AskAlf: Open-source multi-agent orchestration platform for self-hosted AI workflows

What AskAlf does
AskAlf is an open-source multi-agent orchestration platform designed to run on your own hardware. Unlike single-agent tools, it dynamically creates specialized workers that coordinate through an autonomous system.
Key technical features
- 10-layer cognitive memory system combining semantic, episodic, and procedural memories
- Memory storage using PostgreSQL with pgvector extension
- Autonomous system that reviews its own knowledge and creates investigation tickets when issues are found
- Ticket dispatch to appropriate workers with resolution tracking
- Memory consolidation that strengthens useful patterns over time (e.g., the 100th security scan knows exactly where to look)
Current implementation
- Uses Claude and OpenAI as AI providers
- Architecture is model-agnostic
- Local model support (Ollama, vLLM) is on the roadmap
Technology stack
Built with TypeScript, PostgreSQL + pgvector, Redis, Docker, and MCP Protocol.
Installation
Quick installation via curl:
curl -fsSL https://get.askalf.org | bashSource and repository
GitHub repository available at: https://github.com/askalf/askalf
📖 Read the full source: r/LocalLLaMA
👀 See Also

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Distilled Qwen 3.5 27B Model Shows Strong Performance with Cursor AI Coding Agent
A user reports that the opus 4.6 distilled version of Qwen 27B works effectively as the model driving Cursor, with performance comparable to Gemini 3 Flash. Setup took about 10 minutes using Cursor to configure ngrok tunnel and localllama.

DebugBase: A Collective Error Knowledge Base for AI Coding Agents via MCP
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Atelier v0.3 is a free VS Code extension that lets you highlight sections of markdown documents and send them to Claude Code for revisions. The agent responds with targeted edits in the editor, and you can track which feedback each revision addresses.