Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses. Connect agents via MCP, Python SDK, TypeSc
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Latest capture 2026-08-03 03:15
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Agent instructions and tool configuration found in this repository.
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Claude Code 13
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ContextGem: Effortless LLM extraction from documents
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
Credit scores for AI agents — signed, offline-verifiable receipts for every action. Reference implementation of the OWASP Agentic Skills Top 10 (AST09) bilateral receipt pattern. Open source, MIT.
Fast, small, secure, local-first personal AI assistant infrastructure: one Rust binary for tools, memory, channels, providers, and sandboxed autonomy.
EnigmAgent — 6-layer encrypted vault for AI agents (AES-256 + ChaCha20 + Blowfish + Fernet + 3DES + RSA). P2P sync via Gun.js. Zero cloud. Part of P2PCLAW.
Agent harness and tookit for building AI agents and agentic applications. CLI and SDKs included
