30 Days of PRO Features FREE!

Hosted MCPReview QueueTranscript ImportCross-Session Memory
Durable infrastructure for coding agents

Give your coding agents tools they can reuse tomorrow

Snipara gives Claude Code, Cursor, OpenAI, OpenClaw, and custom clients one hosted MCP surface, reviewed memory, transcript import, and automation workflows that stay durable across sessions.

Verified

One hosted MCP surface for Claude Code, Cursor, OpenAI, OpenClaw, and custom clients

Verified

Reviewable memory from commits, transcripts, session summaries, and grounded runs

Verified

A thin edge runtime for hooks and local adapters without hiding how memory was created

Runtime Loop

Hosted MCP, memory, automation

Live MCP
1
Client
Your coding interface

Claude Code, Cursor, OpenClaw, OpenAI, or your own runtime.

2
Hosted MCP
Shared tool contract

102 tools exposed through one endpoint instead of one-off adapters.

3
Thin Edge
Local signal capture

Hooks and compatibility CLIs normalize local lifecycle events and forward them upstream.

4
Review Queue
Durable memory gate

Candidates stay inspectable before they become reusable project state.

5
Automation
Continuity workflows

Session preload, commit capture, journals, and policy-controlled persistence.

102
tools exposed
1 queue
memory review gate
24/7
automation path
Why this matters

Continuity should survive the model, the client, and the session

Snipara is not another prompt wrapper. It keeps the tool contract stable, treats memory as reviewable state, and gives automation a safe path into the next run.

102
Hosted MCP tools
1
Reviewable memory inbox
3
Memory sources in the loop
24/7
Automation-ready workflows

See What Changes When Your Agent Has Tools and Memory

Same client, same model, same task. The difference is whether your agent can use Snipara's hosted MCP and reviewed project memory.

Left: no project tools, no reviewed memory. Right: grounded retrieval, reviewed memory, and automated validation.

Task

"Continue the auth work using our JWT conventions and existing refresh-token behavior."

No Snipara
No MCP tools or reviewed memory
With Snipara
Hosted MCP + reviewed memory
Hosted MCP pipeline will start...
Memory workflow

A review loop for durable project memory

Snipara does not treat chat history as truth. It captures useful signals, routes them through review, and loads only the validated parts back into future runs.

Outcome

Durable memory becomes an explicit system, not a side effect of whatever the last agent said.

Explore Agent Memory
1
Capture

Ingest the signals your agents already produce

Commits, transcripts, session summaries, grounded retrieval runs, and workflow hooks can all become review candidates instead of disappearing into chat history.

commit hook -> review candidate
transcript import -> inbox draft
session summary -> pending memory
2
Review

Keep memory durable without making it blind

Snipara gives you a queue, evidence links, verification, supersession, and invalidation so durable memory stays useful when reality changes.

verify or reject candidates
attach evidence and sources
supersede stale decisions safely
3
Reuse

Load the right project memory into the next run

Clients can preload reviewed memory, query journals and decisions, and reuse validated conventions across sessions, teammates, and agent swarms.

session preload from reviewed memory
decisions and journals available by tool
shared continuity across agents

Connect the clients you already use

Hosted MCP is the default path. Use the Python SDK when you want tighter control, and keep installers like OpenClaw aligned to the same backend contract.

Claude
Claude Code
Cursor
OpenAI
OpenAI
VS Code
OpenClaw
Python SDK
Claude Code
claude mcp add snipara \ --header "X-API-Key: YOUR_API_KEY" \ https://api.snipara.com/mcp/YOUR_PROJECT_ID
Cursor
{ "mcpServers": { "snipara": { "type": "http", "url": "https://api.snipara.com/mcp/..." } } }
OpenClaw
npx snipara-openclaw-install # installs: # - hosted MCP # - memory hooks # - swarm tooling
Python SDK
from snipara import Snipara async with Snipara() as s: result = await s.query( "load auth decisions" )

The product surface, without the noise

Snipara is no longer just about shrinking context windows. The core surface is hosted MCP, reviewable memory, and automation that helps teams keep continuity without losing control.

Core

Hosted MCP

Expose the current 102-tool contract through one hosted endpoint instead of managing separate wrappers per client.

Agents

Reviewable Memory

Memory candidates stay inspectable, reversible, and evidence-backed before they affect future sessions.

Agents

Transcript Import

Bootstrap durable memory from chat history without dumping raw transcripts into long-term state.

Automation

Automation Hooks

End-of-task capture, commit workflows, journals, and tenant-level automation can all run through a thin edge runtime with review policies kept in the hosted core.

Team+

Group Memory

Share verified conventions across teams so every new agent starts with project-aware continuity.

