Havuz

Local-first, evidence-aware memory and project continuity for AI coding agents. Checkpoints, context packs and auditable receipts without te

The context spine that 10x's every AI coding session. Live in 8 IDEs (Claude Code, Cursor, Cline, Continue, Aider, Codex, Windsurf, Zed) via

Local-first AI companion daemon — an agent harness with its own long-term memory. Remembers you, grows with you, extends and repairs itself.

A pure-Python reachability and skeletonization layer that decides what a coding agent actually sees before a request reaches the API.

Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw

Find out what your coding agents already know. Docmancer indexes the memory, rules, and instructions Claude Code, Codex, Cursor, and Gemini

Give your CLAUDE.md / AGENTS.md a checkup — audit size vitals, dead references, drifted claims, and backtest every rule against your own ses

Local-first flight recorder for coding agents : replay every run as a live session map, score the context bill, and write the fix back into

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

What Claude Code is doing between your prompt and its answer, drawn live from the logs it already writes: every model call, every tool, each

Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, t

Memory for your AI work across projects and sessions. Save decisions, rules and lessons with source and applicability. Connect over MCP.

Engineering workflows for AI coding agents or flesh engineers. It helps absorb silent base-model quality drift.

Git-native context control plane for AI coding agents

Shared memory across your team and your AI agents — with judgment about what's worth keeping.

AI agent context layer for career-related tasks.

HEDGEHOG codes Cleaner, Faster and with Fewer Tokens. Hedgehog's AI-driven development builds a task dependency graph from your spec-driven,

Build your own Company OS with Claude Code. CLAUDE.md template, 5 GTM skills, workflow plugin, safety hooks, and full blueprint.

Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence

Universal memory runtime for AI agents

Analyze your Claude Code context window, detect wasted tokens, and get pasteable fix commands. Zero API calls

Losslessly compress the tool output your AI agent sends the model, prove every value survived, and report the exact tokens removed. Run it a

EGC gives every AI coding agent the same brain. Shared memory, skills, and live context across Cursor, Claude Code, Copilot, Aider, and 29 A

Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.

Run reviewable, resumable coding-agent workflows across Claude Code, Codex, Gemini, GitHub Copilot CLI, or any CLI. You define the stages in

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

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

🚀 Level up your career with GenAI. 📄 Tailor your CV to any JD, 🔍 automate company research, and 🗓️ generate custom interview prep plans for

A Codex skill for durable project memory across context compaction

Use these guidelines for writing good Gherkin scenarios. Feed it as context to AI specs, agents, and skills.

Persistent, inspectable memory that grows and refines over time. Built on files. Owned by you.

Session handoffs for Claude Code: skills that capture decisions, failed approaches and next steps, plus a Claude Code mod (/compact-handoff)

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

Repo-local continuity runtime for AI coding agents. Helps them continue from the same inspectable work state instead of starting cold. Stop

The linter for your agent harness. Works with Claude Code, Codex, and Cursor.

CTX is the standard Cognitive Version Control System for AI. Structured working memory for AI agents. CTX preserves goals, tasks, evidence,

Keep Claude Code context clean. Open-source toolkit: drift detection, re-read dedup, integrity scoring, AST-aware reads, 15 MCP tools. 62.6%

Context profiler for LLMs and AI agents - used to introspect context contents and reduce token costs

Cursor uses AI to edit code — we use AI to edit AI's context. 🪆 Context map + compression + version control for LLM context windows.

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

khive is a system of records and operations for agent-native organizations

Opencode-Raven keeps noisy tool work behind a focused Raven agent, so your main model gets compact answers instead of raw search results, do

Your AI finally remembers your codebase

Convert long AI conversations into portable conversation state graphs for LLM handoffs.

Audit and shrink your Claude Code startup context. Measures what every skill, plugin, agent, and memory file costs in the system prompt, the

A Git-native knowledge layer for your team — and a set of tool suite that keeps it alive.

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

Claude Code skill that forces AI to understand before executing. Three disciplines: cognition check, requirement understanding, method searc

27 Skills that diagnose, build, and optimize every architectural layer of your Claude environment

Agent skills for coding CLIs, multi-agent runtimes, context engines, MCP extensions, and terminal tooling. Instead of using claude code's so