Aisha
Free
Users seeking culturally grounded AI responses
PushContext
PaidSelf-Hosted
Engineering teams spend hours relitigating decisions that were already made in a Slack thread four months ago — because that thread is gone, the person who made the call has moved teams, and nobody wrote it down. PushContext is a decision memory layer that intercepts that moment before the rework starts.
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Screenshots 4
Summary
PushContext sits between your existing tools — Slack, Jira, GitHub, Google Workspace — and surfaces prior decisions inline, during live discussions, before the team goes in circles again. The Push mechanism fires when a Slack thread hits a three-message maturity gate, returning matched prior decisions with provenance in under one second. Recall lets anyone ask 'what did we decide about X?' and get a structured answer, not a search dump. The Graph mechanism maps how decisions connect and conflict over time. Where this model strains is in organizations with inconsistent documentation hygiene — if decisions were never captured in the connected tools, the memory layer has nothing to surface.
Bottom line: Pick PushContext for engineering or SRE teams where repeated Slack debates and incident rework are measurable costs; reconsider if your organization's decisions live primarily in tools outside the current integration set, since the recall quality is a direct function of what's already been ingested.
Find your fit
Before you choose PushContext
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AI Assist
Freemium
Users prioritizing on-device processing and data privacy
Pros
- Push surfaces prior decisions inline during live Slack threads before the team has time to rework a settled question, which means the cost of institutional amnesia shows up in the thread rather than in a sprint retrospective.
- Recall returns structured answers with provenance rather than a list of documents to dig through, so the engineer asking 'why did we pick Postgres over MySQL' gets the decision record, not a link to a 200-message thread.
- Entity-level vector memory with no raw message storage means security and compliance reviews have a smaller surface to audit, which removes a common blocker for enterprise adoption of any AI memory layer.
- Graph-based contradiction detection maps when two decisions conflict before someone builds on top of the wrong one, so architecture drift gets flagged at capture time rather than at code review.
- VPC and on-prem deployment options are available, so teams that cannot send data to a shared cloud tenant are not forced to choose between the tool and their data residency requirements.
Cons
- The recall quality is bounded entirely by what has already been captured in connected tools — if your team's real decisions live in Notion, Confluence, Linear, or Asana, none of those integrations are available yet, and the memory layer will surface an incomplete picture; teams in this situation either wait for the integrations or accept a degraded signal that makes the tool harder to trust in high-stakes moments.
- SOC 2 Type II and ISO 27001 certifications are described as on the roadmap, not completed — security-gated procurement processes at regulated enterprises will stall until those audits close, at which point teams in those verticals will have evaluated and potentially committed to a certified competitor.
- The Push mechanism operates on a passive, rule-based maturity gate rather than on judgment about whether a conversation is actually decision-bearing — teams with high Slack volume and loosely structured discussions will generate surface-level matches, and the ops cost of tuning signal-to-noise falls on the team rather than on the tool.
About
- Platforms
- Web, Slack, Jira, GitHub, Google Workspace
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- July 20, 2026
Best For
Who it's for
- Engineering teams and SREs
- Product and roadmap teams
- Ops and incident response teams
- Security, GTM, support, sales, finance, legal, and HR teams
What it does well
- Surfacing prior decisions in live Slack discussions
- Retrieving decision provenance on demand
- Mapping decision connections and conflicts
- Reducing repeated discussions in engineering and product teams
- Improving incident response and MTTR
Integrations
Frequently Asked Questions
- Is PushContext free?
- PushContext is a paid tool. No permanent free tier is offered.
- Can I self-host PushContext?
- Yes. PushContext supports self-hosting on your own infrastructure.
- What platforms does PushContext support?
- PushContext is available on: Web, Slack, Jira, GitHub, Google Workspace.
Curated lists that include this category
PushContext operates as a passive memory layer that monitors decision-bearing conversations across Slack, Jira, GitHub, and Google Workspace, then surfaces relevant prior decisions at the moment a new discussion reaches the same territory. The core workflow has three modes: Push fires automatically during live Slack threads once a conversation hits a three-message maturity threshold, returning prior decisions with confidence scores in the 91–96% range and under one second; Recall answers direct queries with structured provenance rather than a ranked list of documents; and Graph builds a live model of how decisions connect, conflict, and evolve across the organization over time — detecting contradictions before they ship.
The differentiating architecture is what PushContext does not store. The vendor states that no raw messages are retained — only entity-level vector memory, with PII and secrets redacted at ingest via regex and named-entity recognition. ACL enforcement runs at both query and push time, so a decision a user cannot access in the source system does not surface for them in PushContext. This is a meaningful distinction for teams where compliance and data residency are blocking conditions for adopting any memory or search layer.
This tool fits teams where the same decisions get relitigated in Slack, where incident response is slowed by hunting for prior architecture choices, and where onboarding new engineers means months of tribal knowledge transfer. It does not fit organizations whose decisions live primarily in tools outside the current integration set — Confluence, Notion, Linear, Asana, Bitbucket, Figma are listed as coming soon, not available — meaning a team that runs product planning in Notion will feed the memory layer only what leaks into Slack and Jira, which is often incomplete.
On the deployment side, VPC and on-prem options are available for teams with strict data residency requirements. SSO via SAML and OIDC, MFA, RBAC, and per-tenant isolation are supported. SOC 2 Type II and ISO 27001 are described as on the compliance roadmap, not yet achieved — teams in regulated industries evaluating this against a certified vendor should account for that gap.
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