#developer-tools

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 AGENTS.md — no API key, one npx command.

Across 348 long-horizon benchmark sessions, Tura used up to 83.1% fewer turns on the rewrite benchmark and improved the DeepSWE pass rate by up to 16.7 percentage points compared with Codex CLI.

Backthread keeps the thread on what your AI coding agent ships — it captures the why behind every change and turns it into a living 'How it works' view of your codebase you can actually query.

Contexer captures architecture decisions, constraints, conventions, and patterns from AI coding sessions. Replays them in next session so you don't have to explain it again. It works across multiple AI agents.

A self-hosted browser console for Claude Code and ChatGPT Codex. Run AI sessions from any browser or phone — tool approvals, model selection, context management, session history — without leaving your own machine.

The lifecycle automation layer PostHog doesn't have yet. Code-first email journeys on PostHog + Resend. Self-hosted.

MCP server for 1С:Enterprise — AI assistant sees your configuration and generates accurate BSL code. One binary, zero dependencies, 10 tools.

MGR — Método Governado por Rastreabilidade (Traceability-Governed Method): spec-driven development framework for coding agents, portable between Claude Code and GitHub Copilot

Spec-first development toolkit for agentic AI coding agents — skills + guardrails for Claude Code, Codex, Cursor, Antigravity, and more.

🦈 Shark AI - AI-Native Collaborative Development Tool powered by StackSpot AI and BMAD Method

Self-hosted completion gate for coding agents: independent verification before done, durable evidence, CLI and local GUI.

Yet another coding agent harness, lightweight and written in go.

The token-efficient agentic coding workbench. Built for a future where every token counts — it optimizes token usage at the agent-loop level, saving 70%+ on long sessions, while planning, remembering your codebase, and shipping features in parallel from a single self-hosted binary.

Skill distribution

Semantic code search for coding agents — search by meaning like grep, trace call graphs, find tests & blast radius. 100% local embeddings (ONNX/MLX), MCP server, plugins for Claude Code, OpenCode, Codex & Droid.

A governed, local-first MCP development control plane for AI coding agents.

Persistent memory for pi — learns corrections, preferences, and patterns from sessions

Smart auto-mode for Claude Code. The safe alternative to --dangerously-skip-permissions.

The local-first control layer for your AI coding CLIs — one context, one cross-repo fleet view.

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Deterministic execution harness for AI agents — goals in, structured tasks out, verified results back.

Local-first control plane for AI coding agents: repo memory, verification, sessions, and dynamic workflows.

🧠 Self-hosted, privacy-first MCP server for long-term AI memory — save, search & summarize Claude/ChatGPT chat history locally. No cloud, no database.

Tera templating + smart [vars] for self-rendering TOML configs (planning stage)

A reliable file downloader with durable resume, parallel segmented downloading, and optional integrity verification.

Enterprise engineering workflow for Claude Code — not just prompts. AI agents that plan, build, audit, and ship with security gates, privacy checks, and approval-controlled commits. Safely adopt it into new or existing repositories.

GCC diagnostic UX wrapper for GCC 9-15 that keeps terminal output shorter, root-cause-first, and fail-open.

Multi-repo manager (TUI & CLI) for git and jj with parallel dispatch and live status

CLI + TUI that turns the GitHub Copilot CLI into a senior teammate: installs a curated catalog of skills, custom agents, a teaching persona, cross-session memory, and a native Spec-Driven Development engine. Pure Go — no LLM inside; capiko directs, Copilot executes.

Organized AI Workspace | Complex Multi Phase Planning | Auditable Agent Workflows | Long Running Goals | Structured Agentic Loops