Comparison
future-agi vs palico-ai
Verdict
Pick future-agi if future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,; pick palico-ai if palico-ai builds, improves performance of, and deploys AI applications using TypeScript. It encompasses technologies from framework development to evaluation.
Markdown twin · future-agi alternatives · palico-ai alternatives
GraphCanon updated Sep 20, 2026
8views this month
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Trust & integrity
| Signal | future-agi | palico-ai |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (662d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 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 Sep 18, 2026 · osv@v1 | No lockfile (source not queried) 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
- future-agi
- Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications
- palico-ai
- Build, Improve Performance, and Productionize your AI Application
Stars
- future-agi
- 2.0k
- palico-ai
- 343
Forks
- future-agi
- 627
- palico-ai
- 31
Open issues
- future-agi
- 961
- palico-ai
- 6
Language
- future-agi
- Python
- palico-ai
- TypeScript
Adopt for
- future-agi
- Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,
- palico-ai
- palico-ai builds, improves performance of, and deploys AI applications using TypeScript. It encompasses technologies from framework development to evaluation.
Persona
- future-agi
- -
- palico-ai
- -
Runtime
- future-agi
- -
- palico-ai
- -
License
- future-agi
- Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms.
- palico-ai
- MIT License allows wide reuse within any project but requires copyright and license notice preservation in source distributions.
Last pushed
- future-agi
- Sep 18, 2026
- palico-ai
- Nov 26, 2024
Categories
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
- palico-ai
- AI Agents, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- future-agi
- Very active (96%)
- palico-ai
- Dormant (18%)
Days since push
- future-agi
- 0d
- palico-ai
- 662d
Open issues (now)
- future-agi
- 961
- palico-ai
- 6
Stars delta
- future-agi
- +473 (30d)
- palico-ai
- 0 (30d)
Open issues delta
- future-agi
- +365 (30d)
- palico-ai
- -1 (30d)
Full report
- future-agi
- Trust report
- palico-ai
- Trust report
Choose future-agi if…
- future-agi is primarily Python; palico-ai is TypeScript.
- License: future-agi is Apache-2.0, palico-ai is MIT.
- Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing..
- Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment..
- Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization.
- future-agi ships Docker support for self-hosted deployment.
- You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
When NOT to use future-agi
- You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development.
- You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future.
- Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.
Choose palico-ai if…
- palico-ai is primarily TypeScript; future-agi is Python.
- License: palico-ai is MIT, future-agi is Apache-2.0.
- Requirements: Requires Docker; Requires Docker for certain functionalities; Primarily uses TypeScript, proficiency with this language is beneficial.
- Tags unique to palico-ai: ai, anthropic, autogen, docker.
- Also covers Inference & Serving, Model Training.
- When your project requires comprehensive tools for building, optimizing, and deploying AI apps specifically in a TypeScript environment
When NOT to use palico-ai
- If your primary programming language is not TypeScript or Node.js, as palico-ai heavily relies on these technologies
- When seeking a solution that requires less integration effort with existing frameworks outside of the listed supported areas such as anthropic, autogen, and portkey
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (future-agi/future-agi) · observed Sep 20, 2026
- GitHub forks (future-agi/future-agi) · observed Sep 20, 2026
- Last push (future-agi/future-agi) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (palico-ai/palico-ai) · observed Sep 20, 2026
- GitHub forks (palico-ai/palico-ai) · observed Sep 20, 2026
- Last push (palico-ai/palico-ai) · observed Nov 26, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: future-agi 2.0k · palico-ai 343 (synced Sep 20, 2026).
Common questions
- What is the difference between future-agi and palico-ai?
- future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. palico-ai: Build, Improve Performance, and Productionize your AI Application. See the comparison table for live GitHub stats and shared categories.
- When should I choose future-agi over palico-ai?
- Choose future-agi over palico-ai when future-agi is primarily Python; palico-ai is TypeScript; License: future-agi is Apache-2.0, palico-ai is MIT; Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.; Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.; Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization; future-agi ships Docker support for self-hosted deployment; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
- When should I choose palico-ai over future-agi?
- Choose palico-ai over future-agi when palico-ai is primarily TypeScript; future-agi is Python; License: palico-ai is MIT, future-agi is Apache-2.0; Requirements: Requires Docker; Requires Docker for certain functionalities; Primarily uses TypeScript, proficiency with this language is beneficial; Tags unique to palico-ai: ai, anthropic, autogen, docker; Also covers Inference & Serving, Model Training; When your project requires comprehensive tools for building, optimizing, and deploying AI apps specifically in a TypeScript environment.
- When should I avoid future-agi?
- You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development. You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future. Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.
- When should I avoid palico-ai?
- If your primary programming language is not TypeScript or Node.js, as palico-ai heavily relies on these technologies When seeking a solution that requires less integration effort with existing frameworks outside of the listed supported areas such as anthropic, autogen, and portkey
- Is future-agi or palico-ai more popular on GitHub?
- future-agi has more GitHub stars (2,032 vs 343). Stars measure visibility, not whether either tool fits your constraints.
- Are future-agi and palico-ai open source?
- Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, palico-ai: MIT).
- Where can I find alternatives to future-agi or palico-ai?
- GraphCanon lists graph-backed alternatives at future-agi alternatives and palico-ai alternatives (future-agi markdown twin, palico-ai 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, future-agi or palico-ai?
- future-agi: Very active. palico-ai: Dormant. 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 future-agi and palico-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; palico-ai trust report.