llm-sieve
Transparent context reduction for LLMs. A proxy between your agent and your LLM endpoint.
Sieve sits between your agent framework and your LLM endpoint. It watches the traffic, extracts durable facts into an encrypted local store, and rewrites bloated prompts into lean, on-demand context. Your agent keeps talking to what looks like its usual endpoint — the model just stops drowning in repeated tool descriptions, stale history, and instructions it already knows.
⚡ How to use llm-sieve
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/llmsieve-llm-sieveCapabilities
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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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