30 Days of PRO Features FREE!5,000 queries + semantic search + agent memory included with every new account.

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.

Connect Your Client Explore MCP Tools

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

Client

Your coding interface

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

Hosted MCP

Shared tool contract

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

Thin Edge

Local signal capture

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

Review Queue

Durable memory gate

Candidates stay inspectable before they become reusable project state.

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

Reviewable memory inbox

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

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

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

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 Code

Cursor

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"
    )

View All Integrations

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

Read Automation Docs

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.

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Grounded context retrieval, RELP decomposition, and cited answers