Show HN: Kashkeshet – non-opinionated agent-to-agent chat MCP server in Rust
This is hardly a greenfield area. There are tons of agent-to-agent communication apps. But, at least to my taste, a lot of them are too complicated or too opinionated. If we learned anything from the HuggingFace incident, it's that modern AI agents don't need a lot of help communicating. They are smart and creative and figure it out. So...with that in mind, I (meaning I + claude and friends) built kashkeshet, or kkt. It's a small, Rust-based MCP server that gives agents a few simple chat primiti
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Recorded metrics
points · 2 votes
2026-10-27 12:45:23.150Z
cumulative since publication
Research analysis
Project record
Repository: sam-mfb/kashkeshet. Source account: This is hardly a greenfield area. There are tons of agent-to-agent communication apps. But, at least to my taste, a lot of them are too complicated or too opinionated. If we learned anything from the HuggingFace incident, it's that modern AI agents don't need a lot of help communicating. They are smart and creative and figure it out. So...with that in mind, I (meaning I + claude and friends) built kashkeshet, or kkt. It's a small, Rust-based MCP server that gives agents a few simple chat primiti
Observed adoption & comparisons
Source votes: 2 votes (Oct 27, 2026 UTC; cumulative since publication); previous same-scope observation: 2 (Oct 27, 2026 UTC). These observations do not establish demand growth. Recent records to compare: “Show HN: Cerea – yet another self-hosted LLM chat front end” (Show HN, Nov 5, 2026); “Show HN: Lantern Lattice – the call graph from your compiler, for coding agents” (Show HN, Nov 5, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
Adoption decision
Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.
Unverified requirements
Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.
Next test
Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.