Swe Af — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Swe Af. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: May 7, 2026 • Sentiment updated: Apr 5, 2026

GitHub Statistics

Community Sentiment

Community Buzz: Users discuss the efficiency of SWE-AF on GitHub, with one user saying 'A built-in knowledge base served directly from the platform' (GitHub). Another user mentions 'Replace replanner DAG mutations with PlanDB replan/pivot/insert' (GitHub)

Pros & Cons

What People Love

GitHub users praise the efficiency of SWE-AF, Dev.to users appreciate the knowledge base API for builder agents

Common Complaints

No significant complaints in recent discussions

Biggest Positive: Efficient coding

Biggest Negative: No significant

Why Swe Af Stands Out

SWE-AF is different from alternatives because it provides a coordinated engineering factory that adapts in real time. Its hardness-aware execution and control stack of planning, execution, and governance agents set it apart from other agent frameworks. The project's ability to scale from simple goals to hard multi-issue programs with hundreds to thousands of agent invocations is also a unique feature. Additionally, SWE-AF's benchmarking capabilities, such as the Rust-based Python compiler benchmark, demonstrate its potential for significant performance improvements.

Built With

Build a multi-repo autonomous engineering team — SWE-AF enables this by providing a single API call to spin up a full autonomous engineering team, Build a Rust-based Python compiler benchmark — SWE-AF's autonomous build spotlight feature allows for the creation of such benchmarks, Build a coordinated engineering factory — SWE-AF's control stack of planning, execution, and governance agents enables this, Build a feature spanning multiple microservices — SWE-AF's multi-repository mode allows for the orchestration of coordinated changes across multiple repos, Build a primary app with shared libraries or utilities library — SWE-AF's role-based repository configuration enables this

Getting Started

  1. Install SWE-AF by running the command `pip install swe-af`
  2. Configure the `repo_url` and `goal` parameters in the API call to suit your project needs
  3. Use the `curl` command to send a POST request to the SWE-AF API, such as `curl -X POST http://localhost:8080/api/v1/execute/async/swe-planner.build`
  4. Pass the required JSON data, including the `input` and `config` objects, to the API call
  5. Try running the `examples/llm-rust-python-compiler-sonnet/README.md` example to verify that SWE-AF works as expected

About

Autonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, and ship.

Official site: https://agentfield.ai/

Category & Tags

Category: multi-agent

Tags: agent-factory, agentfield, agentic-ai, ai-agents, ai-factory, autonomous-agents, claude-code, code-generation, codex, coding-agent, developer-tools, gemini-cli, llm, multi-agent, open-source, openrouter, python, software-engineering

Market Context

SWE-AF is positioned as a efficient coding platform, with users discussing its benefits on GitHub and Dev.to