Comparison
agent-learning-kit vs mcp-agent
Verdict
Pick agent-learning-kit if agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language; pick mcp-agent if allows creation of efficient AI agents via Model Context Protocol with workflow patterns.
Markdown twin · agent-learning-kit alternatives · mcp-agent alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | agent-learning-kit | mcp-agent |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (237d 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
- agent-learning-kit
- General Purpose Evaluation and Simulation Environment for all your AI related Workflows
- mcp-agent
- Build effective AI agents with Model Context Protocol.
Stars
- agent-learning-kit
- 119
- mcp-agent
- 8.5k
Forks
- agent-learning-kit
- 44
- mcp-agent
- 891
Open issues
- agent-learning-kit
- 19
- mcp-agent
- 138
Language
- agent-learning-kit
- Python
- mcp-agent
- Python
Adopt for
- agent-learning-kit
- agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language
- mcp-agent
- Allows creation of efficient AI agents via Model Context Protocol with workflow patterns
Persona
- agent-learning-kit
- -
- mcp-agent
- -
Runtime
- agent-learning-kit
- -
- mcp-agent
- -
License
- agent-learning-kit
- Other
- mcp-agent
- Apache-2.0
Last pushed
- agent-learning-kit
- Sep 18, 2026
- mcp-agent
- Jan 25, 2026
Categories
- agent-learning-kit
- AI Agents, Evaluation & Observability
- mcp-agent
- AI Agents
Trust and health
Maintenance
- agent-learning-kit
- Very active (96%)
- mcp-agent
- Slowing (36%)
Days since push
- agent-learning-kit
- 0d
- mcp-agent
- 237d
Open issues (now)
- agent-learning-kit
- 19
- mcp-agent
- 138
Stars delta
- agent-learning-kit
- +1 (30d)
- mcp-agent
- +71 (30d)
Open issues delta
- agent-learning-kit
- +13 (30d)
- mcp-agent
- -2 (30d)
Full report
- agent-learning-kit
- Trust report
- mcp-agent
- Trust report
Shared compatibility
- Python · agent-learning-kit: Python runtime · mcp-agent: Python runtime
Choose agent-learning-kit if…
- License: agent-learning-kit is Other, mcp-agent is Apache-2.0.
- Tags unique to agent-learning-kit: agentic-ai, cicd, evaluation, ml.
- Also covers Evaluation & Observability.
- When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents
When NOT to use agent-learning-kit
- If your project strictly requires a different programming language other than Python or TypeScript
- When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras
Choose mcp-agent if…
- License: mcp-agent is Apache-2.0, agent-learning-kit is Other.
- Tags unique to mcp-agent: agents, llm, mcp, model-context-protocol.
- Need to implement the Model Context Protocol specifically in your agent development
When NOT to use mcp-agent
- Require a more customizable approach beyond pre-defined protocol and workflows
- Project demands specific AI frameworks unsupported by Model Context Protocol directly
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 Sep 20, 2026
- GitHub forks (future-agi/agent-learning-kit) · observed Sep 20, 2026
- Last push (future-agi/agent-learning-kit) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (lastmile-ai/mcp-agent) · observed Sep 20, 2026
- GitHub forks (lastmile-ai/mcp-agent) · observed Sep 20, 2026
- Last push (lastmile-ai/mcp-agent) · observed Jan 25, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-learning-kit 119 · mcp-agent 8.5k (synced Sep 20, 2026).
Common questions
- What is the difference between agent-learning-kit and mcp-agent?
- agent-learning-kit: General Purpose Evaluation and Simulation Environment for all your AI related Workflows. mcp-agent: Build effective AI agents with Model Context Protocol.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-learning-kit over mcp-agent?
- Choose agent-learning-kit over mcp-agent when License: agent-learning-kit is Other, mcp-agent is Apache-2.0; Tags unique to agent-learning-kit: agentic-ai, cicd, evaluation, ml; Also covers Evaluation & Observability; When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents.
- When should I choose mcp-agent over agent-learning-kit?
- Choose mcp-agent over agent-learning-kit when License: mcp-agent is Apache-2.0, agent-learning-kit is Other; Tags unique to mcp-agent: agents, llm, mcp, model-context-protocol; Need to implement the Model Context Protocol specifically in your agent development.
- When should I avoid agent-learning-kit?
- If your project strictly requires a different programming language other than Python or TypeScript When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras
- When should I avoid mcp-agent?
- Require a more customizable approach beyond pre-defined protocol and workflows Project demands specific AI frameworks unsupported by Model Context Protocol directly
- Is agent-learning-kit or mcp-agent more popular on GitHub?
- mcp-agent has more GitHub stars (8,549 vs 119). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-learning-kit and mcp-agent open source?
- Yes - both are open-source projects on GitHub (agent-learning-kit: Other, mcp-agent: Apache-2.0).
- Where can I find alternatives to agent-learning-kit or mcp-agent?
- GraphCanon lists graph-backed alternatives at agent-learning-kit alternatives and mcp-agent alternatives (agent-learning-kit markdown twin, mcp-agent 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 mcp-agent?
- agent-learning-kit: Very active. mcp-agent: 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-learning-kit and mcp-agent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-learning-kit trust report; mcp-agent trust report.