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Perseus — Live Context Engine for AI Agents MCP Server

Live context MCP server: resolves git, services, and tests into agent context. Local-first, MIT.

Publisher claimed. No tool list reported, and Pod has not connected to this server.

Status

Pod has not dialled Perseus — Live Context Engine for AI Agents yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Connect

Published as perseus-ctx on pypi. Runs locally.

Published as perseus-ctx on pypi. Runs locally.

Known issues

108 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded — those are release checklists and internal refactors, not things that will go wrong for you. Showing 12.

Most discussed

Document protocol-style context contracts with capability manifests (PDD alignment)

Body:

Motivation

PDD (arXiv:2605.12981) argues the durable artifact should be a machine-enforceable protocol of structural, behavioral, and operational invariants rather than prose. Perseus already has schema= validation and perseus validate; this issue documents how a .perseus/context.md block can be authored as a small protocol: typed handshake (schema), behavioral assertions (idempotency/safe-failure properties), and a capability manifest (side-effect, latency, resource bounds) — an

Read the thread · 2026-08-03 · closed · 4 comments

Expose Vault memory origin and entity-reference metadata in Perseus rendering

Summary

Expose Vault memory origin and external-entity reference metadata in Perseus memory rendering surfaces.

Why

Perseus already treats provenance and memory recall as first-class concerns at the render/orchestration layer, including @memory, @mimir, automatic memory injection, and provenance-aware documentation. Meanwhile, Perseus Vault is the persistent memory backend and now has follow-up issues proposed for:

  • first-class external entity references on memories
  • first-class ori

Read the thread · 2026-07-20 · closed · 4 comments

Reflective queries as a first-class operation in the context engine (question-driven read-time synthesis)

Origin: design discussion with @sowerkoku on sowerkoku/knowledge-kernel#2 (comment, reply). Vault-side mechanics: Perseus-Computing-LLC/perseus-vault#741 (and the abductive-context dependency, perseus-vault#740).

Problem

Memory retrieval today is context-driven: what's relevant to the current turn gets injected. The discussion surfac

Read the thread · 2026-07-21 · closed · 3 comments

session_start hook emits correct but fresh session does not receive it

Summary

The session-start hook emits the correct <memory-prep> block, but a fresh Rovo CLI session does not expose that recalled memory to the assistant.

What happened

The hook:

  • ~/.rovo/hooks/perseus-vault/session_start.sh

returns the expected memory-prep output when run directly, including the correct always-on rules and conventions.

Example manual verification:

printf '%s' '{"title":"default call prep format first names full names atlassian rovodev boundary 50+ skills ca

[Read the thread](https://github.com/Perseus-Computing-LLC/perseus/issues/790) · 2026-07-15 · closed · 2 comments

### [patent] Claim element: deterministic reproducibility guarantee (same template + same state => byte-identical context)

**Epic:** Patent: Non-Provisional Conversion

Agentic systems are probabilistic and **cannot** claim reproducible context. Perseus can. Make it a positive, tested limitation.

### Acceptance criteria
- [ ] Property test: identical template + identical source state ⇒ byte-identical assembled context across repeated runs
- [ ] Document the determinism contract (ordering rules, tie-breaking, budget allocation) in disclosures
- [ ] Exhibit showing two runs hashing to the same digest
- [ ] Identify a

[Read the thread](https://github.com/Perseus-Computing-LLC/perseus/issues/489) · 2026-06-28 · closed · 2 comments

### Most recent

### bench(agent-utility): add a paired coding-agent memory lane with delivery, use, and outcome evidence

## Source signal

Stele Bench publishes an open apparatus for paired coding-agent project-memory evaluations:

- article: https://stele-ai.dev/blog/anatomy-of-an-agent-memory-benchmark
- apparatus: https://github.com/Stele-Dev/stele-bench
- preliminary evidence boundary: https://raw.githubusercontent.com/Stele-Dev/stele-bench/main/eval/stele-bench/results/2026-08-preliminary/README.md
- methodology: https://raw.githubusercontent.com/Stele-Dev/stele-bench/main/eval/stele-bench/METHODOLOGY.md

Its

[Read the thread](https://github.com/Perseus-Computing-LLC/perseus/issues/992) · 2026-08-19 · closed · 0 comments

### feat(context): commitment-preserving verifiable compression — Context Codec borrow (2605.17304)

## Summary
Adopt Context Codec's commitment-level compression contract: before any compaction, extract typed, source-grounded semantic atoms (goals, constraints, decisions, preferences, tool results, evidence, safety boundaries) and verify their preservation after compression — with conservative fail-closed fallback for low-confidence and safety-critical atoms.

