ai-agents-mental-models — tool profile and history

Twelve deep-dive notes on how AI agents actually work: the loop, tool use, MCP, context management, evals. Mental models over feature lists, every technical fact cross-checked against the official docs. Bilingual FR/EN.

Active

Canonical source ↗

License
MIT
Created
Last activity
Topics
  • ai-agents
  • ai-agents-and-tools
  • ai-agents-framework
  • anthropic
  • anthropic-ai
  • anthropic-api
  • anthropic-certification
  • anthropic-claude
  • anthropic-mcp
  • anthropic-sdk
  • aws-agentcore
  • claude
  • claude-ai
  • claude-certification
  • claude-certified-associate
  • claude-code
  • claude-code-skill
  • prompt-engineering-course
  • strands
  • strands-agents

Current measurement

7GitHub stars+2 (+40.0 %)
measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
DateValueMetric
7GitHub stars
7GitHub stars
7GitHub stars
6GitHub stars
6GitHub stars
6GitHub stars
5GitHub stars
5GitHub stars
5GitHub stars
5GitHub stars
5GitHub stars
5GitHub stars
5GitHub stars
5GitHub stars
5GitHub stars
5GitHub stars
4GitHub stars
4GitHub stars
3GitHub stars
3GitHub stars
3GitHub stars

Classifications

Domains
Type
Agents
Use cases