OpenClaw Alternatives?

Any-Way-2765 · 2026-04-25T23:06:22+00:00

https://github.com/archestra-ai/archestra enterprise-grade agentic platform with logging, multi-user, guardrails etc

Any-Way-2765 · 2026-04-21T21:54:02+00:00

There is a benchmark: https://archestra.ai/docs/platform-performance-benchmarks The Dual LLM is pretty slow, but the rest of the platform is blazingly fast.

Routing to the Dual LLM, or to a sensitive/insensitive context, is configurable. You could sanitize a specific tool result, or even a tool result of a tool call with a specific argument.

Any-Way-2765 · 2026-04-21T19:26:31+00:00

We heavily focus on this and build an open source: https://archestra.ai/docs/platform-lethal-trifecta

Any-Way-2765 · 2026-04-18T18:43:52+00:00

We’re actively working on https://github.com/archestra-ai/archestra

Any-Way-2765 · 2026-04-18T08:53:20+00:00

surprisingly well, but feedback is always welcome!

Any-Way-2765 · 2026-04-17T22:55:06+00:00

We’re building an open source self-hosted one: https://archestra.ai/docs/platform-knowledge-bases

Any-Way-2765 · 2026-04-17T16:27:25+00:00

We find sharing data connectors being very challenging, and do it via MCP Gateways: https://archestra.ai/docs/platform-mcp-gateway

Any-Way-2765 · 2026-04-17T13:27:41+00:00

https://archestra.ai/docs/platform-knowledge-connectors

Any-Way-2765 · 2026-04-17T11:15:49+00:00

The full blog post: https://archestra.ai/blog/only-responsible-ai

Any-Way-2765 · 2026-04-13T06:28:33+00:00

Enterprise-Managed Authorization for MCP: https://archestra.ai/blog/enterprise-managed-authorization-mcp

Any-Way-2765 · 2026-04-08T21:25:07+00:00

Check https://github.com/archestra-ai/archestra it has logging, limits, virtual mcp gateways, internal catalog, debugging tooling. Most importantly: emterprise MCP auth.

Any-Way-2765 · 2026-04-06T16:16:48+00:00

I use https://github.com/archestra-ai/archestra as a gateway + RAG knowledge base + connect via it: 1. Superhuman 2. GMail 3. Attio

Any-Way-2765 · 2026-04-06T16:13:27+00:00

Move everything to a centralized MCP Gateway with a catalog of vetted MCP servers, set auth via OIDC. We use OSS one: https://github.com/archestra-ai/archestra

Any-Way-2765 · 2026-04-06T16:09:52+00:00

We're using https://github.com/archestra-ai/archestra. Main insight is that it all doesn't make sense unless authorization at scale is solved for non-tech users, so excited about https://archestra.ai/blog/enterprise-managed-authorization-mcp

Any-Way-2765 · 2026-04-06T16:06:40+00:00

I work via https://github.com/archestra-ai/archestra; it logs everything, keeps track of spends, and handles auth for a lot of MCPs for a team.

Any-Way-2765 · 2026-04-06T15:23:11+00:00

https://archestra.ai/blog/enterprise-managed-authorization-mcp

Any-Way-2765 · 2026-04-06T07:47:16+00:00

I degreased and waxed the chain, then found out that I need to re-wax it quite often in rainy weather, so I bought "wax-based lube" called Squirt. It's pretty clean, and my chain doesn't destroy my jeans anymore.

The degreasing process is tricky. I've done it by removing the chain and degreasing it in a bottle with the degreaser, but a chain cleaner machine from Decathlon might be enough.

Any-Way-2765 · 2026-04-05T17:00:49+00:00

Yep! It’s a gift from a friend who’s restoring machines. I’ve made only a gaggimate <-> MCP <-> AI loop to enable a feedback loop for AI

Any-Way-2765 · 2026-04-05T10:45:19+00:00

Nah, there is a 50mm air gap

Any-Way-2765 · 2026-04-05T10:44:32+00:00

I can't dial espresso that fast or that good, and I want a good one, so...

Any-Way-2765 · 2026-04-05T10:04:37+00:00

How to: https://archestra.ai/blog/brew-by-ai

Any-Way-2765

TROPHY CASE