 2026 · github_public_v1 | Slowing (220d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 3, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 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
- agent-opt
- Open Source Library for Automated Optimization of AI Agent Workflows
- RagaAI-Catalyst
- Python SDK for AI agent observability and evaluation
Stars
- agent-opt
- 75
- RagaAI-Catalyst
- 16k
Forks
- agent-opt
- 9
- RagaAI-Catalyst
- 3.6k
Open issues
- agent-opt
- 0
- RagaAI-Catalyst
- 34
Language
- agent-opt
- Python
- RagaAI-Catalyst
- Python
Adopt for
- agent-opt
- Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies.
- RagaAI-Catalyst
- RagaAI-Catalyst emerges as a specialized Python framework designed for monitoring and evaluating AI agents, with unique features around self-hosted dashboards, advanced analytics, and support for tracing and debugging LL
Persona
- agent-opt
- -
- RagaAI-Catalyst
- -
Runtime
- agent-opt
- -
- RagaAI-Catalyst
- -
License
- agent-opt
- Apache-2.0
- RagaAI-Catalyst
- Apache-2.0
Last pushed
- agent-opt
- Jun 30, 2026
- RagaAI-Catalyst
- Feb 11, 2026
Categories
- agent-opt
- AI Agents, Evaluation & Observability
- RagaAI-Catalyst
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-opt
- Archived (8%)
- RagaAI-Catalyst
- Slowing (36%)
Days since push
- agent-opt
- 95d
- RagaAI-Catalyst
- 220d
Archived on GitHub
- agent-opt
- Yes
- RagaAI-Catalyst
- No
Open issues (now)
- agent-opt
- 0
- RagaAI-Catalyst
- 34
Stars delta
- agent-opt
- +4 (30d)
- RagaAI-Catalyst
- +14 (30d)
OSV dependency advisories
- agent-opt
- No lockfile (source not queried)
- RagaAI-Catalyst
- Published findings
Full report
- agent-opt
- Trust report
- RagaAI-Catalyst
- Trust report
Shared compatibility
- Python · agent-opt: Python runtime · RagaAI-Catalyst: Python runtime
Choose agent-opt if…
- Tags unique to agent-opt: agent, ai-agents, aioptimization, automation.
- - When your project needs seamless CI/CD integration alongside automated optimization
- More recently updated (last pushed Jun 30, 2026).
When NOT to use agent-opt
- - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10
- - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
Choose RagaAI-Catalyst if…
- Tags unique to RagaAI-Catalyst: agentic-ai, agentic-ai-development, agentneo, agents.
- When you need comprehensive tools for the observability of complex multi-agentic systems.
- More GitHub stars (16k vs 75) - visibility, not fit.
When NOT to use RagaAI-Catalyst
- When you prefer a language-agnostic solution or require support outside of the Python ecosystem.
- If your primary need is focused solely on basic monitoring without advanced debugging and evaluation features.
- For projects that do not utilize multi-agentic systems or do not benefit from timeline and execution graph visualizations.
- In scenarios where a fully managed service with no self-hosting requirements is preferred.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (future-agi/agent-opt) · observed Oct 3, 2026
- GitHub forks (future-agi/agent-opt) · observed Oct 3, 2026
- Last push (future-agi/agent-opt) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Oct 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (raga-ai-hub/RagaAI-Catalyst) · observed Sep 20, 2026
- GitHub forks (raga-ai-hub/RagaAI-Catalyst) · observed Sep 20, 2026
- Last push (raga-ai-hub/RagaAI-Catalyst) · observed Feb 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-opt 75 · RagaAI-Catalyst 16k (synced Oct 3, 2026).
Common questions
- What is the difference between agent-opt and RagaAI-Catalyst?
- agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. RagaAI-Catalyst: Python SDK for AI agent observability and evaluation. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-opt over RagaAI-Catalyst?
- Choose agent-opt over RagaAI-Catalyst when Tags unique to agent-opt: agent, ai-agents, aioptimization, automation; - When your project needs seamless CI/CD integration alongside automated optimization; More recently updated (last pushed Jun 30, 2026).
- When should I choose RagaAI-Catalyst over agent-opt?
- Choose RagaAI-Catalyst over agent-opt when Tags unique to RagaAI-Catalyst: agentic-ai, agentic-ai-development, agentneo, agents; When you need comprehensive tools for the observability of complex multi-agentic systems; More GitHub stars (16k vs 75) - visibility, not fit.
- When should I avoid agent-opt?
- - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
- When should I avoid RagaAI-Catalyst?
- When you prefer a language-agnostic solution or require support outside of the Python ecosystem. If your primary need is focused solely on basic monitoring without advanced debugging and evaluation features. For projects that do not utilize multi-agentic systems or do not benefit from timeline and execution graph visualizations. In scenarios where a fully managed service with no self-hosting requirements is preferred.
- Is agent-opt or RagaAI-Catalyst more popular on GitHub?
- RagaAI-Catalyst has more GitHub stars (16,162 vs 75). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-opt and RagaAI-Catalyst open source?
- Yes - both are open-source projects on GitHub (agent-opt: Apache-2.0, RagaAI-Catalyst: Apache-2.0).
- Where can I find alternatives to agent-opt or RagaAI-Catalyst?
- GraphCanon lists graph-backed alternatives at agent-opt alternatives and RagaAI-Catalyst alternatives (agent-opt markdown twin, RagaAI-Catalyst 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, agent-opt or RagaAI-Catalyst?
- agent-opt: Archived. RagaAI-Catalyst: Slowing. 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 agent-opt and RagaAI-Catalyst?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-opt trust report; RagaAI-Catalyst trust report.