Developer Documentation & Architectural Specifications
Explore architectural deep-dives, SDK guides, interactive terminal sandboxes, and production documentation across the Aikord AI suite.
Open-source, subscription-free AI terminal copilot. Local SLM priority with Ollama, sub-10ms DuckDB vector caching, 3-layer safety defense, and autonomous ReAct self-healing execution.
Real-time LLM token observability and cost governance. Tracks streaming TTFT, forecasts multi-provider spend across DeepSeek, OpenAI, Anthropic, and Groq, and triggers budget rate-limiters.
Ultra-low latency reverse proxy and security gateway for production LLMs. Enforces prompt injection filtering, automatic PII masking, DLP compliance, and semantic output moderation.
Every product in the Aikord ecosystem is engineered according to four fundamental design axioms:
Prioritize local SLMs and local vector engines. Your prompts and code never leave your machine unless you explicitly escalate.
Embedded databases (DuckDB VSS) with HNSW approximate nearest-neighbor indexing replace redundant cloud LLM roundtrips.
Combining neural classification, Pydantic type safety, and deterministic keyword policies ensures zero accidental data loss.
Free, open-source software with drop-in compatibility for self-hosted models or ultra-affordable pay-per-token cloud APIs.