Havuz

Equip the right context for the job — named context kits for AI coding agents, auto-equipped per stack, machine, or task

Local streaming reverse proxy between AI coding agents (Claude Code, Cursor, Codex) and model APIs (Anthropic, OpenAI, Gemini, MiniMax). Met

Cost saving Cognitive Architecture for AI Agents. Infinite Context. Perfect Recall. Zero Hallucinations.

Persistent organisational intelligence for AI agents. Turn codebases, documents, policies and decisions into a knowledge graph — 13 LLM back

Real-time context layer that converts user activity into actionable signals for OpenClaw.

Loop Engineering — a skill for designing & reviewing autonomous/semi-autonomous agent loops (Claude Code, Codex, Copilot, Gemini).

A compiler for AI coding tasks: pre-resolves repo facts (callers, git history, blast radius, bug-site source) before your coding agent's fir

Portable, always-fresh docs for agents and humans. A Surface hub is a conformant OKF concept; Surface adds the freshness OKF leaves out - it

The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release

Build system for AI coding-agent context. Generate deterministic, explainable context artifacts for Claude, Codex, Cursor, and MCP.

Build micro-vertical AI products with memory, workflows, human approvals, and governed improvement. The open-source engine behind every Aree

Template for creating a long-term sync hub that checks your company's data sources into Git as plain Markdown, giving AI coding agents durab

A Codex skill for durable project memory across context compaction

The framework for building stateful agents. Your agent is a folder of state, served over MCP, used from any runtime.

Open-source control plane for Codex projects: Git-backed context, visible agent progress, scoped MCP access, resumable work, and safe handof

inplan — a Markdown editor for human ⇄ coding-agent planning. CLI + desktop editor.

Maintain the same context between AI chats, models, and coding agents. Stop re-explaining your project every time you switch AI tools.

Auditable context capsules for LLM handoffs, coding agents, and OpenCode MCP workflows.

LeanCTX, coding agent’lara yerel bir katman üzerinden görevle ilgili context’i seçip sıkıştırarak ileten ve kullanım maliyetini izleyen bir yazılımdır.

Neden yükseliyor · 188 günde 3.839 yıldıza ve son 28 günde 292 commit’e ulaşması dikkat çekiyor. README’de çok sayıda coding agent desteği, tek komutla kurulum ve ölçülebilir token tasarrufu öne çıkarılıyor; ancak bu tasarruf iddiası kullanım senaryosuna bağlı ve bağımsız doğrulama bilgisi verilen metinde yok. Commit etkinliği yüksek olsa da 5 farklı yazar katkının sınırlı sayıda kişide yoğunlaşabileceğini gösteriyor.

A pure-Python context management layer for LLM systems — retrieval, re-ranking, memory decay, and token-budget enforcement in one pipeline.

Persistent memory for AI agents, for code, research and everyday life. Facts are typed, sourced, and retired when they change. Local SQLite,

让 Codex 少烧 Token、少造复杂度，同时不降智的代码约束 Skill

OMem (Office Memory) — local-first memory that automatically ingests your real work (mail, calendar, notes, files) from where it already liv