Willder
Summary
Most multi-agent setups collapse the moment two agents need to share what they learned — each run starts from zero, context gets re-explained, and nothing ships without someone manually stitching state together. Willder is built specifically to close that gap.
The platform runs agents on three shared layers: a persistent memory graph, OS-grade access control, and a coordination layer that lets agents hand off work without rebuilding state. A research agent writes findings into shared memory; a drafting agent picks them up without being re-briefed. Every action lands in an approval inbox before it moves — you sign off, nothing ships without you. The vendor states retrieval from the graph-based memory is up to 35% more precise than vector-only search, citing a Lettria cross-sector study. The ceiling appears early: the free tier caps at one seat and one agent, and the concurrency limit is fixed at five parallel agents regardless of plan.
Bottom line: Willder earns its place in sales research and outreach workflows where five parallel agents, a shared memory graph, and a one-click approval inbox replace days of cross-team coordination — but teams that need more than five concurrent agents, or self-hosted deployment for data residency requirements, will hit hard walls that no plan currently removes.
Pricing Plans
Subscription- Price
- $99/mo for Team (first 20 teams at $9/seat locked)
- Free Tier
- 250 memory episodes, 1 seat, 1 agent
Pilot
Free forever
- 250 memory episodes
- 1 seat, 1 agent
- Shared memory graph + access control
- Approval inbox
Team
$9 per seat / month for first 20 teams (locked for life)
- 1,000 episodes per seat / month
- No seat limit on active users
- Full access control + audit log
- All future features included
Scale
For larger teams
- Unlimited seats
- SOC 2 path
- Priority models
- Onboarding partner
View full pricing on willder.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Shared knowledge graph persists across every agent run, so a research agent's findings are immediately available to a drafting agent without any manual state transfer — eliminating the re-briefing overhead that kills multi-agent workflows in tools that store context per-session.
- Default-deny access control with scoped tokens and an immutable audit trail on every memory access, which means compliance and security reviews have a structured log to inspect rather than a trust-based sharing model with no paper trail.
- Approval inbox intercepts every agent action before it executes, so nothing sends to a prospect or modifies shared memory without your explicit sign-off — removing the category of failures where an autonomous agent ships something you never reviewed.
- Graph-based retrieval runs locally with no per-call metering, so high-volume outreach campaigns do not generate compounding API retrieval costs the way vector-search pipelines do.
- Five agents run in parallel on a single campaign, benchmarked by the vendor at 150-plus prospects researched and drafted per hour — which means a workflow that previously occupied a meaningful fraction of a sales rep's day runs unattended.
Cons
Sign in to edit- The concurrency cap is fixed at five parallel agents, measured on Willder's own infrastructure. Teams running enterprise-scale outreach across dozens of simultaneous campaigns cannot exceed this ceiling on any current plan — and because there is no self-hosted option, there is no workaround available. Those teams move to platforms that expose horizontal scaling or allow on-premises deployment.
- There is no self-hosted deployment path. Teams with data residency requirements, air-gapped environments, or policies that prohibit sending prospect data to a third-party SaaS cannot use Willder at all — the vendor's page describes no containers, no on-premises installer, and no private cloud option.
- The platform is in early access, which means the agent configuration surface, memory schema, and API contract are subject to change without the stability guarantees a production workflow requires. Teams building repeatable sales infrastructure on top of it carry the maintenance risk of an evolving spec.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-02T20:29:05.725Z
Best For
Who it's for
- Teams running multiple coordinated AI agents
- Users requiring strict access control and audit trails
- Sales or research workflows needing human approval gates
What it does well
- Sales outreach research and email drafting
- Coordinated multi-agent research with shared context
- Human-in-the-loop approval for agent actions
- Building persistent team knowledge across agent runs
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Frequently Asked Questions
- Is Willder free?
- Willder has a permanent free tier alongside paid upgrades (paid plans from $99/mo for Team (first 20 teams at $9/seat locked)). You can keep using a baseline version indefinitely without paying.
- Is Willder open source?
- No — Willder is a closed-source tool. Source code is not publicly available.
- What platforms does Willder support?
- Willder is available on: Web.
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Curated lists that include this category
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.