Comparison
agentwatch vs future-agi
Verdict
Pick agentwatch if agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions; pick future-agi if future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails.
Markdown twin · agentwatch alternatives · future-agi alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentwatch | future-agi |
|---|---|---|
| Maintenance | Dormant (451d since push) As of 1w · github_public_v1 | Very active (1d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- agentwatch
- A powerful AI observability framework for monitoring and optimizing AI-driven applications.
- future-agi
- End-to-end platform for evaluating, observing, and improving LLM and AI agent applications
Stars
- agentwatch
- 122
- future-agi
- 1.6k
Forks
- agentwatch
- 11
- future-agi
- 449
Open issues
- agentwatch
- 0
- future-agi
- 596
Language
- agentwatch
- Python
- future-agi
- Python
Adopt for
- agentwatch
- Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions.
- future-agi
- Future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails.
Persona
- agentwatch
- -
- future-agi
- -
Runtime
- agentwatch
- -
- future-agi
- -
License
- agentwatch
- Apache-2.0
- future-agi
- Apache-2.0
Last pushed
- agentwatch
- May 14, 2025
- future-agi
- Aug 1, 2026
Categories
- agentwatch
- AI Agents, Evaluation & Observability
- future-agi
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentwatch
- Dormant (18%)
- future-agi
- Very active (96%)
Days since push
- agentwatch
- 451d
- future-agi
- 1d
Open issues (now)
- agentwatch
- 0
- future-agi
- 596
Full report
- agentwatch
- Trust report
- future-agi
- Trust report
Choose agentwatch if…
- Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large language models.
- When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models
- Leaner open-issue backlog (0).
When NOT to use agentwatch
- For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations
- When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems
Choose future-agi if…
- Pricing: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels..
- Requirements: Min 4 GB RAM; Requires Docker.
- Tags unique to future-agi: ai-gateway, docker-compose, evals, llm.
- future-agi ships Docker support for self-hosted deployment.
- - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds.
When NOT to use future-agi
- - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available.
- - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cyberark/agentwatch) · observed Aug 9, 2026
- GitHub forks (cyberark/agentwatch) · observed Aug 9, 2026
- Last push (cyberark/agentwatch) · observed May 14, 2025
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (future-agi/future-agi) · observed Aug 2, 2026
- GitHub forks (future-agi/future-agi) · observed Aug 2, 2026
- Last push (future-agi/future-agi) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentwatch 122 · future-agi 1.6k (synced Aug 9, 2026).
Common questions
- What is the difference between agentwatch and future-agi?
- agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. future-agi: End-to-end platform for evaluating, observing, and improving LLM and AI agent applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentwatch over future-agi?
- Choose agentwatch over future-agi when Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large language models; When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models; Leaner open-issue backlog (0).
- When should I choose future-agi over agentwatch?
- Choose future-agi over agentwatch when Pricing: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to future-agi: ai-gateway, docker-compose, evals, llm; future-agi ships Docker support for self-hosted deployment; - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds.
- When should I avoid agentwatch?
- For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems
- When should I avoid future-agi?
- - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available. - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'.
- Is agentwatch or future-agi more popular on GitHub?
- future-agi has more GitHub stars (1,559 vs 122). Stars measure visibility, not whether either tool fits your constraints.
- Are agentwatch and future-agi open source?
- Yes - both are open-source projects on GitHub (agentwatch: Apache-2.0, future-agi: Apache-2.0).
- Where can I find alternatives to agentwatch or future-agi?
- GraphCanon lists graph-backed alternatives at agentwatch alternatives and future-agi alternatives (agentwatch markdown twin, future-agi 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, agentwatch or future-agi?
- agentwatch: Dormant. future-agi: Very active. 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 agentwatch and future-agi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentwatch trust report; future-agi trust report.