evalstate/fast-agent
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support observed · 2026-08-28
Health v2 · maintenance only
83/100
- Activity 99
- Release rhythm 87
- Longevity 42
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: 3.5
- age_days: 592
- days_rel: 10
- days_push: 7
- n_releases_24m: 105
Adoption not part of the score
3902 stars · 437 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
fast-agent is a Python CLI-first framework for building, running, and evaluating LLM agents with first-class MCP, ACP, and A2A protocol support. It provides an interactive terminal UI with shell integration, skills/plugins, workflow orchestration, and broad provider support including local llama.cpp models.
Use cases
- build and evaluate llm agents from the terminal
- coding agent with shell and subagent support
- connect and test mcp servers with sampling and elicitation
- expose an agent as an a2a or acp endpoint
- run local llama.cpp models with an agent harness
- evaluate model accuracy and cost across providers
- manage agent skills and plugins
When to choose
- you want a terminal-native, scriptable agent harness with strong MCP support
- you need ACP/A2A client and server interoperability
- you want broad provider coverage including local models and Codex subscriptions
- you need agent evaluation and workflow tooling in Python
When to avoid
- you need a hosted GUI or web-based agent builder
- you only want a simple chatbot SDK without protocol integrations
- you require a non-Python runtime
Facets
framework · maturity active
agent-framework llm-inference cli mcp chatbot developer-tools terminal-ui plugin-system large-language-models developer-tools python cli cross-platform windows mcp-client mcp-server acp a2a agent-skills coding-agent tui llm-evaluation card-packs ai-agents command-line automation macos linux
8 sources
- readme: https://github.com/evalstate/fast-agent · fetched 2026-08-28 · 9803cc22977e
- homepage: https://fast-agent.ai · fetched 2026-08-29 · 911a5312b404
- site_page: https://fast-agent.ai/a2a/getting-started · fetched 2026-08-29 · c5620a961924
- site_page: https://fast-agent.ai/ref/generated_docs · fetched 2026-08-29 · d4a0fc25e8e7
- site_page: https://fast-agent.ai/ref/docs_automation · fetched 2026-08-29 · 56b5b63730ed
- site_page: https://fast-agent.ai/ref/about · fetched 2026-08-29 · 5b81ce0c5763
- site_page: https://fast-agent.ai/models · fetched 2026-08-29 · 1dfc7b563c36
- site_page: https://fast-agent.ai/agents/plugins · fetched 2026-08-29 · a9065d7654fd
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| evalstate/fast-agent | main | 83 |
For agents
markdown · JSON · MCP: product_card(name="evalstate/fast-agent")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem