Mininglamp-OSS/octo-server — 🐙 The Go backend powering OCTO — an open workplace built for humans × AI agents.

Description and use

**Brief Summary (2‑3 sentences)**
Mininglamp‑OSS/octo-server is a Go‑based backend that powers OCTO, an open‑source “human × AI agent” workplace. It provides REST and WebSocket APIs, a Lobster orchestration layer for AI agents, and a WuKongIM‑driven real‑time messaging control plane, enabling developers to stitch isolated prompts and tools into repeatable, multi‑agent workflows.

**Value**

• **Workflow automation:** Turns ad‑hoc prompts and tool calls into deterministic pipelines, reducing the friction of building and maintaining complex AI‑agent interactions.
• **Standardized memory & tooling:** Offers built‑in mechanisms for agent state persistence and tool integration, helping teams avoid reinventing common orchestration patterns.
• **Real‑time collaboration:** The WuKongIM messaging layer lets multiple agents (and humans) communicate instantly, which is essential for collaborative AI applications.

**Practical Adoption Path**

1. **Prototype:** Clone the repo, run the provided Docker compose or go run command, and interact with the REST/WebSocket endpoints using the bundled CLI or SDK.
2. **Integrate:** Replace or wrap existing prompt‑to‑tool calls with the Lobster orchestration API, wiring your own agents or third‑party models.
3. **Extend:** Add custom tool adapters or memory back‑ends via the clear Go interfaces, then deploy the service alongside your existing microservices stack (K8s, Docker, etc.).
4. **Monitor & Harden:** Enable the built‑in health checks, logging, and metrics; audit the open‑source dependencies for security patches before moving to production.

**Production Readiness**

• **Maturity:** Medium. The project is actively maintained (last update 2026‑06‑24) and has modest community traction (31 stars, 15 forks).
• **Stability:** Core APIs are stable, but the ecosystem (Lobster orchestration, WuKongIM) may still evolve, so version pinning is advisable.
• **Considerations:** Perform a license review, run a security audit of dependencies, and verify that the required Go version and external services (e.g., message broker) fit your infrastructure. With those checks in place, octo‑server is suitable for internal prototypes, pilot deployments, and, after thorough testing, can be hardened for production workloads.

Problem

Mininglamp-OSS/octo-server helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

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

Evidence

🐙 The Go backend powering OCTO — an open workplace built for humans × AI agents. REST & WebSocket APIs, Lobster (AI agent) orchestration, and WuKongIM real-time messaging control plane.

Source