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agentling · The agent framework you can read in one sitting
A tiny async framework for reliable, observable, tool-using agents.
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86 % |
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Krelvan — own your agents
Describe an outcome. Get an agent you own.
|
85 % |
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AI Agent Platform: Build AI Agents Visually | AgentRow
Build AI agents and multi-agent systems on one agent platform: design agentic AI workflows visually, add tools, knowledge and memory, and trace every run.
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85 % |
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VibesFactory — Production AI Agent Platform
VibesFactory is an AI agent platform and self-hostable infrastructure for building, running, and inspecting production agents.
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85 % |
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Idea to Agent: Build the Right AI Agent | Idea2Agent
Turn an idea into an agent only after the Decision Gate says the job needs one: prompt, workflow, or a scoped loop.
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84 % |
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KAHN — prompt-DAG orchestration for ClaudeCode fleets
Mechanical convergence via shell exit codes. Not agent self-reports. Not vibes. A scanner produces a prompt-DAG; the scheduler walks it in topological order...
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84 % |
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AI Agent Platform, No-Code Builder & API | Ainvented
Build AI agents visually, use files directly or as reusable knowledge, observe every run, and scale across projects or clients with built-in controls.
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84 % |
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agents.cli
A publication on context engineering, closing the gap between AI coding agents and the context they don't have.
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84 % |
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Spruce — Ship software without losing context
A native desktop app for planning, code, and review. Each feature, bug, and task lives in your repo as plain markdown. Parallelize your work. Use any CLI agent.
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84 % |
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harness-fe — eyes, hands & a source map for your AI agent
Give your AI agent eyes, hands & your source map — see console, network & DOM, drive the page, and trace every element to its exact file:line. MCP-native, de...
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84 % |
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AML — Build AI Agents with TypeScript and JSX
AML is a TypeScript framework for building AI agents. Write reusable JSX components to connect agents, give them tools, and pass their results to the next step.
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84 % |
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AI Agent Observability — Compare the Tools, Then Choose
A buyer's guide to AI agent observability: the five signals to trace, Langfuse vs LangSmith vs Helicone vs Phoenix, and SaaS vs self-hosted.
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84 % |
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Appstrate, the open‑source agent runtime platform · Appstrate
Agentic runtimes that are sovereign, sandboxed, and multi-tenant.
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83 % |
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devrandom • Accountable AI Agents
Open-source infrastructure for AI agents you actually control: every agent gets an ID you issue, every action leaves a tamper-proof record, and you can cut i...
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83 % |
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Shrike | Action Governance for AI Agents
Ship AI agents that act — safely. Your policy enforced on every tool call, command, SQL query, and A2A message before it runs. 9-layer engine. Free tier.
|
83 % |
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FlockRun — The Runtime for AI Agent Teams | TypeScript
The runtime for AI agent teams. Deploy agents that wake on schedule, message each other, share knowledge, and coordinate autonomously. Built in TypeScript. P...
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83 % |
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Agentify — Agentify your OpenAPI specs in just a few clicks
Turn any OpenAPI spec into a working AI agent. Visual flow builder, classifiers, model routing, and a playground to test it all — hosted in the EU, or self-h...
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83 % |
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Netra — Make your AI agents reliable
The platform to evaluate, trace, and monitor every decision your agents make. Observability, evaluation, simulation and red teaming for production AI agents.
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83 % |
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AGNT5 — The reliability platform for AI agents and workflows
AGNT5 runs your agents in production, records every step, and lets you test fixes against real failures, so you can ship the next version with confidence.
|
83 % |
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Edictum — Runtime Governance for AI Agents
Open-source runtime governance for AI agents. Check actions before tools execute: allow, block, ask for approval, and record every decision.
|
83 % |
Detected social media networks