A self-hosted AI coding assistant that remembers past sessions and can act across your terminal, IDE and other tools with a large context window.
Best alternatives to Statewright in 2026
AI coding assistants are usually handed every tool at once: read files, write files, run commands, delete things. If the agent misreads the task or hallucinates a step, nothing stops it from doing something destructive mid-conversation. Statewright works more like a building with keycard access per floor: the agent only gets the keys for the phase it's actually in — read-only while it's exploring the code, edit tools once it's implementing, test commands once it's verifying — so a wrong turn can't cascade into a wrong action. Statewright is a Rust-built engine that enforces phase-specific tool allowlists for AI coding agents via workflows defined in JSON (states, transitions, guards, approval gates). It integrates through MCP and hooks with Claude Code, Codex, Cursor, OpenCode, and Pi, and can route different LLMs to different states (e.g., a cheap model for read-only exploration, a stronger one for implementation). It's open source (Apache 2.0, with some components on a delayed FSL license converting to Apache 2.0 in 2029) and self-hostable via Docker Compose, with an optional managed cloud tier for workflow storage and the MCP gateway.
Quick comparison of Statewright alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Développeurs et équipes voulant un assistant de code IA auto-hébergé avec mémoire persistante | — | |
| 2 | Équipes IT et sécurité d'entreprises déployant des agents IA internes construits par leurs employés | — | |
| 3 | Développeurs construisant des agents IA en production nécessitant un contrôle fin de l'état et de la fiabilité | — | |
| 4 | Équipes produit et développeurs construisant des chatbots, agents IA ou pipelines RAG sans vouloir tout coder à la main | — | |
| 5 | Développeurs et équipes construisant des systèmes IA ancrés dans leurs propres documents (RAG), de la startup à la grande entreprise | — | |
| 6 | Développeurs et équipes techniques construisant des agents IA autonomes longue durée (recherche, code, tâches multi-étapes) | — | |
| 7 | Organisations en secteurs réglementés (santé, droit, finance, gouvernement) qui ne peuvent pas envoyer leurs données à un cloud tiers | — | |
| 8 | Développeurs et ingénieurs DevOps qui veulent des agents IA légers et composables intégrés à des pipelines existants (cron, git hooks, scripts) | — | |
| 9 | Chercheurs, travailleurs du savoir et développeurs qui veulent visualiser et contrôler précisément le contexte envoyé à un LLM sur des conversations longues | — | |
| 10 | Créateurs de contenu, entrepreneurs et petites équipes qui vivent dans Telegram et veulent un assistant IA avec mémoire long terme et souveraineté des données | — | |
| 11 | Entreprises gérant de gros volumes documentaires, équipes voulant un RAG self-hosted flexible sur de multiples fournisseurs LLM | — | |
| 12 | Entreprises et équipes gérant l'accès à plusieurs fournisseurs LLM, notamment avec facturation interne ou revente | — |
- ✓ Self-hostable — code and context stay under your own control
- ✓ Persistent memory across sessions (CLI, chat, SDK)
Lets IT and security teams see, approve and monitor every internal AI agent employees build, instead of agents spreading unchecked across the company.
- ✓ Addresses a real, emerging gap: ungoverned internal AI agent sprawl
- ✓ Scoped credentials per agent plus mandatory IT approval before deployment
A code library from the LangChain team for building AI agents that can pause, remember where they were, and pick back up later — even after a server restart — instead of losing all progress if something goes wrong mid-task.
- ✓ Durable execution — resumes from a checkpoint instead of restarting after failure
- ✓ Native human-in-the-loop and short/long-term memory primitives
An open-source platform for building AI chatbots and automated workflows by connecting blocks on a canvas, instead of writing code from scratch.
- ✓ Visual builder for AI workflows (RAG, agents, conditional logic) is genuinely productive
- ✓ Open-source and self-hostable — no forced cloud lock-in
An open-source toolkit for building AI systems that answer questions using your own documents — feeding an AI model your company's PDFs, wikis, or support tickets so it answers from real content instead of guessing.
- ✓ Modular, composable pipelines — swap vector DBs or LLM providers without a rebuild
- ✓ Broad connector support across major vector databases and LLM providers
An open-source framework from ByteDance for building AI agents that can spend minutes or hours working through a task — researching, writing code, and spinning up helper agents — rather than answering in one quick reply.
- ✓ Large scale and maturity — 80k+ GitHub stars, backed by ByteDance
- ✓ Sandboxed execution (local/Docker/Kubernetes) treated as a real security concern
A free, open-source, self-hosted AI agent platform built for organizations that can't send data to a third-party cloud — think law firms, clinics or banks — with role-based access, memory, and support for every major AI model.
- ✓ Fully self-hosted end to end — no data ever leaves your infrastructure
- ✓ Role-based access with PostgreSQL Row Level Security, native multi-user support
A free, open-source command-line tool that lets you define small, single-purpose AI agents as simple config files and run them like Unix programs — triggered from the terminal, a cron job, a git hook, or piped straight into another command.
- ✓ 12MB binary, no daemon or GUI — drops straight into existing pipelines
- ✓ Agents defined in version-controllable TOML, easy to code-review
A free, open-source infinite canvas that turns your conversations with AI models into an editable graph — so you can see, prune, and reuse exactly which parts of the conversation the AI is actually reading, instead of a single ever-growing chat thread.
- ✓ Context is visible and editable as a graph, instead of an opaque chat thread
- ✓ Free and open source (MIT), self-hostable or usable via the web demo
A self-hosted AI assistant that lives inside Telegram on your own server, with memory, emotional awareness, and dozens of built-in skills — useful if you want an AI that remembers your life and work without handing your data to a big tech company.
- ✓ 4-layer memory with full-text + vector search — remembers context long-term, unlike typical chatbots
- ✓ 50+ pre-installed skills via MCP, directly inside Telegram (voice and files included)
An open-source, self-hosted platform from Tencent that turns a pile of company documents into a searchable knowledge base with AI Q&A — built to plug into a very wide range of AI models and vector databases.
- ✓ Supports 20+ LLM providers and 8+ vector databases — no vendor lock-in
- ✓ ReACT multi-step reasoning agents with 29 official MCP tools, beyond simple Q&A
A free, open-source self-hosted gateway that puts a single API in front of a dozen different AI providers (OpenAI, Claude, Gemini and more), with built-in usage tracking and billing — useful if you're reselling or managing AI access for a team or product.
- ✓ Single gateway for 10+ LLM providers, OpenAI/Claude/Gemini-compatible
- ✓ Built-in organization accounts, permissions, and per-user usage/cost tracking
FAQ about Statewright alternatives
- What is the best alternative to Statewright in 2026?
- Based on our selection, Dropstone is the best alternative to Statewright in 2026. A self-hosted AI coding assistant that remembers past sessions and can act across your terminal, IDE and other tools with a large context window.. See our full ranking above to compare all options.
- Is Statewright free?
- Statewright is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to Statewright are there?
- mySelectas has listed 12 alternatives to Statewright in the AI & Machine Learning category. Our selection is updated regularly to include the best options available.