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evalstate
fast-agent
Python2025–2025
evalstate / fast-agent

fast-agent

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

3Distinct people
4Mentions
1Explicit recommenders
4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

Fast Agent has this as a first-class citizen called "Evaluator Optimizer" pattern. Where it in a loop with a defined number of max refinements judge itself and give the output…

ChadMoran used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:45:45 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week4 dated mentions

Observed mentions: 2025-03-06 16:34:20 UTC to 2025-04-29 20:42:59 UTC. Weeks start Monday, UTC.

0122025-03-03 00:00:00 UTC to 2025-03-10 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMar 32025-03-10 00:00:00 UTC to 2025-03-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-17 00:00:00 UTC to 2025-03-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-24 00:00:00 UTC to 2025-03-31 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-03-31 00:00:00 UTC to 2025-04-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 312025-04-07 00:00:00 UTC to 2025-04-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-14 00:00:00 UTC to 2025-04-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-21 00:00:00 UTC to 2025-04-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-28 00:00:00 UTC to 2025-05-05 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsApr 28

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Mar 32025-03-03 00:00:00 UTC2025-03-10 00:00:00 UTC110
Mar 102025-03-10 00:00:00 UTC2025-03-17 00:00:00 UTC000
Mar 172025-03-17 00:00:00 UTC2025-03-24 00:00:00 UTC000
Mar 242025-03-24 00:00:00 UTC2025-03-31 00:00:00 UTC101
Mar 312025-03-31 00:00:00 UTC2025-04-07 00:00:00 UTC000
Apr 72025-04-07 00:00:00 UTC2025-04-14 00:00:00 UTC000
Apr 142025-04-14 00:00:00 UTC2025-04-21 00:00:00 UTC000
Apr 212025-04-21 00:00:00 UTC2025-04-28 00:00:00 UTC000
Apr 282025-04-28 00:00:00 UTC2025-05-05 00:00:00 UTC202

What Hacker News says

1 sources
You'd use a client which runs locally to coordinate between the LLM/agent and the available tools, similarly to how it's described here https://modelcontextprotocol.io/quickstart/client There are a variety of available clients documented here https://modelcontextprotocol.io/clients If you haven't tried any of these yet, the first place to start is Claude Desktop. If you'd like to write your own agents, consider https://github.com/evalstate/fast-agent EDIT: I may have misunderstood your question. If you're asking "how can I make an API call to OpenAI, and have OpenAI call an MCP server I'm running as part of generating its response to me", the answer is "you can't". You'll want a proxy API that you call which is actually an MCP client, responsible for coordinating between the MCP servers and the OpenAI API upstream agent.
In OpenAI adds MCP support to Agents SDK

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