AI governance infrastructure for agentic systems. Rust library behind systemprompt.io — MCP, A2A, OAuth2, audit trails, compile-time extensi...
#ai-agents
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The verifiable memory cortex for AI agents: a semantic graph and vector search with zero-knowledge provenance.
Lightweight AI agent library. Turn Python functions/classes into AI tools instantly. No verbose configs or complex abstractions.
Fastn MCP server — give AI agents governed, audited access to integrations and tools across your customers' systems of record.
Open-source platform for token-efficient AI agents. Self-host with docker compose up.
A language-agnostic debugging interface for AI agents.
Security-oriented three-axis observability for sandboxed AI agents: model intent, app context, and runtime telemetry into verifiable evidenc...
Local-first, eval-first memory for long-horizon AI agents — no LLM at ingest. Python SDK + MCP server with source-traceable recall, belief r...
For an organization to trust AI with its code, three things must hold — trust, traceability, and stability at scale. cladding wraps your AI...
Cognitive memory for LLM agents — local-first, and shareable across a team through the cloud.
🦞 Free, local, read-only security self-audit for your own OpenClaw AI-agent setup. Scores it A–F, surfaces the urgent holes, emits copy-pas...
Open-source managed-agent platform with Docker Compose local runtime/sandbox pools, sessions, vaults, SDK, CLI, and provider adapters.