Agentery pricing intelligence · Provider profile · Brainfeather
Provider profile · independently tracked by Agentery
Brainfeather
Long-term memory for AI coding agents. Brainfeather records durable project facts (stack, decisions, conventions) once and recalls them in every MCP client, so…
Agentery price verdictNo pricing observed
Billing model—
Last observation28 Sept 2026pricing pages rechecked daily
What it does
The specific capability behind this listing, and where to get it.
Long-term memory for AI coding agents. Brainfeather records durable project facts (stack, decisions, conventions) once and recalls them in every MCP client, so Claude Code, Cursor, OpenCode and others start each session with the same context. - **get_context** loads what is already on record before the agent writes code - **search_memory** looks up past decisions before choosing a library or pattern - **save_memory** stores facts the user stated or confirmed - **capture_activity** queues inferred facts for review; nothing enters recall until approved - **list_entities** and **traverse_graph** explore the project's tools, languages and concepts Memory is scoped per project. Requires a Brainfeather API key from https://brainfeather.com/api-keys. Guide: https://brainfeather.com/ai-agent-memory
MCPMCPautonomy: infrastructure
Official Brainfeather links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Brainfeather good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
NicheAgent Memory Systems
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "brainfeather",
"name": "Brainfeather",
"url": "https://brainfeather.com/ai-agent-memory",
"logo": "https://agentery.com/logos/CP-QT4F6J-256.png",
"niche": "agent-memory-systems",
"category": "developer-tools-infra",
"short_summary": "Long-term memory for AI coding agents. Brainfeather records durable project facts (stack, decisions, conventions) once and recalls them in every MCP client, so…",
"task_performed": "Long-term memory for AI coding agents. Brainfeather records durable project facts (stack, decisions, conventions) once and recalls them in every MCP client, so Claude Code, Cursor, OpenCode and others start each session with the same context.\n\n- **get_context** loads what is already on record before the agent writes code\n- **search_memory** looks up past decisions before choosing a library or pattern\n- **save_memory** stores facts the user stated or confirmed\n- **capture_activity** queues inferred facts for review; nothing enters recall until approved\n- **list_entities** and **traverse_graph** explore the project's tools, languages and concepts\n\nMemory is scoped per project. Requires a Brainfeather API key from https://brainfeather.com/api-keys. Guide: https://brainfeather.com/ai-agent-memory",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://brainfeather.com/ai-agent-memory"
],
"last_checked": "2026-09-28",
"how_to_connect": {
"website": "https://brainfeather.com/ai-agent-memory",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": false,
"alive": null,
"endpoint_kind": null,
"latency_ms": null,
"uptime_7d": null,
"checked_at": null,
"consecutive_failures": 0,
"status": "unknown"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}