## Problem
"LLM context is not just tokens; it is a set of commitments" (arXiv:2605.17304). Existing compaction methods shorten length 

[Read the thread](https://github.com/Perseus-Computing-LLC/perseus/issues/971) · 2026-08-16 · closed · 0 comments

### feat(context): trajectory-mined context-source failure attribution (TRACE 2608.09153)

## Summary
Borrow TRACE's trajectory-mining + multi-component causal attribution loop to give the context engine a debugging layer: mine historical agent trajectories for implicit dissatisfaction signals (user corrections, rephrasing, abandonment) and attribute failures to the specific context source (system prompt, knowledge base, tool schema, skill) that caused them, then drive CREATE/UPDATE remediation of that source.

## Problem
Perseus compiles prompts from heterogeneous context sources. Wh

[Read the thread](https://github.com/Perseus-Computing-LLC/perseus/issues/968) · 2026-08-16 · closed · 0 comments

### feat(context): auditable context-compilation DAG (AGoT 2502.05078)

## Summary
Represent context compilation as a typed, versioned DAG (nodes = requirement / retrieved record / summary / contradiction / policy constraint / tool output / decision; edges = supports / depends_on / contradicts / invalidates / selected_for), with selective expansion under hard budgets and a sufficient/abstain/escalate terminal evaluator. Optional CISC-style confidence-weighted candidate prioritization, strictly behind evidence gates.

## Problem
The context engine assembles packets, 

[Read the thread](https://github.com/Perseus-Computing-LLC/perseus/issues/962) · 2026-08-15 · closed · 1 comment

### fix(skill-mining): review-follow-up — redaction retry fail-closed + empty-render telemetry (#932 review)

## Context
Independent adversarial review of #932 (deleg_aba71539, Aug 9 2026) passed all security gates (path traversal rejected at every name join, no auto-injection paths, redaction fail-closed on the initial render) but surfaced two MEDIUM findings. Both are fixed and verified locally on branch `fix/perseus-932-review-findings` (commit 11a4fce, 26 focused tests green, build --check clean) — this issue tracks landing them.

## Findings
1. **Redaction fail-closed covered only the first redacti

[Read the thread](https://github.com/Perseus-Computing-LLC/perseus/issues/934) · 2026-08-09 · closed · 1 comment

### Add a first-party local runtime evaluation protocol with capability and auth provenance

## Problem

Helix Agent Lab uses an asynchronous local MCP server, deterministic prompt-case scoring, hidden simulator state, runtime capability descriptors, bounded logs, reproducible seeds, and explicit separation between stateful system benchmarks and prompt-only evaluations. It also keeps provider authentication inside official installed CLIs instead of turning consumer credentials into a general API.

Perseus has strong memory/context/evidence benchmarks, but its cross-runtime evaluation co

[Read the thread](https://github.com/Perseus-Computing-LLC/perseus/issues/927) · 2026-08-06 · closed · 1 comment

### Adopt exact external-artifact prior-action checks as a first-class context/action integration

## Problem

Helix-AGI separates semantic familiarity from exact prior-action state: its interaction ledger records stable artifact identifiers (message, email, post, comment, thread, or notification IDs) when a response action occurs, then annotates later reads when the same artifact has already been handled. Semantic similarity alone cannot answer whether an agent has already acted on this exact artifact.

Perseus has durable memory, external references, context decisions, and Ledger receipts, 

[Read the thread](https://github.com/Perseus-Computing-LLC/perseus/issues/925) · 2026-08-06 · closed · 1 comment

[See all 20 reports Pod holds for Perseus — Live Context Engine for AI Agents](/mcp/perseus-live-context-engine-for-ai-agents/issues) — of 108 qualified upstream.

## Firsthand observations

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