Web Action AI Agent that doesn’t just scrape but finds the data you need.
Firecrawl launched FIRE-1, an AI agent that navigates complex websites, interacts with buttons, fills forms, and gathers data beyond traditional scraping.
No manual steps required.
FIRE-1 AI Agent is available to use on Firecrawl starting today.
Let's build & deploy production grade Gemini AI Agents in 3 simple steps using Google Cloud Vertex AI Engine.
Works with LangChain, LlamaIndex, and other Agent frameworks. 1. Install Vertex AI SDK for Python
Install the latest version of the Vertex AI SDK for Python as well as extra dependencies related to Agent Engine and LangChain:
Apr 4 • 12 tweets • 5 min read
Huge AI agent updates from Anthropic, PayPal, Windsurf, Cognition AI, and more.
Multiple agents working in parallel was the highlight.
1. Devin 2.0 is here with a new agent-native IDE experience. It lets you run parallel Devins to take on multiple tasks at once. Starts at $20.
2. Genspark is a general-purpose superagent that can think, plan, act, and use tools to handle all your everyday tasks. Rather than using a computer in a sandboxed VM, it uses its in-house system to directly call APIs whenever needed.
Outperforms Manus AI and OpenAI Operator.
Mar 29 • 8 tweets • 3 min read
Multi-agent team need long-term memory to maintain context and learn continuously.
5 frameworks for AI agent memory.
100% opensource.
1. Mem0 is an intelligent memory layer for AI agents, enabling them to actively learn from and adapt to user interactions over time.
It combines LLMs with vector storage:
- LLMs process key information from conversations
- Vector storage performs semantic search
Mar 28 • 13 tweets • 5 min read
10 awesome MCP servers to supercharge your workflows on Claude, Cursor, Cline, and Windsurf.
100% opensource.
1. Firecrawl MCP server lets clients scrape, crawl, search, extract, and deep research websites. It can also convert websites into LLM-ready text right in your editor.
Mar 20 • 5 tweets • 2 min read
OpenAI just released Voice AI Agents with GPT-4o Audio model.
You can now build amazing voice AI Agents using OpenAI Agents SDK in a few lines of Python code.
Quickstart code to build Voice AI Agents with function calling in Python.
Mar 20 • 7 tweets • 4 min read
5 AI agent frameworks to build multi-agent applications.
100% opensource.
They aren't LangChain, Crew AI, or OpenAI Agents SDK.
1. Motia is an AI agent framework is built for Software Engineers. Build agents in Python, TypeScript, JavaScript or Ruby.
github.com/MotiaDev/motia2. Agno is a lightweight Python library for building Multimodal Agents with memory, knowledge, and tools.
• ~10,000x faster than LangGraph
• Build teams of specialized agents
• Make Agents respond with structured data
OpenAI just released Agents SDK for building multi-agent apps in Python.
It comes with 3 key features: 1. Handoffs: Allows an agent to delegate tasks to another agent 2. Guardrails: Safety checks for input & output validation 3. Tracing: Built-in visual tracking of agent runs.
Handoffs allow an agent to delegate tasks to another agent.
It's particularly useful in scenarios where different agents specialize in distinct areas.
Mar 11 • 5 tweets • 3 min read
Opensource alternative to Manus AI Agent is blowing up on GitHub.
OWL is an Autonomous AI Agent framework that can research, browse and code with multi-agent collaboration.
Works with Claude Sonnet 3.7, DeepSeek, GPT-4o and even local LLMs with Ollama.
100% Opensource.
OWL ranks 1 on the GAIA Benchmark among open-source projects with a 58.18 avg score.
AI Agents, RAG, and LLMs just had their biggest week.
And the releases are mind-blowing.
Here's everything you need to know:
1. DeepSeek V3 Base model shows impressive performance
→ 671B parameter Mixture-of-Experts model
→ 37B parameters activated per token
→ Outperforms Claude 3.5 Sonnet, GPT-4, and Llama 3
2. OASIS launches social media simulator
→ Model up to 1 million AI agent interactions
→ Study behavior across Twitter and Reddit
→ Analyze information spread and group dynamics
3. Cheshire Cat AI is an opensource framework for production AI agents
→ Built with Docker at its core
→ Process documents and connect to external APIs
→ Supports both commercial and open-source LLMs
4. Humanloop releases comprehensive RAG evaluation suite
→ Automated evaluations through code or UI
→ Human feedback collection capabilities
→ Real-time performance monitoring
5. Hercules emerges as first opensource testing agent
→ Converts Gherkin steps to end-to-end tests
→ No coding skills required
→ Handles complex testing automation
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