A free plugin from OpenAI that lets you call on Codex to review your code or hand off a background task without ever leaving Claude Code.
Best alternatives to Talos in 2026
Handing an AI assistant the keys to your computer's command line is unsettling — it might run the wrong command, or the right command with the wrong arguments, and there's no undo button once it's done. Talos tries to solve that problem the way an airport security checkpoint works: nothing gets through without being checked first, and every pass is single-use. It's an open-source AI agent you can point at real work — writing code, running shell commands, browsing the web — but every action it wants to take has to be explicitly cleared first, and that clearance expires after 30 seconds and covers only that exact action. Under the hood, Talos separates the 'model' (which proposes actions) from a 'kernel' (which decides whether to allow them) — an architecture the project sums up as 'model proposes, kernel decides.' Permissions are capability tokens scoped to a specific tool and its exact arguments, single-use and short-lived, rather than broad allow-lists. Shell commands run inside an OS-level sandbox (bubblewrap on Linux, sandbox-exec on macOS), and the agent ships with 23 declared tools across read, write, and exec operations. It can be driven from a terminal, Telegram, email, or WhatsApp, and includes emergency controls like /stop, /undo, and an /autonomy dial. It runs on Claude via the Claude Code CLI (OAuth, no separate API billing) as its default backend, with a pluggable provider layer for others.
Quick comparison of Talos alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Équipes utilisant déjà à la fois Claude Code et un abonnement Codex, voulant une seconde revue sans changer d'outil | — | |
| 2 | AI/ML researchers, developers, and hobbyists who want to run very large MoE language models locally on consumer desktop hardware | — | |
| 3 | Engineering and ML/platform teams building AI applications who want flexibility between hosted model APIs and self-hosted inference | — | |
| 4 | Developers and teams running local MCP servers who want remote AI clients (Claude, ChatGPT) to access them securely without port forwarding or a VPN | — | |
| 5 | Developers building AI agents, autonomous betting/trading systems, and agentic media tools | — | |
| 6 | Developers building LLM-powered applications who want to control prompt token costs and latency | — | |
| 7 | Developers already using multiple AI coding assistants who want to separate planning from execution | — | |
| 8 | Therapists, psychologists, and small mental-health practices looking to cut down on session documentation time. | — | |
| 9 | Developers building AI agents, assistants, or multi-tool workflows that need memory to persist and be shared across platforms. | — | |
| 10 | Developers and small-to-mid-size businesses seeking managed AI agent deployment without infrastructure management | — | |
| 11 | Enterprise and mid-market support teams using Freshdesk, Zendesk, Salesforce, or HubSpot; SaaS companies and e-commerce platforms managing high ticket volumes | — | |
| 12 | Développeurs et équipes utilisant des agents de codage IA ayant besoin de contexte factuel sur leur base de code | — |
- ✓ Native integration into the Claude Code workflow, no app-switching required
- ✓ Steerable adversarial reviews that challenge design decisions, not just syntax
An open-source tool that lets you run huge AI language models on an ordinary gaming PC by streaming the parts it needs straight from your SSD instead of cramming everything into RAM.
- ✓ Runs 100B+ parameter MoE models on desktops with as little as 32GB RAM
- ✓ Free and open-source, built on the well-established llama.cpp
An open-source inference operations platform that puts one stable, OpenAI-compatible endpoint in front of your application, whether it is served by a hosted model API or your own self-hosted models.
- ✓ Open-source (Apache-2.0) core -- free to self-host with no vendor lock-in
- ✓ Single stable endpoint whether you are using a hosted model API or self-hosted models
Forth MCP is a hosted relay that lets remote AI clients like Claude or ChatGPT securely reach MCP servers running on your local machine, without port forwarding or a VPN.
- ✓ Purpose-built MCP relay with per-token tool filtering
- ✓ No port forwarding, VPN, or firewall changes needed
Lumify is a real-time sports data and odds API purpose-built for AI agents and autonomous trading/betting systems, rather than human dashboards.
- ✓ Purpose-built for AI agents: MCP server, OpenAPI docs, and machine-readable structured data instead of text blobs
- ✓ Free tier is genuinely usable: 1,000 non-expiring credits, no credit card required
An open-source linter that scans your LLM prompts for token waste — like UUIDs, pretty-printed JSON, and repeated text — and estimates the real dollar cost of each finding.
- ✓ Free and open source under MIT, zero runtime dependencies
- ✓ Exact OpenAI tokenization, real dollar-cost estimates per finding
An open-source local bridge that lets a reasoning-focused AI (like Gemini or Claude in a browser) plan and review code changes while a separate local coding agent (currently OpenCode) actually writes and executes them.
- ✓ Free and open source
- ✓ Read-only MCP boundary keeps the planning AI from touching files directly
An AI assistant for therapists that listens to a session (in person or on a video call), transcribes it, and writes the clinical note afterward so the therapist doesn't have to.
- ✓ Ambient transcription frees the therapist to focus on the client
- ✓ Automated SOAP notes cut post-session admin time
A shared memory service for AI assistants and agents — it remembers facts and context from your conversations across tools like Claude, ChatGPT, and Cursor, instead of each tool starting from zero every time.
- ✓ Shares memory across many AI tools instead of siloing it per-app
- ✓ Structured, source-linked memories with real audit trail
Managed hosting for persistent AI agent bots — isolated runtime, memory, missions, and integrations (GitHub, Slack, Sentry, MCP) so you can hire an AI worker instead of running your own agent infrastructure.
- ✓ No server or infrastructure setup required to run persistent AI agents
- ✓ Workspace-level approval and credential controls limit blast radius of autonomous actions
AI agent that resolves support tickets automatically on top of Zendesk, Freshdesk, Salesforce or HubSpot, building its own knowledge base and escalating tricky cases to humans, billed per resolution instead of per seat.
- ✓ Layers on top of Zendesk, Freshdesk, Salesforce or HubSpot without forcing a helpdesk migration
- ✓ Per-resolution pricing avoids paying for idle seats or unused agent licenses
A knowledge-graph memory layer that gives AI coding agents persistent, factual context about your codebase, tickets, and docs — without another hosted service.
- ✓ Real knowledge graph of ownership and dependencies, not just vector search
- ✓ Self-hosted, data in your own database — no mandatory hosted service
FAQ about Talos alternatives
- What is the best alternative to Talos in 2026?
- Based on our selection, Codex plugin for Claude Code is the best alternative to Talos in 2026. A free plugin from OpenAI that lets you call on Codex to review your code or hand off a background task without ever leaving Claude Code.. See our full ranking above to compare all options.
- Is Talos free?
- Talos is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to Talos are there?
- mySelectas has listed 12 alternatives to Talos in the AI & Machine Learning category. Our selection is updated regularly to include the best options available.