local-llm-agent

A cognitive architecture that runs on your own machine. Internal state reaches generation through the model's activations, not the system prompt — and every consequential action leaves a receipt you can audit. Not an assistant. IIT 4.0 φ, CAA steering, 136 consciousness modules, local on Apple Silicon.

Free-first, model-adaptive coding agent runtime that makes local small LLMs work reliably with harness, checkpointing, verification, cache-aware context, and free-model fallback.

Nova Studio - Windows desktop workbench for local LLM inference (vLLM / SGLang / llama.cpp via WSL2), bridging WSL engines to any OpenAI-compatible client

Structured planning, bounded memory, TDD, and Git guardrails for local coding models in Pi Code (I don't know TypeScript at all; this is mostly a local-model experiment, with occasional help from Claude Code)

Puts a Pi agent on Telegram: your terminal session on your phone, and a secretary that replies to other people for you — built for a small local model, with strict context isolation and long-term memory per contact (I don't know TypeScript at all; this is mostly a local-model experiment, with occasional help from Claude Code)

Local AI voice assistant powered by Whisper, Ollama, and edge-tts. Fully offline, no API keys.

Embedded bitemporal memory engine with hybrid retrieval for local-first applications and AI agents — in-process, no server.

Local LLM desktop agent that understands the screen and automates GUI tasks from telegram bot. [ Testing Phase ]

A research-oriented Green AI benchmarking suite for analyzing the performance and resource footprint of local LLMs.

LLM-as-a-Judge framework for profiling local model capabilities across domains — toward automated model team composition

A Desktop Agent that can work on any OpenAI compatible API endpoint including local LLMs too.

Containerized orchestration for a fully local pi.dev AI agent, served by RamaLama LLMs, with built‑in VSCode extension integration and automatic model tuning—all running isolated from the host system.

Tiny consistency checker for LLM reasoning. State facts and first principles in a small English-like DSL; a three-valued SAT engine finds where they contradict — consistency, not truth. Simplified SAT, not SMT — small enough for local LLMs, useful for any. Beta.

A self-hosted AI document knowledge platform, private and on-premise RAG.

Open-source interoperability layer for Coding Agents & LLMs

A simple agent helps you summary your daily email.