
Your AI Coworker Is Already in Slack
Believe it or not, you can now invoke a AI teammate inside your Slack channel to delegate tasks, pull information, or draft responses while you stay focused on the work that matters....
PeekAI is a local-first observability and debugging library for Python AI agents. Developers add one initialization call and get visibility into LLM calls, tool use, traces, and token spend without sending data to a cloud dashboard or creating another vendor account. The workflow is aimed at solo builders, internal-agent teams, and privacy-sensitive prototypes where LangSmith-style observability is useful but external telemetry is not acceptable. The project stores traces locally, uses SQLite, ships on PyPI, and is explicitly positioned for lightweight agent debugging. PeekAI is notable now because it launched on Show HN as a small, focused alternative to hosted tracing tools, with an official GitHub repo and package page verifying that it is installable today.
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Ollama is a local AI platform for running, managing, and sharing open models on your own machine or private infrastructure. It makes it easy to pull models, serve them through an API, and integrate local inference into developer workflows without relying on a fully managed cloud stack. Teams use Ollama for privacy-sensitive assistants, internal tools, offline experimentation, and rapid testing of open-weight models across laptops, workstations, and servers. It is especially useful for developers, operators, and AI builders who want quick setup with less operational overhead. What makes Ollama distinctive is how approachable it is: it packages model runtime, distribution, and deployment into a streamlined experience that helps people get productive with local AI in minutes instead of spending days on configuration.
OpenAgentd is a self-hosted AI-agent OS that runs entirely on the user’s machine. It provides a web cockpit, streaming chat, persistent editable memory, tool use, workspace file browsing, image viewing, local voice transcription, scheduling and multi-agent teams with lead-worker delegation. Agents can read and write files, run shell commands, search the web, generate media, manage todos and extend capabilities via skills or MCP servers. The tool is for users who want a local, inspectable alternative to cloud-only agent workspaces. It is notable now because privacy, long-running autonomy and multi-agent coordination are converging into desktop systems rather than isolated chat tabs.
Together AI is an AI inference and training cloud platform that provides fast, cost-effective access to open-weight models. It offers fine-tuning, inference endpoints, and a startup program for early-stage companies building on open AI. Targeted at developers and startups who want an alternative to proprietary model APIs with transparent pricing and open-model support.
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