Team+

Swarm Coordination

Use shared state, hierarchical tasks, and agent-safe coordination on top of the same grounded memory layer.

All Plans

Shared Context

Keep standards, references, and common patterns discoverable across workspaces and collections.

New

SDKs and Installers

Connect through hosted MCP, the Python SDK, client installers, and optional thin edge adapters for local hook capture.

Pro+

Workflow Events

Emit notifications when indexing, recall, review, and automation events happen so external systems stay in sync.

New

Hierarchical Tasks

Plan work across initiatives, features, workstreams, and tasks with evidence-aware completion rules.

Automation

Workspace Profiles

Preload workspace defaults, tenant preferences, and automation policies so each new session starts in the right operating mode.

Agents

Decision History

Keep verified decisions, supersession trails, and rationale queryable before an agent reuses a convention in production.

What teams automate with Snipara

The common pattern is simple: keep retrieval grounded, let automation propose durable memory, and keep a review loop between raw agent output and long-term project state.

Continuity

End-of-task commit

Save reusable project knowledge when an agent finishes meaningful work, instead of relying on the next chat to reconstruct context.

rlm_end_of_task_commit({ summary: "Auth flow updated to use RS256", remember_if_novel: true })
Review

Transcript bootstrap

Import transcripts into an inbox so a human or policy can decide what deserves durable memory and what should stay ephemeral.

transcript import -> review queue -> verify / reject -> durable memory
Thin Edge

Canonical event forwarding

Normalize local hook activity into canonical events so Snipara can inspect automation without moving review logic into shell scripts.

tool_call / tool_result / session_end -> automation/events -> reviewable hosted continuity
Automation

Session preload

Load reviewed memory, tenant profiles, and journals at session start so your client begins with validated project context.

session start -> load reviewed memories -> load tenant profile -> resume with continuity

Start with MCP, add agents when continuity matters

Most teams start by connecting the hosted MCP surface. Add agents when you want reviewable memory, transcript import, and automated continuity across sessions.

The point is not to buy more context. It is to give your agents reusable project state without turning that state into an opaque black box.

MonthlyAnnualSave 20%

Grounded context retrieval, RELP decomposition, and cited answers

Free

$0

No credit card required

Includes 30-day PRO boost free

  • 100 queries/mo
  • 1 projects
  • 1 team members
  • Keyword search
  • Token budgeting
  • Session persistence
  • GitHub sync
Get Started
Most Popular

Pro

$19/mo

Most common for solo devs

  • 5,000 queries/mo
  • 5 projects
  • 1 team members
  • Everything in Free
  • Semantic + Hybrid search
  • RELP decomposition
  • Summary storage
Get Started

Team

$49/mo

Shared context across team

  • 20,000 queries/mo
  • Unlimited projects
  • 10 team members
  • Everything in Pro
  • Advanced planning
  • Team context sharing
  • Priority support
Get Started

Enterprise

$499+/mo

For larger teams

  • Unlimited queries/mo
  • Unlimited projects
  • Unlimited team members
  • Everything in Team
  • 99.9% SLA guarantee
  • SSO/SAML support
  • Dedicated support
  • Custom integrations
Contact Us

Persist verified outcomes, route automation into review, and coordinate multi-agent workflows

Starter

$15/mo

Solo devs experimenting

  • 1,000 agent memories
  • 7-day retention
  • Semantic recall
  • Memory inbox + review queue
  • 5-min cache TTL
  • 1 swarm (2 agents)
  • Community support
Get Started
Most Popular

Pro

$39/mo

Teams building workflows

  • 5,000 agent memories
  • 30-day retention
  • Semantic cache (L2)
  • Transcript import bootstrap
  • 30-min cache TTL
  • 5 swarms (5 agents each)
  • Task queue
  • Email support
Get Started

Team

$79/mo

Production multi-agent

  • 25,000 agent memories
  • 90-day retention
  • 2-hour cache TTL
  • Automation policy controls
  • 20 swarms (15 agents)
  • Real-time events
  • 100 pre-warm queries
  • Priority support
Get Started

Enterprise

$199/mo

Large-scale infrastructure

  • Unlimited memories
  • Unlimited retention
  • 24-hour cache TTL
  • Approval workflows + durable audit
  • Unlimited swarms (50 agents)
  • Unlimited pre-warming
  • Dedicated support
  • SLA guarantee
Get Started

Prefer to self-host?

Snipara Server is source-available and deploys with Docker on your own infrastructure when you need full control of runtime and data boundaries.
Self-Host

Need partner or integrator workflows?

Use dedicated workspaces, API keys, and configurable limits when you resell or operate Snipara for clients.
Partner Program

Stop restarting your agents from scratch every session

Connect a hosted MCP endpoint, review what becomes durable memory, and automate the workflows your team repeats every day.