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Top 23 Python openclaw Projects
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graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Project mention: How much do coding agents spend rediscovering a codebase? | news.ycombinator.com | 2026-10-05i'd guess 25% of their time
https://github.com/Graphify-Labs/graphify is supposed to help with that, but I haven't tried it yet
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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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CowAgent
Open-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Project mention: Five PRs, two merges, and four real bugs in agent infrastructure | dev.to | 2026-09-28In CowAgent, TokenBucket started its refill thread with no daemon=True. close() existed but was called from exactly one place: the __main__ demo at the bottom of the same file. Both production call sites build a bucket and never close it.
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OpenViking
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Project mention: OpenViking’s Filesystem View of Agent Context Is a Welcome Escape from RAG Glue Code | dev.to | 2026-09-05git clone https://github.com/volcengine/OpenViking.git cd OpenViking pip install -e . python -m openviking.server --config config.yaml
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Memori
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
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AutoResearchClaw
Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
Project mention: AutoResearchClaw Tries to Turn One Research Idea Into a Draft Paper | dev.to | 2026-04-26git clone https://github.com/aiming-lab/AutoResearchClaw.git
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Project mention: MemU – Personal Memory Shared by Codex, Claude Code, and Hermes | news.ycombinator.com | 2026-07-27
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drawio-skill
Agent skill that turns natural language, code, Terraform/K8s, SQL, OpenAPI, AsyncAPI, Protobuf and GraphQL sources into editable, tested draw.io architecture diagrams: incremental sync, multi-view projection, drift diff, CI architecture tests, whiteboard derasterize, interactive HTML/PPTX/Mermaid exports.
Project mention: Ask HN: I still don't understand why AI agents need "skills" | news.ycombinator.com | 2026-08-04The goal is more or less the same, to give the agent the ability to do things it doesn’t know by default. The difference when explaining this new thing to the agent using a skill is that it will only learn how to do it when it needs to, not all the time in all conversations (as the AGENTS.md file is read at the start of every new conversation). Furthermore, giving a model a new capability might require more than just a couple of Markdown files, and that’s where skills come in since they’re only read when needed, rather than at the start of every conversation, so they don’t waste tokens unnecessarily on something that could be very resource-intensive. Plus, decoupling them from an AGENTS.md file makes them easier to deploy.
An example of a skill I use a lot is draw-io skill (https://github.com/Agents365-ai/drawio-skill), it enables the agent to generate Draw.io diagrams. As you can see, there are a lot of Markdown files, but also Python scripts that the model must run to gather what it needs. If this was defined in an AGENTS.md file for a single project it wouldn’t be so bad, but if you have to maintain five skills of this size in your agent (or simply want to share them), you can’t include them in the AGENTS.md file, because they’ll consume all the context, even in a conversation where the agent won’t use any of them. It's like writing reusable and callable functions instead of writing all code in the main() method.
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PraisonAI
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
Project mention: SecurityPolicy restrictions unenforced by default sandbox back end in PraisonAI | news.ycombinator.com | 2026-08-03 -
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ODS
ODS V3 Pre-Release: Public testing and refinement ahead of the official V3 launch. Turn your PC, Mac, or Linux box into a private AI server.
Project mention: Show HN: Dream Server – Turn your PC, Mac, or Linux box into a private AI server | news.ycombinator.com | 2026-06-14 -
skills
Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session operation, isolated multi-account browsing. (by browser-act)
Project mention: How BrowserAct Fixed the Stale-Selector Failures Breaking My Browser Tasks | dev.to | 2026-07-31Skill source: browser-act/skills. Installation details: docs/installation.md.
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Raven
The Harness of Harnesses • built for RSI: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration. (by EverMind-AI)
Project mention: Show HN: Raven – An open-source harness for coordinating AI agents | news.ycombinator.com | 2026-09-29 -
buildwithclaude
A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw
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Project mention: A free model matched GPT-5.2. No fine-tuning. It rewrote its own skill files until it got there | dev.to | 2026-04-01
The paper is MetaClaw (arXiv:2603.17187). It is one of five papers published between March 15 and March 20 that all arrived at the same idea: let agents evolve their own skills.
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memsearch
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
MemSearch
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openclaw-master-skills
🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai
Project mention: I Scanned 2,000 OpenClaw Skills for Malicious Patterns — 14.5% Failed | dev.to | 2026-04-03Curated collection (LeoYeAI/openclaw-master-skills): 559 skills, filtered for quality
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claw-compactor
14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.
git clone https://github.com/open-compress/claw-compactor.git cd claw-compactor python3 scripts/mem_compress.py /your/workspace benchmark
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Project mention: Top 10 OpenClaw Development Patterns and Architecture Best Practices | dev.to | 2026-02-18
Repository: https://github.com/openakita/openakita Architecture Pattern: Plugin-Based Agent System
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NagaAgent
A simple yet powerful agent framework for personal assistants, designed to enable intelligent interaction, multi-agent collaboration, and seamless tool integration.
Project mention: Top 10 OpenClaw Development Patterns and Architecture Best Practices | dev.to | 2026-02-18Repository: https://github.com/RTGS2017/NagaAgent Architecture Pattern: Orchestrated Multi-Agent System
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graphify
AI coding assistant skill (Claude Code, Codex, OpenCode, OpenClaw). Turn any folder of code, docs, papers, or images into a queryable knowledge graph (by safishamsi)
Graphify, which turns a codebase into a graph agents can query, used to make cheaper Codex models more accurate on our code.
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bernstein
The open‑source AI Agents Governance & Orchestration framework: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run
Project mention: Show HN: Bernstein – run 44 CLI coding agents from one deterministic scheduler | news.ycombinator.com | 2026-08-14 -
Repo: https://github.com/tophant-ai/ClawVault
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Project mention: Five PRs, two merges, and four real bugs in agent infrastructure | dev.to | 2026-09-28
In Celesto, the SDK session bridge authenticated requests with a constant-time comparison:
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Python openclaw discussion
Python openclaw related posts
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How much do coding agents spend rediscovering a codebase?
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Five PRs, two merges, and four real bugs in agent infrastructure
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Launch HN: OneCLI (YC S26) – OSS sandboxed agent harness for teams
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Configurar Graphify para usarlo con Claude cli
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BoTTube: A Developer's Guide to the First Video Platform Built for AI Agents
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We Invented a Layered Wiki Pattern on Top of Graphify — Here's the Concept and How to Approximate It Today
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Graphify – Less token use for Claude Code
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A note from our sponsor - SaaSHub
www.saashub.com | 9 Oct 2026
Index
What are some of the best open-source openclaw projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | graphify | 123,850 |
| 2 | CowAgent | 47,298 |
| 3 | OpenViking | 39,518 |
| 4 | Memori | 17,068 |
| 5 | AutoResearchClaw | 14,595 |
| 6 | memU | 14,494 |
| 7 | drawio-skill | 9,950 |
| 8 | PraisonAI | 9,198 |
| 9 | Upsonic | 7,956 |
| 10 | ODS | 6,989 |
| 11 | skills | 6,110 |
| 12 | Raven | 5,227 |
| 13 | buildwithclaude | 3,608 |
| 14 | MetaClaw | 3,455 |
| 15 | memsearch | 2,729 |
| 16 | openclaw-master-skills | 2,157 |
| 17 | claw-compactor | 2,007 |
| 18 | openakita | 1,998 |
| 19 | NagaAgent | 1,542 |
| 20 | graphify | 1,469 |
| 21 | bernstein | 1,354 |
| 22 | ClawVault | 1,076 |
| 23 | celesto | 1,019 |