mayros
Mayros is an open-source AI agent framework (TypeScript/Node) that runs locally on a user’s devices. It provides a coding/agent CLI (TUI) and a local Gateway control plane that can connect to many messaging channels, while using a knowledge graph/semantic memory (AIngle Cortex) and offering MCP server & client support for tool integration. It also includes multi-agent orchestration features and extensibility via plugins and markdown-defined agents/commands.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Claims about '20-layer security architecture', sandboxing, scanners, and a rate limiter are present, but the provided content does not include concrete implementation details, threat model, or verifiable evidence (e.g., how secrets are stored/handled, how permissions are enforced at tool boundaries). Messaging channel security defaults mention pairing codes/opt-in for public DMs, but no detailed auth/authorization model (scopes, least privilege) is evidenced.
⚡ Reliability
Best When
You want a local-first, extensible agent system that can integrate with multiple messaging channels and use persistent semantic memory, with an MCP path for tool interoperability.
Avoid When
You need a minimal dependency footprint, a strictly stateless API, or you require formally documented security controls, error contracts, and operational guarantees (SLA/retry/idempotency) that are not evidenced in the provided material.
Use Cases
- • Interactive coding assistance in a terminal (mayros code / TUI) with plan/diff/context views
- • Multi-channel personal assistant / agent that can send/receive messages across chat platforms
- • Local-first semantic memory and knowledge graph across sessions/projects
- • Tool integration for AI agents via MCP server/client
- • Building multi-agent workflows and agent-driven automations
- • Gateway-based control plane for channel clients and agent tooling
Not For
- • Teams needing a simple single-purpose chatbot library without local control-plane or memory
- • Environments that cannot run background daemons or manage local state
- • Use cases requiring a fully documented public REST/GraphQL API for programmatic access (not evident from provided content)
- • Organizations that require clearly specified, independently verifiable security/compliance guarantees without deeper evidence
Interface
Authentication
Provided README content mentions security defaults for messaging DMs via pairing codes and explicit opt-in for public DMs, but does not describe formal OAuth/API-key auth for a public service API.
Pricing
No pricing details are provided in the supplied README/manifest content.
Agent Metadata
Known Gotchas
- ⚠ Broad multi-channel integrations can introduce brittle, channel-specific edge cases (rate limits, message formatting, auth tokens per channel).
- ⚠ Local Gateway and daemon setup may require careful lifecycle management and port configuration (example given: ws://127.0.0.1:18789).
- ⚠ Persistent memory/knowledge graph increases the importance of safe data handling and permissioning; misuse of permissions could have lasting effects.
Alternatives
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Scores are editorial opinions as of 2026-03-30.