Comparison
agent-learning-kit vs futureagi-sdk
Verdict
Pick agent-learning-kit if agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB; pick futureagi-sdk if future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
Markdown twin · agent-learning-kit alternatives · futureagi-sdk alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | agent-learning-kit | futureagi-sdk |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Active (25d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- agent-learning-kit
- Evaluation Framework for all your AI related Workflows
- futureagi-sdk
- Production-grade AI evaluation, prompt management & observability SDK
Stars
- agent-learning-kit
- 118
- futureagi-sdk
- 48
Forks
- agent-learning-kit
- 43
- futureagi-sdk
- 5
Open issues
- agent-learning-kit
- 6
- futureagi-sdk
- 3
Language
- agent-learning-kit
- Python
- futureagi-sdk
- Python
Adopt for
- agent-learning-kit
- Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.
- futureagi-sdk
- Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
Persona
- agent-learning-kit
- -
- futureagi-sdk
- -
Runtime
- agent-learning-kit
- -
- futureagi-sdk
- -
License
- agent-learning-kit
- Apache-2.0
- futureagi-sdk
- The Future AGI SDK uses the Apache License, Version 2.0 (Apache-2.0). It allows users to freely use, modify, and distribute the software while maintaining copyright notices.
Last pushed
- agent-learning-kit
- Aug 1, 2026
- futureagi-sdk
- Jul 8, 2026
Categories
- agent-learning-kit
- Evaluation & Observability
- futureagi-sdk
- Evaluation & Observability
Trust and health
Maintenance
- agent-learning-kit
- Very active (96%)
- futureagi-sdk
- Active (82%)
Days since push
- agent-learning-kit
- 0d
- futureagi-sdk
- 25d
Open issues (now)
- agent-learning-kit
- 6
- futureagi-sdk
- 3
Full report
- agent-learning-kit
- Trust report
- futureagi-sdk
- Trust report
Choose agent-learning-kit if…
- Tags unique to agent-learning-kit: ci-cd, ml.
- When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.
- More GitHub stars (118 vs 48) - visibility, not fit.
When NOT to use agent-learning-kit
- If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit.
- When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
Choose futureagi-sdk if…
- Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails.
- Tags unique to futureagi-sdk: annotations, dataset, development, knowledge-base.
- Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
When NOT to use futureagi-sdk
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
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-learning-kit) · observed Aug 1, 2026
- GitHub forks (future-agi/agent-learning-kit) · observed Aug 1, 2026
- Last push (future-agi/agent-learning-kit) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/futureagi-sdk) · observed Aug 2, 2026
- GitHub forks (future-agi/futureagi-sdk) · observed Aug 2, 2026
- Last push (future-agi/futureagi-sdk) · observed Jul 8, 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: agent-learning-kit 118 · futureagi-sdk 48 (synced Aug 1, 2026).
Common questions
- What is the difference between agent-learning-kit and futureagi-sdk?
- agent-learning-kit: Evaluation Framework for all your AI related Workflows. futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-learning-kit over futureagi-sdk?
- Choose agent-learning-kit over futureagi-sdk when Tags unique to agent-learning-kit: ci-cd, ml; When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed; More GitHub stars (118 vs 48) - visibility, not fit.
- When should I choose futureagi-sdk over agent-learning-kit?
- Choose futureagi-sdk over agent-learning-kit when Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails; Tags unique to futureagi-sdk: annotations, dataset, development, knowledge-base; Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
- When should I avoid agent-learning-kit?
- If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
- When should I avoid futureagi-sdk?
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is agent-learning-kit or futureagi-sdk more popular on GitHub?
- agent-learning-kit has more GitHub stars (118 vs 48). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-learning-kit and futureagi-sdk open source?
- Yes - both are open-source projects on GitHub (agent-learning-kit: Apache-2.0, futureagi-sdk: Apache-2.0).
- Where can I find alternatives to agent-learning-kit or futureagi-sdk?
- GraphCanon lists graph-backed alternatives at agent-learning-kit alternatives and futureagi-sdk alternatives (agent-learning-kit markdown twin, futureagi-sdk 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-learning-kit or futureagi-sdk?
- agent-learning-kit: Very active. futureagi-sdk: 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 agent-learning-kit and futureagi-sdk?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-learning-kit trust report; futureagi-sdk trust report.