npm
getlarge/themoltnet
Give an agent a job, not your keys. Open-source control plane for AI agent work: each agent gets its own identity, a bounded job, and a signed record of what it did.
AGPL-3.014 вер. 2026 р. · метрики 2.10.0
Усі теги
Тег каталогу
#context-engineering
Усі репозиторії публічного реєстру з цим тегом — із тем GitHub або ключових слів, які публікують їхні реєстри пакетів. Здоров'я вимірюється за тією ж версіонованою методологією, що й решта реєстру.
100 записів
npm
oomkapwn/enquire-mcp
The #1 Obsidian MCP for AI memory — freshness-aware, cited, local-first and read-only by default. Dataview, Bases, PDFs, every agent.
MIT18 вер. 2026 р. · метрики 2.10.0
npm
ayleen/triss-coworker
Managed delegation for AI development. Delegate research, code review, and implementation through a local CLI and MCP server.
MIT10 вер. 2026 р. · метрики 2.10.0
npm
githits-com/githits-cli
CLI & MCP for GitHits - The Code Context Layer for AI Coding Agents
Apache-2.012 вер. 2026 р. · метрики 2.10.0
npm · PyPI
maxritter/pilot-shell
Professional context and harness engineering for Claude Code and OpenAI Codex. Build production-grade software with spec-driven development, TDD, persistent memory, quality gates, code intelligence, human oversight, and end-to-end verification.
Власна ліцензія6 вер. 2026 р. · метрики 2.10.0
PyPI · crates.io
nikolay-e/diffctx
Smart git diff context for LLMs and AI agents: budgeted fragment selection, deterministic, MCP server included
Apache-2.018 вер. 2026 р. · метрики 2.10.0
PyPI
omega-memory/omega-memory
Persistent memory for AI coding agents
Apache-2.018 вер. 2026 р. · метрики 2.10.0
npm
raymondchins/agentmap
Stop your coding agent reading the wrong files. Compiler-grade TS/JS repo map — 100% precision on blast radius vs grep's 60%, measured on public repos. CLI + MCP server, fully local, no vector DB.
MIT13 вер. 2026 р. · метрики 2.10.0
npm
atomicstrata/llm-wiki-compiler
The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.
MIT11 вер. 2026 р. · метрики 2.10.0
PyPI · npm · crates.io +1
major7apps/pensyve
Universal memory runtime for AI agents
Власна ліцензія10 вер. 2026 р. · метрики 2.10.0
PyPI · npm
oliver-zehentleitner/keep-the-why
The why layer of repo-native project memory: the reasoning behind a codebase as Markdown in the repo, versioned by Git, for coding agents and humans, so nothing rejected is proposed twice. No database, no daemon, no account.
MIT11 жовт. 2026 р. · метрики 2.10.0
npm
shinpr/ai-coding-project-boilerplate
Agentic coding TypeScript boilerplate for Claude Code: sub-agent workflows with built-in quality checks and context engineering.
MIT13 вер. 2026 р. · метрики 2.10.0
PyPI · crates.io · npm +1
ISON-format/ison
🔥 Token-efficient JSON alternative for LLMs & agentic AI — same data, fewer tokens. Python · JS/TS · Rust · Go · C++
MIT30 вер. 2026 р. · метрики 2.10.0
PyPI
fmind/brain-framework
🧠 Brain Framework: from information to informed actions.
MIT20 жовт. 2026 р. · метрики 2.10.0
npm
YawLabs/ctxlint
Lint your AI agent context files (CLAUDE.md, AGENTS.md, etc.) against your actual codebase
MIT17 вер. 2026 р. · метрики 2.10.0
npm
chandra447/pi-hermes-memory
Hermes-style persistent memory and learning loop for Pi coding agent
MIT5 вер. 2026 р. · метрики 2.10.0
npm
ctxpipe-ai/ctxpipe
Self-learning context infrastructure for AI engineering agents. Connect repos, docs, and tools into one org-scoped knowledge graph and expose it through a single MCP.
Власна ліцензія14 вер. 2026 р. · метрики 2.10.0
npm
prjct-app/cli
The agentic harness for AI coding agents — intelligence is rented, the harness is owned. Runs the full work cycle: intent briefs, bounded RAG context from real code intelligence, persistent memory, preventive guardrails, and performance evals. One CLI + MCP server, SQLite inside. Claude Code, Codex, Gemini CLI, Cursor & OpenCode.
MIT14 жовт. 2026 р. · метрики 2.10.0
npm · crates.io
claudioemmanuel/squeez
Hook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, self-teaching protocol. Zero runtime deps.
Apache-2.05 вер. 2026 р. · метрики 2.10.0
npm
Obedience-Corp/festival
Organize your intent, loop your work and achieve the outcome you want from AI without wasting tokens
Apache-2.018 вер. 2026 р. · метрики 2.10.0
npm · crates.io · PyPI
Tura-AI/tura
Build agent that uses 80% less token and delivers better results.
AGPL-3.09 вер. 2026 р. · метрики 2.10.0
PyPI · npm
eugenelim/agent-ready-repo
The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release) over a catalogue of curated packs: skills, subagents, and hooks, each installed in one line. It's npm for your coding agent. Any agent, any stack — Claude Code, Codex, Cursor, Copilot, Gemini, Kiro.
Apache-2.017 вер. 2026 р. · метрики 2.10.0
Go · npm
vibexp/vibexp
VibeXP | Shared Brain of your Organization for AI
AGPL-3.019 вер. 2026 р. · метрики 2.10.0
Go
Obedience-Corp/camp
Workspace and context manager for domain specific AI automation and large scale AI workflows
Apache-2.014 вер. 2026 р. · метрики 2.10.0
npm
context4ai/context
A lightweight knowledge system for small‑and‑medium teams tailored to AI Agents. It compiles Feishu Docs, local Markdown, code structures and curated business data into structured, traceable knowledge, guiding Agents to retrieve high‑quality content via pattern‑driven reasoning and exploration.
MIT14 вер. 2026 р. · метрики 2.10.0
npm
cytostack/openwolf
Portable project memory across Claude Code, Codex and OpenCode, plus token accounting measured from harness transcripts. Local file I/O, no API calls, no telemetry.
AGPL-3.010 вер. 2026 р. · метрики 2.10.0
Go
BA-CalderonMorales/agent-harness
A clean-room Go implementation of agentic coding harness patterns, derived from analyzing production AI agent architectures. Built for learning, extending, and teaching how to build coding agents like Claude Code, OpenCode, and Gemini CLI. Supports OpenRouter and Anthropic out of the box.
Власна ліцензія20 вер. 2026 р. · метрики 2.10.0
npm
adelinamart/robrain
Shared memory across your team and your AI agents — with judgment about what's worth keeping.
Apache-2.012 вер. 2026 р. · метрики 2.10.0
npm
gkoreli/backlog-mcp
Your backlog is your agent's memory
MIT14 вер. 2026 р. · метрики 2.10.0
PyPI
inth3shadows/terse
Shrinks your AI agent's tool output so it burns fewer tokens, without changing what the agent reads. Lossless by default, no decode step.
MIT26 вер. 2026 р. · метрики 2.10.0