Rust implementation of the Agent URI scheme for topology-independent agent identity and capability-based discovery
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Updated
Aug 7, 2026 - Rust
Rust implementation of the Agent URI scheme for topology-independent agent identity and capability-based discovery
DeepSeek Harness 多源能力发现、排序与风险检查|Multi-source capability discovery, ranking, and risk inspection for plugins, skills, MCP servers, and agents.
Runtime capability discovery + type-safe service composition protocol. Bare-by-default, zero-config, structural-fit. Extracted from hyperpolymath/standards 2026-05-28.
Teach your AI agent to acquire capabilities on its own - find existing skills before building one (Claude Code / any LLM)
Capability-typed registry that discovers your local CLI fleet and serves it to AI agents over MCP and A2A — health-checked tools, outcome-driven chain planning, and a computed call-graph. Language-agnostic, local-first, Apache-2.0.
Capability discovery + auto-wiring for agent toolchains: discover what each tool emits/consumes, then wire producer to consumer into a runnable pipeline. Every edge cites its evidence. Zero deps.
Codex Agent Skills package for capability discovery, MCP registry search, skill benchmarking, dynamic tool integration, and safe test-time tool synthesis.
MCP-native service registry with capability discovery and health checks — single Go binary, SQLite, zero-dependency Docker deploy.
Open adapter interface for Unrounded: define a harness by transport, command, auth, and a capability probe.
Read-only local capability and community plugin discovery for DeepSeek Harness
Compose complementary local AI-agent capabilities with explainable lexical coverage and explicit gaps.
Agent Identity URI Scheme: Topology-Independent Naming and Capability-Based Discovery for Multi-Agent Systems
⚡ AI-powered capability discovery platform running NLP gap-analysis against live job market requirements.
Point agents to where capabilities live. Providers declare, Signpost resolves, the agent does the rest. WebMCP native.
Cloud SPE work ledger for its portion of Livepeer's Network Engineering SPE: assigned tasks, deliverables, dependencies, evidence, and cross-project handoffs.
Local-first capability discovery for AI coding tools. Model provider-owned capabilities and expose them through your own API or MCP.
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