lime
Lime is a local-first desktop AI agent workbench (built with Tauri) that organizes workspaces, tasks/sessions, reusable Skills workflows, and integrations for external tools/services via MCP. It also supports asynchronous collaboration through channels (e.g., Feishu/Telegram/Discord) via a “Claw” concept, and produces persistent artifacts (documents/scripts/visual plans/video plans) as results.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
README indicates provider/credential management (API keys and OAuth) within the app, but does not describe secure storage, redaction, or token handling practices. License is GPLv3. No server-side API security controls, TLS requirements, or scope granularity are documented in the provided content.
⚡ Reliability
Best When
You want an on-device/desktop agent workspace that persists projects, workflows (Skills), and outputs (artifacts), with extensibility through MCP-based tools.
Avoid When
You need a well-documented network API with OpenAPI specs, server-side webhooks, and clearly defined rate limits for agent automation.
Use Cases
- • Local-first AI-assisted content creation (articles, scripts, long-form writing)
- • Idea-to-delivery pipelines using reusable prompt/workflow Skills
- • Browser/file/terminal-assisted agent workflows via MCP tools
- • Iterative task sessions with persisted context, versions, and artifacts
- • Channel-based asynchronous collaboration triggering and returning results
Not For
- • A simple hosted API service (it is a desktop application, not a backend API)
- • Use cases requiring documented public REST/GraphQL/SDK interfaces for programmatic access
- • Teams needing clear published SLAs/uptime guarantees for availability
Interface
Authentication
README describes a UI for managing API keys, OAuth credentials, and provider connections, but does not document specific auth flows, scopes, or token lifecycles for external programmatic use.
Pricing
No pricing information in provided README/manifest content. Repository license is GPLv3; runtime provider/model costs likely depend on third-party providers configured in the app.
Agent Metadata
Known Gotchas
- ⚠ This appears to be a desktop application; public machine-to-machine interfaces (REST/webhooks/SDK/OpenAPI) are not evidenced in provided content.
- ⚠ Auth and rate limiting are not documented for agent automation in the README content provided.
- ⚠ Idempotency, retries, and error semantics for agent tool calls are not specified in the provided materials.
Alternatives
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Scores are editorial opinions as of 2026-03-30.