# Nasiko-Labs/nasiko

Developer Control Plane for your AI Agents

Repository: https://github.com/Nasiko-Labs/nasiko
Canonical: https://ross.abutalabs.com/products/nasiko
Homepage: https://www.nasiko.com
Language: Rust
License: NOASSERTION
License Family: other
Topics: agent-security, ai, ai-agents, cli, hacktoberfest, llms, mcp-gateway, multi-agent, rust, tokenomics, tokenops
Last push: 2026-08-25T11:39:08+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 38, longevity 14
- inputs: {"age_days": 202, "days_push": 8, "days_rel": 202, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5330, forks 1228 (observed 2026-08-28T04:09:15.745306+00:00)

## What it is
Nasiko is a developer control plane for AI agents, built in Rust, that lets teams deploy, route, secure, and observe A2A-speaking agents with a single command. It combines a CLI for building and deploying agents with a dashboard for governance, access control, cost tracking (TokenOps), tracing, and multi-agent workflow orchestration.

## Use cases
- track and forecast AI agent spend per agent and per model
- enforce access control and policies on what agents can touch
- route requests to the right agent across models and providers
- connect agents to MCP servers and tools with scoped permissions
- trace every agent interaction with cost attached
- orchestrate multi-agent workflows across frameworks
- deploy and version agents from the CLI
- monitor agent reliability, retries, and provider failovers

## When to choose
- you run many production AI agents and need centralized governance, routing, and observability
- you need cost forecasting and budget enforcement for LLM usage across teams
- you want agent-to-agent calls proxied through a control plane for tracing and flow limits
- you need scoped MCP tool access and secrets injection per agent

## When to avoid
- you only run a single simple agent or chatbot with no governance needs
- you want a lightweight local agent framework without a hosted control plane
- you need a fully self-contained open-source stack and cannot accept the non-standard license
- your stack does not speak A2A or MCP protocols

## Facets
- artifact type: service
- maturity: active
- function: agent-framework, mcp, api-gateway, monitoring, secrets-management, authorization, cli, analytics, tracing, rate-limiting
- domain: large-language-models, developer-tools, security, monitoring, self-hosted
- platform: rust, cli, self-hosted, cross-platform
- tags: tokenops, a2a-protocol, agent-governance, multi-agent-orchestration, cost-tracking, agent-registry, control-plane, llm-spend-management, ai-agents, docker, web-server

## Member repositories
- Nasiko-Labs/nasiko (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:15.745306+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:58:52.853358+00:00, confidence not recorded.
  - readme: https://github.com/Nasiko-Labs/nasiko (fetched 2026-08-28T04:09:15.745306+00:00, sha 156984dd2ac9)
  - homepage: https://www.nasiko.com (fetched 2026-08-29T08:53:26.795717+00:00, sha ef252b46144d)
  - site_page: https://docs.nasiko.com/ (fetched 2026-08-29T08:53:26.800007+00:00, sha 3e9f8a0fc585)
  - site_page: https://docs.nasiko.com/quickstart (fetched 2026-08-29T08:53:26.801452+00:00, sha 525ea9a8ec21)
  - site_page: https://www.nasiko.com/company (fetched 2026-08-29T08:53:26.798509+00:00, sha dbb1ccef9d71)
- Data as of 2026-08-30T08:39:29.467469+00:00.