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Top 23 Python llm-agent Projects
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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.
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AppSignal
AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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Project mention: agentscope VS verified-memory-vault - a user suggested alternative | libhunt.com/r/agentscope | 2026-08-26
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letta
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
Sources verified this session: letta-ai/letta on GitHub, Mem0's pricing page, and Zep's pricing page.
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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 | 2026-01-02git clone https://github.com/HKUDS/DeepCode.git cd DeepCode pip install -r requirements.txt
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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.
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git submodule add https://github.com/The-Pocket/PocketFlow.git vendor/pocketflow
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SaaSHub
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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 -
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.
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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!
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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)
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Project mention: How AI Engineers Actually Use Datasets: Test Cases, Edge Cases | dev.to | 2026-04-06
AgentBench
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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.
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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.
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.
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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.
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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.
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FlashLearn
Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.
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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
[2] agentpit-io/hunter-community, README และเอกสารใน repo (สืบค้น 12 ก.ย. 2026), https://github.com/agentpit-io/hunter-community
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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.
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Python llm-agent discussion
Python llm-agent related posts
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Building Multi-Agent AI Systems: Architectures, Communication & Coordination
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Single Agent vs Multi-Agent: A Decision Framework for Enterprise Teams
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Human-in-the-Loop Control for Multi-Agent Revenue Pipelines: CrewAI, MCP and Slack Handoffs
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One Model, Many Roles: Specializing LLM Inference Without Training More Models
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autogen VS CerebrumKit - a user suggested alternative
2 projects | 20 Sep 2026 -
Agent Memory Explained: Types, Tools & How to Add It
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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
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 |