askimo-ai/askimo — Local-first AI agent platform for desktop and CLI.

Description and use

**Brief Summary (2‑3 sentences)**
askimo‑ai/askimo is a local‑first AI‑agent platform that lets developers build and run sophisticated, multi‑step workflows from the desktop or CLI. It unifies chat, RAG search, tool‑use pipelines, and multi‑agent coordination across a wide range of LLM providers (OpenAI, Claude, Gemini, Grok, Ollama, LM Studio, etc.). By exposing a clean API/SDK and CLI, it turns ad‑hoc prompts and utilities into repeatable, version‑controlled agent workflows.

**Value**

• **Workflow orchestration**: Converts scattered prompts and scripts into structured, reusable “plans” that can be shared across teams.
• **Tool integration**: Provides built‑in MCP (multi‑component‑pipeline) hooks so agents can call external tools, databases, or APIs without custom glue code.
• **Vendor agnostic**: Supports dozens of LLM back‑ends, enabling easy switching or hybrid deployments while keeping all data local.

**Practical Adoption Path**

1. **Prototype** – Install the Kotlin‑based CLI or import the SDK into an existing JVM project; point it at a local LLM (e.g., Ollama) to test basic chat and RAG.
2. **Define a plan** – Use the declarative YAML/JSON DSL to model the desired multi‑step workflow (e.g., retrieve docs → summarize → trigger a build).
3. **Integrate tools** – Register external commands or HTTP endpoints as MCP tools; the platform will handle prompt injection and result parsing automatically.
4. **Scale** – Deploy the agent runner as a background service on developer workstations or on a self‑hosted server for team‑wide usage; version the plan definitions in Git for CI/CD.

**Production Readiness**

• **Activity & community**: 107 ★, 14 forks, recent commits (as of 2026‑05‑14) and a growing set of topics indicate an active project.
• **Stability**: The Kotlin codebase is mature, with clear API/SDK boundaries and a CLI that can be scripted in CI pipelines.
• **Ecosystem fit**: Straightforward integration with major LLM providers and local runtimes (Ollama, LM Studio) makes it suitable for both cloud‑agnostic and on‑prem environments.
• **Risks**: Licensing, security hardening, and long‑term maintainer commitment still need a final review, but no major metadata concerns have been identified. Overall, askimo‑ai/askimo is ready for a serious pilot in production‑grade settings.

Problem

askimo-ai/askimo helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

Local-first AI agent platform for desktop and CLI. Chat, RAG search, multi-step Plans workflows, MCP tools, and Agents integration. Supports OpenAI, Claude, Gemini, Grok, Ollama, LM Studio and more

Source