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Local session memory, knowledge graph and Ollama-backed inference for coding agents
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Local session memory, knowledge graph and Ollama-backed inference for coding agents
Lets an assistant translate a local PDF or Word document while keeping its layout, formulas and figures.
Recommends, compares and searches agent harnesses from the curated best-of-Agent-Harnesses list
Typed classification, yes/no checks, scoring and ranking for coding agents via TypeSafe's Jev model
Agent evaluation and self-improvement harness exposed to MCP clients as scenarios, runs and judges
Turns PDFs, Office files and web pages into structured Docling documents, and builds or edits them
Puts budgets, verifier gates and run receipts around coding-agent jobs started from an MCP host
Start, watch and steer other AI coding CLIs running in local tmux windows from one host CLI
Local checks on LLM text for hallucination signals, prompt injection and personal data
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