BacklogHQ Pricing 2026
Complete pricing guide for BacklogHQ — plans, costs, and free options.
💰 BacklogHQ Pricing Overview
BacklogHQ uses a free pricing model. Completely free to use with no paid plans. Current pricing: Both projects are open source with no paid tier published anywhere on the site — there is no pricing page and no commercial plan. Install from npm and run locally; the only stated requirement is Node.js, since there are no native binaries or external databases. BacklogHQ is an ai agent infrastructure tool known for pure-typescript, mcp-first infrastructure for ai agents — an embedded agent database with runtime-discoverable schemas and vector search, plus session-surviving task management for claude code. BacklogHQ is free to use, with no paid plans.
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🔍 Compare Before You Buy
See all 5 alternatives →Comparing BacklogHQ to similar tools helps you make the best choice for your budget and needs:
CMEM
FreemiumOpen-source memory for AI coding agents, mirrored to a private cloud MCP link
Starting at claude-mem itself is open source and free (`npx claude-mem install`). CMEM Cloud sells a Pro plan with Team reservable, but the pricing page renders its plan figures client-side and returns no readable table to a plain fetch, so no price is quoted here.
Compare with BacklogHQ →Laminar
FreemiumOpen-source agent observability where plain-English Signals catch failures you never instrumented
Free plan + paid from $5
Compare with BacklogHQ →AgentLed
PaidWorking layer for coding agents — inbox, memory, 100+ integrations, approvals, one credit pool
Starting at $15 one-time
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Claim Now →Is BacklogHQ Free?
BacklogHQ is completely free to use. There are no hidden costs, no premium tiers, and no paywalls. Everything the tool offers is available at no charge, making it accessible to individuals, students, and organizations of all sizes.
Check BacklogHQ pricing at the source
The breakdown above is our summary of BacklogHQ's published pricing, not a quote. Plans, limits and what each tier includes change without notice — confirm on BacklogHQ's own pages before you buy.
Official BacklogHQ site ↗We do not represent BacklogHQ and these links are not paid placements.
Is BacklogHQ Worth It?
BacklogHQ is a free ai agent infrastructure tool that offers 5 key features including AgentDB — embedded AI-first database with runtime-discoverable persisted schemas, HNSW vector search, blob storage and real-time subscriptions exposed as MCP tools, Backlog — task management whose tasks survive across agent sessions. BacklogHQ is a small suite of pure-TypeScript, zero-native-dependency components built to be used by AI agents as infrastructure rather than by humans through a UI. Two projects sit under it. AgentDB is an embedded database designed for LLM agents: schemas are persisted so an agent can discover them at runtime instead of being told about them in a prompt, and it ships HNSW vector search, blob storage and real-time subscriptions, all exposed as MCP tools. Backlog is persistent task management for Claude Code, where the point is that tasks outlive a single session — work started by one agent can be picked up later by another, and the whole thing is surfaced both as MCP tools and as Claude Code skills. The stated design principles explain the shape of both: agent-first, meaning the MCP servers and declarative schemas were written for how agents actually behave rather than retrofitted from human-facing libraries; zero native dependencies, so it runs anywhere Node.js does with no native binaries and no external database to stand up; and crash-safe by default, via an append-only write-ahead log, immutable snapshots and undo. For anyone building long-running agent workflows, the session-survival property is the differentiator — most agent memory disappears when the process does.
✅ BacklogHQ is a good choice if you need:
- •AgentDB — embedded AI-first database with runtime-discoverable persisted schemas
- •HNSW vector search, blob storage and real-time subscriptions exposed as MCP tools
- •Backlog — task management whose tasks survive across agent sessions
- •Ships as both MCP tools and Claude Code skills
- •Pure TypeScript, zero native dependencies, append-only WAL with immutable snapshots
💡 Value Assessment
BacklogHQ is free, so it costs nothing to try it for ai agent infrastructure work. There are no paid plans to compare.
BacklogHQ Key Features
BacklogHQ comes packed with features that make it a strong contender in the ai agent infrastructure space. Here's what you get:
AgentDB — embedded AI-first database with runtime-discoverable persisted schemas helps you work more efficiently with BacklogHQ.
Search and browse capabilities help you find what you need quickly.
Backlog — task management whose tasks survive across agent sessions helps you work more efficiently with BacklogHQ.
Ships as both MCP tools and Claude Code skills helps you work more efficiently with BacklogHQ.
Pure TypeScript, zero native dependencies, append-only WAL with immutable snapshots helps you work more efficiently with BacklogHQ.
BacklogHQ Alternatives & Their Pricing
Considering alternatives to BacklogHQ? Here's how competing tools compare on pricing:
CMEM
FreemiumOpen-source memory for AI coding agents, mirrored to a private cloud MCP link
Pricing: claude-mem itself is open source and free (`npx claude-mem install`). CMEM Cloud sells a Pro plan with Team reservable, but the pricing page renders its plan figures client-side and returns no readable table to a plain fetch, so no price is quoted here.
