#llm

Wayland - The AI Agent That Perceives. Reasons. Acts. Evolves.

Multi-agent orchestration plugin for OpenCode. 10 configurable model slots, 30 hooks, memory search, LSP diagnostics, agent-browser integration, completion controller, auto dream/distill memory consolidation. One prompt to set up and run.

TradingAgents: Multi-Agents LLM Financial Trading Framework

A type-safe abstraction layer over LLM provider SDKs for TypeScript

Shared infrastructure for go-* MCP servers: env, llm, cache, retry, metrics, strutil

Local-first AI workflows for engineers.

Local-first AI workflows for engineers.

Local-first AI workflows for engineers.

Detent is board-driven agentic work orchestration, shipped as a single Go binary — it watches a GitHub Projects board and runs each ready issue through an isolated Git worktree, a coding agent, your validation gate, and a serialized merge train, live on web and terminal dashboards.

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

A WebRTC-native, audio-first conversational-AI framework for Go.

💬 A performant virtual chat component for Svelte applications - efficiently render large scrollable chat interfaces with minimal memory usage

An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in Go.

vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!

PostgreSQL compiler. One source, many faithful forms.

Research-grade investment decision engine for AI agents: isolated multi-agent committee, auditable verdicts, backtests with lookahead protection, published negative results

LLM prompt language based on Jinja. Banks provides tools and functions to build prompts text and chat messages from generic blueprints. It allows attaching metadata to prompts to ease their management, and versioning is first-class citizen. Banks provides ways to store prompts on disk along with their metadata.

A universal git-native AI agent framework. Your agent lives inside a git repo — identity, rules, memory, tools, and skills are all version-controlled files.

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

Google Gemini platform bridge for Symfony AI

Ollama platform bridge for Symfony AI

OpenRouter platform bridge for Symfony AI

Symfony bridge for AI Mate - provides Symfony container introspection and optional profiler data access tools

AI partners for every person: multi-user, multi-agent memory, trusted tools, schedules, sandboxed workspaces, and chat.

TurboQuant+ KV cache compression for vLLM. 3.8x smaller KV cache, same conversation quality. Fused CUDA kernels with automatic PyTorch fallback.

LiteLLM for Go, the easiest way to write LLM-based programs in Go

Agentic terminal AI assistant with a Bubble Tea TUI, code-graph review, semantic search, multi-provider LLMs, and MCP tools.

Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). AGPL.

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

A Javascript SDK for the Linkup API