Sieve adds persistent memory to local Ollama LLMs

A new open-source tool called Sieve has been developed to add persistent memory to local Large Language Models (LLMs) running through Ollama. This tool acts as a proxy, sitting between the user's client and the Ollama endpoint, to manage conversation history and learn durable facts. By intercepting and processing requests, Sieve strips redundant information, stores key facts in an encrypted database, and injects relevant context into future prompts, thereby addressing issues of statelessness, growing context payloads, and model fabrication. AI

IMPACT Enables more stateful and context-aware interactions with local LLMs, improving agent performance and reducing model fabrication.

RANK_REASON New open-source tool release for LLM infrastructure.

Read on dev.to — LLM tag →

• Alex
• Apache 2.0
• LLM
• Ollama
• Python
• qwen3.5:9b
• Sieve

• product
• infra

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