Willder

Willder is a multi-agent platform where agents are configured with distinct roles, tool access, and memory scopes, then coordinated through a shared knowledge graph. The core workflow runs in five steps: configure each agent’s permissions, run a research agent that writes signals into shared memory, let downstream agents pick up that context without re-briefing, review every proposed action in an approval inbox, and watch the memory graph compound across runs so each subsequent campaign starts sharper than the last. The vendor states average agent run time from cold research to a drafted email is 20 seconds, and bulk outreach benchmarks at 150-plus prospects per hour with five agents running in parallel.

The differentiating layer is the memory architecture. Rather than embedding-based similarity search, Willder stores facts as structured nodes in a knowledge graph with explicit relationships, timestamps, and source attribution. The vendor claims this yields up to 35% more precise retrieval compared to vector-only approaches, referencing a 2025 Lettria cross-sector study. Because retrieval runs locally, there are no per-call embedding costs — a meaningful difference for teams running high-volume outreach at scale.

Willder fits teams running coordinated sales or research workflows who need strict audit trails and a default-deny permission model — the access control layer is structural, not trust-based, with scoped tokens and an immutable log on every memory access. Where it breaks: the concurrency cap is five agents, and the docs describe no path to horizontal scaling beyond that. Teams that need more parallelism, self-hosted deployment for data residency, or complex branching logic across more than a handful of agent roles will find the platform’s current surface area too narrow. Those teams typically move to platforms that expose the underlying agent graph for custom orchestration.

The platform is in early access, with no self-hosted option described anywhere in the vendor’s documentation. The free Pilot tier is limited to one seat and one agent; additional memory episodes beyond plan allocations are a paid-only feature, billed per episode.