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Snipara

Shared project memory for coding agents — decisions, active work, impact and proof served to every agent over a hosted MCP endpoint

freemiumFree is $0 forever with 1 seat, 3 projects, 1,000 queries/month, 500 memories and 1 swarm, including hosted MCP and API access, reviewed memory and handoffs, and code graph, symbol card and impact checks; new signups also get 30 days of Pro free with no card. Solo is $9/month or $7.20/month billed annually: 1 seat, 5 projects, 5,000 queries/month, 1,500 memories, 2 swarms. Pro is $49/month or $39.20/month billed annually: 1 seat, 25 projects, 25,000 queries/month, 10,000 memories, 8 swarms. Annual billing saves 20%. Every plan includes the same core loop — project context, reviewed memory, hosted MCP, API access, code graph checks and workflow continuity — with paid tiers adding capacity, projects and team governance. The server is source-available under FSL-1.1-Apache-2.0 for self-hosting.View full pricing →

About Snipara

Snipara is a shared project-memory layer for teams whose code is increasingly written by coding agents that each start from zero. Its premise is that the expensive failure is not a bad edit but a cold agent: a session that has no idea what was decided last week, what is actively in flight, which parts of the repository a change touches, or what verification a similar change required. Snipara indexes that history — decisions, active work, impact and outcomes — and serves it as a Project Brain that every agent reads before its first edit, so context persists and compounds instead of being re-explained per session and per tool. It connects to repositories, docs and the tools a team already uses, keeps state current in real time as people and agents change things, and keeps an audit trail that traces why a decision was made and what happened after. A code graph with symbol cards and impact checks makes the scope of a proposed change explicit rather than inferred. Access is through a hosted MCP endpoint, a REST API, a GitHub App that syncs repositories and produces PR answer packs, and multi-agent primitives for coordinating swarms, claims, state and events. An optional local Companion CLI acts as a lead-engineer layer, turning project intelligence into scoped plans, routing guidance and proof requirements before an agent executes, and the server itself is published on GitHub under FSL-1.1-Apache-2.0 for teams that want to self-host.

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Key Features

Project Brain: decisions, active work, impact and next step read before the first edit
Hosted MCP endpoint plus REST API and a GitHub App with PR answer packs
Code graph with symbol cards and impact checks scoping every change
Multi-agent coordination: swarms, claims, shared state and events
Source-available server (FSL-1.1-Apache-2.0) for self-hosted deployments

Tags

ai-agentsmcpmemorygithubsource-available
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