awslabs/agentcore-samples resource
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment. observed · 2026-08-28
Health v2 · maintenance only
63/100
- Activity 99
- Release rhythm 35
- Longevity 30
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 426
- days_rel: n/a
- days_push: 7
- n_releases_24m: 0
Adoption not part of the score
3316 stars · 1303 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of examples and tutorials for Amazon Bedrock AgentCore, AWS's platform for deploying and operating AI agents securely at scale. It demonstrates framework-agnostic, model-agnostic agent deployment covering runtime, gateway, identity, and memory capabilities.
Use cases
- deploy ai agents to production on aws
- learn amazon bedrock agentcore with examples
- run langgraph or crewai agents on managed infrastructure
- add authentication and access control to agent tool calls
- scale ai agents without managing infrastructure
- migrate from agentcore starter toolkit to agentcore cli
When to choose
- You are building production AI agents on AWS with any framework (Strands, CrewAI, LangGraph, LlamaIndex) and want working sample code
- You need examples of AgentCore runtime, gateway, identity, and memory integrations
- You want to learn how to deploy agents without managing specialized infrastructure
When to avoid
- You want a runnable library or SDK itself rather than example code (use the AgentCore Python SDK or CLI instead)
- You are not deploying to AWS or do not want cloud-managed agent infrastructure
- You need fully self-hosted or vendor-neutral agent deployment
Facets
learning-resource · maturity active
agent-framework auth sdk developer-tools mcp large-language-models cloud-computing developer-tools tutorials python cloud aws-bedrock agentcore samples tutorials production-ai-agents framework-agnostic model-agnostic ai-agents docker
10 sources
- readme: https://github.com/awslabs/agentcore-samples · fetched 2026-08-28 · 36563df69f43
- homepage: https://aws.amazon.com/bedrock/agentcore/ · fetched 2026-08-29 · be40da634407
- site_page: https://aws.amazon.com/getting-started?nc2=h_dsc_aa_gs · fetched 2026-08-29 · f35fd0664950
- site_page: https://aws.amazon.com/about-aws/global-infrastructure?nc2=h_dsc_aa_gi · fetched 2026-08-29 · 79a446e5fbd1
- site_page: https://aws.amazon.com/products/developer-tools/agent-toolkit-for-aws?nc2=h_dsc_ex_s5 · fetched 2026-08-29 · 3cc21b596f92
- site_page: https://aws.amazon.com/pricing?nc2=h_pr_hub · fetched 2026-08-29 · e2abd01d7981
- site_page: https://aws.amazon.com/savingsplans?nc2=h_pr_sp · fetched 2026-08-29 · 9ff3c7ad93e0
- site_page: https://aws.amazon.com/s3/pricing?nc2=h_pr_s3 · fetched 2026-08-29 · 97bbf99c3793
- site_page: https://aws.amazon.com/bedrock/pricing?nc2=h_pr_br · fetched 2026-08-29 · 4ccc538a3696
- site_page: https://aws.amazon.com/rds/pricing?nc2=h_pr_rds · fetched 2026-08-29 · 538280f30c8a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| awslabs/agentcore-samples | main | 63 |
For agents
markdown · JSON · MCP: product_card(name="awslabs/agentcore-samples")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem