Python llm-agent

Open-source Python projects categorized as llm-agent

Top 23 Python llm-agent Projects

  1. autogen

    A programming framework for agentic AI

    Project mention: AI Agent Frameworks Compared: LangGraph vs CrewAI vs AutoGen | dev.to | 2026-10-12

    Issue #12 ("force TERMINATE") dates to July 2023. On classic AutoGen, pair max_consecutive_auto_reply with a token ceiling at your gateway before you deploy anything. Note that the knob doesn't carry over to Agent Framework, which is one more reason to treat the migration as a rewrite. And a framework in maintenance mode isn't shipping fixes for any of it.

  2. AppSignal

    AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.

    AppSignal logo
  3. ChatTTS

    A generative speech model for daily dialogue.

  4. agentscope

    Build and run agents you can see, understand and trust.

    Project mention: agentscope VS verified-memory-vault - a user suggested alternative | libhunt.com/r/agentscope | 2026-08-26
  5. letta

    Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.

    Project mention: Agent Memory Explained: Types, Tools & How to Add It | dev.to | 2026-09-08

    Sources verified this session: letta-ai/letta on GitHub, Mem0's pricing page, and Zep's pricing page.

  6. DeepCode

    "DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"

    Project mention: 🎓 DeepCode: The Open Source Agent That Writes Code Better Than PhDs | dev.to | 2026-01-02

    git clone https://github.com/HKUDS/DeepCode.git cd DeepCode pip install -r requirements.txt

  7. PocketFlow-Tutorial-Codebase-Knowledge

    Pocket Flow: Codebase to Tutorial

    Project mention: Beyond Code Generation: LLMs for Code Understanding | dev.to | 2026-01-02

    My exploration of LLM-based tools for code understanding started with DeepWiki, which I have been using since its early release. As my interest shifted toward analyzing private repositories and experimenting more deeply with the underlying mechanics, I began looking for open-source alternatives. This led me to deepwiki-rs and later OpenDeepWiki. After starring OpenDeepWiki on GitHub, one of the authors of Davia reached out, which introduced me to a different, more collaborative approach to AI-assisted documentation. I later encountered PocketFlow Tutorial Codebase Knowledge through a technical report, and finally Google Code Wiki when it was publicly announced, which I followed closely given its enterprise positioning.

  8. PocketFlow

    Pocket Flow: 100-line LLM framework. Let Agents build Agents!

    Project mention: Porting from PocketFlow to Ambler TS | dev.to | 2026-05-19

    git submodule add https://github.com/The-Pocket/PocketFlow.git vendor/pocketflow

  9. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
  10. harness-sdk

    Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

    Project mention: I built an AI agent that scores any GitHub repo 0-100 before you clone it | dev.to | 2026-10-13
  11. AReaL

    The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

    Project mention: Text-to-LoRA & AReaL: AI Builder Breakthroughs | dev.to | 2026-01-25

    While mainstream AI chatter circles ever-larger models, two research drops last weeks point to something more tactical: faster, cheaper ways to customize and train what you already have. Sakana AI's Text-to-LoRA (T2L) slashes adapter creation to a single prompt, and AReaL framework squeezes 2-3× more throughput from your RLHF cluster. Let's unpack the wins and risks.

  12. gptme

    Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

  13. langroid

    Harness LLMs with Multi-Agent Programming

    Project mention: Agent Framework Is Just a Bad Clone of Elixir | news.ycombinator.com | 2026-02-19

    I ran into this question when thinking about the approach for a recent project. Yes CLI coding tools are good agents for interactive use, but if you are building a product then you do need an agent abstraction.

    You could package Claude Code into the product (via agents-sdk or Claude -p) and have it use the API key (with metered billing) but in my case I didn’t find it ergonomic enough for my needs, so I ended up using my own agent framework Langroid for this.

    https://github.com/langroid/langroid

    (No it’s not based on that similarly named other framework, it’s a clean, minimal, extensible framework with good dx)

  14. codeinterpreter-api

    👾 Open source implementation of the ChatGPT Code Interpreter

  15. AgentBench

    A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

    Project mention: How AI Engineers Actually Use Datasets: Test Cases, Edge Cases | dev.to | 2026-04-06

    AgentBench

  16. holmesgpt

    SRE Agent - CNCF Sandbox Project

    Project mention: What is an AI SRE? Definition, Capabilities, and 2026 Buyer's Lens | dev.to | 2026-05-21

    Infrastructure tool execution. The agent reads from kubectl, cloud SDKs, observability backends, and ticket systems. Some agents also write, with guardrails. HolmesGPT documents read-only access with RBAC respect. Aurora documents sandboxed execution into an isolated namespace. K8sGPT documents Kubernetes-only diagnostics with anonymisation before any AI backend call.

  17. invisible_playwright_mcp

    Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scraping, computer use.

    Project mention: invisible_playwright_mcp Pairs MCP With Stealth Firefox | dev.to | 2026-10-09

    Analysis: Pairing persistent browser state with an agent intended to appear less detectable shifts the central deployment question toward authorization and review. A profile can preserve cookies and logins, page data can leave the machine, and a host change can expose an unauthenticated interface. The unresolved trade-off is whether teams can gain useful browser access without granting overly broad access to stored sessions or sensitive page content. Those risks follow from the project’s documented persistence, data-flow and host settings.

  18. LLMCompiler

    [ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

    Project mention: One Model, Many Roles: Specializing LLM Inference Without Training More Models | dev.to | 2026-09-29

    LLMCompiler studies planned parallel function execution and reports latency improvements of up to 3.7× over ReAct in its evaluated tasks. That supports studying dependency-aware execution; it does not establish the same speedup for several inference roles sharing one backend.

  19. code-act

    Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.

  20. mirascope

    The LLM Anti-Framework

    Project mention: Show HN: Mirascope – The LLM Anti-Framework | news.ycombinator.com | 2026-01-26
  21. wcgw

    Shell and coding agent on mcp clients

  22. FlashLearn

    Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.

  23. hunter-community

    HunterCode · Community Edition · 腾讯 WorkBuddy 金融版的开源本地替代方案 · open-source, local alternative to Tencent WorkBuddy Finance Edition · 多智能体投研终端 A股/港股/美股 · 推理在你机器上跑 · 仓位不出你硬盘 · BYOK · Apache 2.0 · docker compose 自托管

    Project mention: AI วิเคราะห์หุ้นที่รันบนเครื่องคุณ, Hunter เปิดซอร์สแล้ว | dev.to | 2026-09-12

    [2] agentpit-io/hunter-community, README และเอกสารใน repo (สืบค้น 12 ก.ย. 2026), https://github.com/agentpit-io/hunter-community

  24. edsl

    Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.

  25. LLM-VM

    irresponsible innovation. Try now at https://chat.dev/

  26. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python llm-agent discussion

Log in or Post with

Python llm-agent related posts

  • Building Multi-Agent AI Systems: Architectures, Communication & Coordination

    1 project | dev.to | 12 Oct 2026
  • Single Agent vs Multi-Agent: A Decision Framework for Enterprise Teams

    1 project | dev.to | 11 Oct 2026
  • Human-in-the-Loop Control for Multi-Agent Revenue Pipelines: CrewAI, MCP and Slack Handoffs

    1 project | dev.to | 8 Oct 2026
  • One Model, Many Roles: Specializing LLM Inference Without Training More Models

    1 project | dev.to | 29 Sep 2026
  • autogen VS CerebrumKit - a user suggested alternative

    2 projects | 20 Sep 2026
  • Agent Memory Explained: Types, Tools & How to Add It

    1 project | dev.to | 8 Sep 2026
  • autogen VS verified-memory-vault - a user suggested alternative

    2 projects | 25 Aug 2026
  • A note from our sponsor - SaaSHub
    www.saashub.com | 15 Oct 2026
    SaaSHub helps you find the best software and product alternatives Learn more →

Index

What are some of the best open-source llm-agent projects in Python? This list will help you:

# Project Stars
1 autogen 61,329
2 ChatTTS 39,893
3 agentscope 33,014
4 letta 25,072
5 DeepCode 16,696
6 PocketFlow-Tutorial-Codebase-Knowledge 12,699
7 PocketFlow 11,228
8 harness-sdk 8,749
9 AReaL 5,823
10 gptme 4,444
11 langroid 4,113
12 codeinterpreter-api 3,847
13 AgentBench 3,764
14 holmesgpt 3,566
15 invisible_playwright_mcp 2,698
16 LLMCompiler 1,891
17 code-act 1,698
18 mirascope 1,530
19 wcgw 678
20 FlashLearn 607
21 hunter-community 574
22 edsl 503
23 LLM-VM 489

Sponsored
AppSignal knows why the f*#k it crashed.
Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
www.appsignal.com