Laminar
FreemiumOpen-source agent observability where plain-English Signals catch failures you never instrumented
Pricing: Free is $0/month with 1 GB of data and no overage, $5 in Signals with no overage, 7-day retention, 1 project, 1 seat and community support. Starter is $30/month with 3 GB included then $2/GB, $15 in Signals then $0.5 per 1M input and $3 per 1M output tokens, 30-day retention, unlimited projects and seats and email support. Pro is $150/month with 10 GB included then $1.50/GB, $50 in Signals then $0.4 per 1M input and $2.5 per 1M output tokens, 6-month retention, unlimited projects and seats and Slack support. Enterprise is custom with on-premise deployment and dedicated support. SOC 2 Type II, HIPAA and server-side PII removal are listed on the paid tiers.
AgentLed
PaidWorking layer for coding agents — inbox, memory, 100+ integrations, approvals, one credit pool
Pricing: Credit-based with no per-seat fees, on a monthly/annual toggle marketed at roughly 15% off annual. Pro is €23.90 per month for 2,000 credits per month (4,000 on annual), with a 7-day free trial: MCP/CLI server access, Knowledge Graph memory, unlimited workflows, public forms, 100+ integrations through credits, one-time top-ups, the AI workflow builder, 2 workspace members, 1 workspace, 2 snapshots per workflow and community support. Teams is €86.90 per month for 7,000 credits (10,000 on annual), adding white-label branding, unlimited members, 5 workspaces, 10 snapshots per workflow and priority support. Custom is contact-priced and packages credits with on-demand fractional delivery engineering hours, unlimited workspaces, SSO, RBAC, GDPR data residency and an SLA. One-time credit packs are sold to active paid plans at $15 for 1,000, $70 for 5,000 and $130 for 10,000; purchased credits roll over and expire six months after the latest purchase.
LLM Gateway
FreemiumOpen-source OpenAI-compatible gateway routing one API to 200+ models across 40+ providers
Pricing: Free is $0 forever with no credit card, giving access to all 200+ models across 40+ providers, 3 rate-limited free models, bring-your-own-keys, prompt caching, budgets and spend controls, auto-routing and vendor selection, and 30 days of activity-log retention. The platform fee is 5% on credit usage. Enterprise is custom-priced with a 30-day trial, full control plus BYOK, custom routing rules, custom free-model limits, unlimited log retention, team management, advanced analytics and admin controls. Data retention is metered separately: metadata is free, full payload storage is $0.01 per 1M tokens.
Preloop
Open SourceApache-2.0 AI agent control plane — MCP firewall, model gateway, policy-as-code and human approvals
Pricing: The full control plane is free and Apache 2.0 licensed for self-hosting, including the MCP firewall, the AI model gateway with per-agent budgets, policy-as-code in YAML and CEL, human approvals on mobile, Slack, Mattermost and webhook, runtime session observability and audit trail, flow templates, the agent discovery CLI and community support. Teams is $29 per user per month, or $290 per user per year, for Preloop Cloud with hosted management, RBAC and team management, team-based approvals with quorum, CEL conditional approvals and escalation, AI-driven approval suggestions, advanced session optimisation, email support and a 14-day free trial. Enterprise is quoted on request and adds on-prem or private-VPC deployment, dedicated support with an SLA, custom integrations and policy reviews, AI Act readiness assistance and priority roadmap input; SSO, SAML and SCIM are listed as planned.
Ready to try BacklogHQ?
Visit the official website for the latest pricing and to get started.
Frequently Asked Questions
Is BacklogHQ free to use?
Yes, BacklogHQ is free to use. It has no paid plans.
How much does BacklogHQ cost in 2026?
As of 2026, BacklogHQ pricing is: Both projects are open source with no paid tier published anywhere on the site — there is no pricing page and no commercial plan. Install from npm and run locally; the only stated requirement is Node.js, since there are no native binaries or external databases. Visit the official BacklogHQ website for the most current pricing.
What are the best alternatives to BacklogHQ?
Popular alternatives to BacklogHQ include CMEM, Laminar, AgentLed. Each offers different features and pricing structures. Compare them on AISO Tools to find the best fit for your needs and budget.
Is BacklogHQ worth the price?
BacklogHQ offers features like AgentDB — embedded AI-first database with runtime-discoverable persisted schemas, HNSW vector search, blob storage and real-time subscriptions exposed as MCP tools, Backlog — task management whose tasks survive across agent sessions. Whether it's worth the investment depends on your specific needs, usage volume, and budget. It is free, so you can try it at no cost.
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